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DTCI is seeking an intern to help product managers define and bring to market our vision for a qualified, unified dataset within the Data Platform. A successful candidate will actively assist product managers in working with the dataset to power our Custom Audience Segmentation Platform (CAMP) – which enables audience discovery and activation across advertising, marketing, content personalization and more across the DTCI media networks’ portfolio. Responsibilities Assist with internal analyses and data validation for the ESPN Data Platform Assist with User Acceptance Testing (UAT) criteria Compile post release documentation, including workflow between the CAMP Disney product and our vendors Measure and validate insights from across multiple datasets Collaborate with engineering, operations, sales, and product teams to help resolve post production issues and bugs Create templates and supporting documentation that can be referenced by technology and business stakeholders Basic Qualifications Basic SQL knowledge Proficient in Microsoft Office products including MS Excel, MS PowerPoint and MS Project Excellent written and verbal communication and interpersonal skills Highly organized, with the ability to multi-task Excellent problem solving and analytical skills Must be able to work in fast paced environment and deliver quality work on time Preferred Qualifications Advanced SQL proficiency and/or familiarity with Python or other languages Experience with ad-tech and ad-serving platforms Internship Eligibility Must be enrolled in an accredited college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within 6 months OR currently participating in a Disney College Program or Disney Professional Internship Must be at least 18 years of age Must not have completed one year of continual employment on a Disney internship or program. Must possess unrestricted work authorization Must provide full work availability during Program Length (listed below) Must provide own transportation to/from work Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months) Program Length: The approximate dates of this internship are June 10– August 16, 2019 Ability to provide own relocation, housing and transportation. Position is located in New York. Interns must be fully available for the duration of the internship. Recommendation – Print or Save This Role Description: Strong candidates may be invited to complete a phone interview. We strongly encourage applicants to print a copy of this role description so they can refer to it in the event they are selected for a phone interview.

Be a part of an innovative team and culture… At Disney, we believe that there are no limits to where creativity and imagination can take us. In our stories, we find examples of those inspired to envision a brighter tomorrow and the aspiration to make that dream come true. Our unique approach to citizenship is rooted in the entertainment that we create and the special relationship we have with kids and families around the world. Our assets and our reach provide us with an opportunity to inspire audiences everywhere to join us in taking action and caring for the world we share. This opportunity to inspire guides our work across citizenship. It is at the core of our citizenship mission to conduct our business and create products in an ethical manner and promote the happiness and well-being of kids and families everywhere. Our commitment to environmental stewardship focuses on using resources wisely and protecting the planet as we operate and grow our business. Environmental Sustainability, part of the Disney Enterprise Social Responsibility, is responsible for supporting the Company’s focus on its environmental goals. This group leads the ongoing development of Disney’s environmental footprint assessment and collaborates with business units to create metrics and processes that will enable the company to achieve aggressive goals to reduce its environmental impact. Current projects include conducting greenhouse gas emissions, water, and waste inventories enterprise wide; developing strategies to reduce our environmental footprint; evaluating new project designs for sustainability; and researching emerging environmental sustainability issues. Responsibilities A Day in the Life… The intern’s primary focus will be to: Assist with data collection for the Greenhouse Gas Inventory. This involves interacting with over 50 data providers, compiling and organizing data, data entry, quality assurance and quality control Assist with waste, water, and production inventories Track, analyze, and report on Disney’s environmental targets on GHG, water, and waste Assist in evaluating sustainability standards and developing benchmarks and metrics Assist in establishing sustainability best practices knowledge base for new assets Research emerging environmental trends and issues Assist in internal communication efforts: preparation of quarterly reports, figures, data analysis Basic Qualifications What we are looking for… The ideal candidate has the following skills, experience and abilities: Currently a graduate student working on a graduate degree in the following areas: engineering, environmental science & management, or data analytics Experience with sustainability, climate change, corporate citizenship, and environmental issues (regulations, developing legislation, industry trends) Strong technical and analytical skills, with experience collecting, validating, analyzing, reporting, and summarizing data. Experience in converting various units of measurement (i.e. volume to mass conversions, metric and American, etc.) Experience analyzing data using Excel (pivot tables, charts, formulas,…) Interested in applying an analytical education to environmental issues; such as waste, water resources management and climate change. Strong skills in process management, documentation, and communication skills Excellent ability to create organized, comprehensive, and clear briefs Knowledge in Sustainable Design and Green building certification Familiarity with environmental data reporting Preferred Qualifications Experience in graphic design for infographics or presentations Experience with data analysis using R or Python code Knowledge of Building Energy Modeling Software tools Required Education Currently enrolled in an accredited college or university and taking at least one class, or be a recent graduate of an accredited college or university within the last six (6) months at time of application, or be currently participating in the Disney College Program, Disney Culinary Program or Disney Professional Internship Program Currently a graduate student working on a graduate degree in the following areas: engineering, environmental science & management, or data analytics Additional Information The approximate dates of this internship are June 2019 through January 2020 Candidate must be available to work full time hours (approximately 40 hours per week) for the duration of the internship Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship Must be at least 18 years of age Must not have completed one year of continual employment on a Disney internship or program Must possess unrestricted work authorization Housing: Interns must provide their own housing for the duration of their internship program. Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program. Required Materials: PDF version of resume must be uploaded at time of application

The Disney Decision Science & Integration (DDSI) team provides internal consulting services for clients across The Walt Disney Company including Media Networks (e.g. ABC, ESPN), Studio Entertainment (e.g. The Walt Disney Studios, Disney Theatrical Group), Direct-to-Consumer & International, and Parks, Experiences and Consumer Products. The DDSI team sits at the intersection of business strategy, advanced analytics, and technology integration to help our partners explore opportunities for analytics, shape business decisions and drive value. Our work includes conceptualizing new solutions, solution design and development, implementation (and integration with business processes), and ongoing business support. DDSI seeks forward-thinking team members who are passionate about learning our client businesses, forming relationships with business leaders, and driving value through the tactical and strategic use of data and analytics. The work requires a combination of analytical mindset with hands-on experience in data and programming, and a natural gift for communicating and presenting complex analytical findings. Strong candidates are those with the right balance of technical and business skills that are critical for successful execution of analytics to drive business values. Responsibilities Partner with other business units and develop expertise in their field; Learn about existing processes and tools and identify opportunities for improvement using analytics; Develop research questions and hypotheses, and propose feasible research designs to address the questions; Collect, process, and analyze large data sets; Build appropriate analytical models independently or collaboratively with our science partners; Develop insights and interpret results; Develop audience-specific communication strategy to share insights with and collect feedback from partners and clients at different organizational levels; Act as a liaison to coordinate with internal and external teams with different skill sets and perspectives. Basic Qualifications 2+ years of experience in analytics or consulting role; Proficiency in acquiring, organizing, cleansing, manipulating, and mining large amounts of data; Demonstrated capabilities in performing exploratory and quantitative analytics; Strong written, oral communication, presentation, and interpersonal skills; Ability to work both independently and as part of a collaborative team; Ability to manage multiple priorities and adapt to rapidly changing business environment; Good balance of technical expertise and business acumen; Strong work ethics with great attention to detail and quest for quality; 3+ years experience and proficiency in Python, SQL, SAS (or similar programming languages); Proficiency in Excel, PowerPoint, and Tableau. Preferred Qualifications Experience with the media industry, especially television, SVOD, and film; Experience with marketing, sales, pricing, or revenue management; Experience with internal or external consulting; Proven solid experience in developing and applying analytics solutions to drive business values. Required Education Bachelor’s degree in a quantitative field (e.g. Statistics, Applied Mathematics, Operations Research, Industrial Engineering, Econometrics, Data Science) OR in Business Analytics with a strong quantitative background Preferred Education Master’s or Ph.D. degree in a quantitative field or in Business Analytics with a strong quantitative background  

We are seeking a Data Analyst who will partner with business and operating teams who will focus on reporting to monitor key performance indicators and metrics. Collaborating across disciplines, you will design and implement reporting that enables internal clients to access, explore and monitor their data. Responsibilities:  Partner with colleagues facilitating the design, build and automation of reports / dashboards that provide insight into customer conversion and behavior. Partner with cross-functional colleagues to identify and report on short-term and long-term performance. Implementing self-service tools used to access disparate data sources (both legacy and cloud-based). Train and support colleagues in the use of self-service data exploration and visualization tools. Analyze variability from trends; exploring data and communicating findings to influence acquisition and retention strategies. Perform ad hoc analysis as necessary. Instigate process change to evolve our subscriber reporting with the growing needs of the subscription business. Basic Qualifications: 2+ years of relevant experience (1 year work experience implementing and reporting on business key performance indicators and 1 year work experience using SQL is required) Strong analytic SQL skills and experience working with traditional relational databases and/or NoSQL databases such as Hadoop / Hive, BigQuery, Redshift. Additional programming languages (e.g. Python, R) preferred. Familiarity with data exploration / data visualization tools like Tableau, Chartio, etc. Ability to think strategically, analyze and interpret market and consumer information. Strong communication skills – written and verbal presentations. Excellent conceptual and analytical reasoning competencies. Comfortable working in a fast-paced and highly collaborative environment. Required Education: BS Degree Preferred Education: Degree in an analytical field such as economics, mathematics, or computer science is desired.

Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Disney Parks, Experiences & Consumer Products (DPECP). CIMA influences decision making with integrated, objective, and actionable insights. We are seeking a Senior Manager, Business Insights and Analytics to support Consumer Products (CP), the division of DPECP that brings stories and characters to life through innovative and engaging physical products and digital experiences across more than 100 categories, from toys and t-shirts, to apps, books and console games. The position reports to the Vice President M&S Analytics & Optimization and has approximately five direct reports. The Senior Manager, Business Insights and Analytics will be a driver and partner for analytics across the Disney Consumer Products business. The person will synthesize complex data from multiple sources to deliver business insights and strategic guidance. The candidate for this role should be an experienced data and analytics leader with solid knowledge and experience with customized quantitative, qualitative and online analytics and research projects to enable business strategies and decision making. Candidate must be proficient in analyzing and interpreting information to address specific business issues related to, but not limited to, trend studies, guest interactions and predictions, pre & post promotions evaluation, new product releases, etc. These analyses will often include cost benefit and/or return on marketing spend. Candidate would also be able to communicate key findings to internal stakeholders and across line-of-businesses (LOBs); to ensure appropriate data is incorporated in servicing their business needs. Responsibilities: Partner with the Retail team, Global Products team, Publishing team and other LOB teams to understand business drivers and synthesize information across businesses Support publishing business, connected experiences, kids apps and VR/AR products Lead measurement and data aggregation for multiple data sources including YouTube API’s; Create data sets and collect video series, spend, impressions data for KPI tracking Support media reporting via dashboards; Measure marketing performance and ROI from campaign analytics; Make recommendations on targeting strategy (segmentation, messaging, testing); Support subscription business including acquisition of new consumers, engagement with existing subscriber base and retention of subscription lifecycle Provide advanced analytical support and multi-touch attribution to model consumer interactions with digital channels and conversion tracking, propensity and look-alike modeling Influence and guide the build of predictive models and algorithms to effectively measure and optimize business performance Develop frameworks, models, tools, and processes to institutionalize findings Derive actionable recommendations in an easy to digest manner and communicate key insights across all levels of DPECP’s organization Basic Qualifications: 7+ years of experience in an analysis, market research or consulting role 4+ years of experience managing a team Experience in marketing analytics, especially measuring campaign effectiveness, defining and tracking KPIs. Experience with media reporting, subscription model and analytical support for user growth and retention Ability to work with multiple stakeholders to identify areas that data and analytics can add value to the business and translate business problems into solution-driven actions Ability to translate technical findings into actionable recommendations through easy to digest reports and presentations Ability to effectively partner across all levels and manage multiple projects with high standards Ability to provide leadership in a fast-paced environment with the ability to empower others Intellectually curious, analytically rigorous, hard-working, good work ethic and an on-point business intuition Preferred Qualifications: Experience with programming languages (SQL, R, Python etc.) Experience with advanced statistical data modeling and machine learning Experience using data visualization reporting tools (e.g. Tableau) Experience in consumer products, retail, publishing and digital products Required Education: BA or BS from in a quantitative field (Business, Math/Statistics, Economics, CS, Engineering, or similar) Preferred Education: Master degree in business, mathematics, statistics, or economics

Hilton is creating a best-in-class Data and Analytics department that will lead a connected ecosystem of data, technology, tools, techniques, people and processes. This innovative data & analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance. What will I be doing? The Data Science Team serves as internal advanced analytics consultants to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Language (ML) and Artificial Intelligence (AI). The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data & Analytics (DNA) teams, as well as Product Team partners. Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of products and services that help Hilton's mission to create heartfelt experiences for our customers. You will be an ambassador bringing values of big data to fruition and serving as the primary resource for building advanced analytics models for Hilton's customer initiatives, including but not limited to propensity modeling, customer centric pricing, loyalty, user experience, next best action, search optimization, direct marketing, and Internet of Things (IoT - connected room) initiatives. More specifically, you will: Work closely with business and technical teams to capture, analyze and understand business requirements, translating activities and business objectives into parameters for analytical models. Design, document, develop, code, and test advanced analytics models into scalable advanced analytics solutions in a big data environment. Partner collaboratively with other functional teams to access data elements, understanding the data being analyzed, and identifying improvement opportunities for the data ingestion process. Perform analysis on existing data, suggest new potential data sets to identify and foster innovative advanced analytics opportunities. Facilitate and identify repeatable testing strategies for measuring results produced by analytics models. What are we looking for? We are looking for problem solvers who are passionate about data and who love to have the chance to create improvements to data management. We believe success in this role will demonstrate itself through the following attributes and skills: Self-starter, well organized, and an assertive teammate willing to take ownership of responsibilities with a high level of positive energy and drive Excellent time management and project management skills that contribute to leading multiple priorities, working well under time constraints and effectively handling concurrent demands to prioritize responsibilities Effective communicator, collaborator, influencer and solution seeker across a variety of opinions Self-starter, detail-oriented and assertive team player, willing to take ownership of responsibilities, and possess a high level of integrity and positive attitude preferred To fulfill this role successfully, you must possess the following minimum qualifications and experience: BA/BS Bachelor's Degree Three (3) years of professional experience Two (2) years of hands-on experience in designing and implementing real-time statistical models and machine learning algorithms for scalable production environments One (1) year of experience in a full life-cycle analytics model environment, including development, deployment and maintenance efforts Exceptional problem solving capabilities, including analytical, quantitative and statistical skills Solid experience with programming skills: R, Python, Spark/Scala, Java, C/C++ and SQL It would be advantageous in this position for you to demonstrate the following capabilities and distinctions: MA/MS Master's Degree Two (2) years of hands-on experience in optimization, artificial intelligence, natural language processing, and/or deep learning Two (2) years of hands-on experience working on projects related to Personalization, Sales and Marketing, Customer Analytics, Digital Analytics, and/or Loyalty Exposure to IoT technology Knowledge of data structure and management, Business Intelligence (BI) and dashboard reporting in a big data environment What will it be like to work for Hilton? Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all! EOE/AA/Disabled/Veterans

Hilton is creating a best-in-class Data and Analytics department that will lead a connected ecosystem of data, technology, tools, techniques, people and processes. This innovative data & analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance. What will I be doing? The Data Science Team serves as internal advanced analytics consultants to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Language (ML) and Artificial Intelligence (AI). The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data & Analytics (DNA) teams, as well as Product Team partners. Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of advanced analytics modules and data science services in a big data environment. You will be responsible for serving as the primary resource for defining and recommending analytics application architecture, data frameworks, database structures, as well as monitoring and addressing application and database performance, issues, and problems. More specifically, you will: Work closely with business, technical and data science teams to capture, analyze and understand business requirements, translating activities and business objectives into analytical codes for application in a production scale environment. Architect, document, develop, code, and test advanced analytics models into scalable advanced analytics solutions in a big data environment. Partner collaboratively with other functional teams to access data elements, understanding the data being analyzed and identifying improvement opportunities for the data ingestion process. Facilitate and identify repeatable testing strategies for measuring results produced by analytics models. Contribute insights and solutions regarding database storage and optimization. Develop database design and architecture documentation. What are we looking for? We are looking for problem solvers who are passionate about data and who love to have the chance to create improvements to data management. We believe success in this role will demonstrate itself through the following attributes and skills: Self-starter, well organized, and an aggressive teammate willing to take ownership of responsibilities with a high level of positive energy and drive Excellent time management and project management skills that contribute to leading multiple priorities, working well under time constraints and effectively handling concurrent demands to prioritize responsibilities Effective communicator, collaborator, influencer and solution seeker across a variety of opinions To fulfill this role successfully, you must possess the following minimum qualifications and experience: BA/BS Bachelor's Degree Three (3) years of professional experience Two (2) years of experience in data engineering, data architecture, and/or data analytics One (1) year of hands-on experience in architecting, designing and implementing advanced analytics models, large-scale optimization, and machine learning algorithms for scalable production environments One (1) year of experience in a full life-cycle analytics code environment, including development, deployment, and maintenance efforts involving distributed data sets Experience with Python, Spark/Scala, Java, C/C++ and SQL, Unix Programming Experience with Hadoop, Hive, Spark and MySQL Experience with AWS Cloud Computing and Architecture It would be advantageous in this position for you to demonstrate the following capabilities and distinctions: MA/MS Master's Degree AWS Certifications Experience in Internet of Things (IoT) analytics model development involving sensors and connected devices Experience in ETL management, SQL/NoSQL platforms, Apache product (NiFi, KafKa) and data warehousing technologies (Snowflake, Redshift) Exposure to information security, networking, and data governance What will it be like to work for Hilton? Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all! EOE/AA/Disabled/Veterans

***This position can be located at our corporate office in Dallas, TX or McLean, VA*** Hilton is creating a best-in-class Data and Analytics department that will lead a connected ecosystem of data, technology, tools, techniques, people and processes. This innovative data and analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance. What will I be doing? As a Manager, Data Scientist of Personalization you will serve as an internal advanced analytics consultant to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Learning / Artificial Intelligence. The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data Analytics teams, as well as Product Team partners. Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of products and services that help Hilton's mission to create heartfelt experiences for our customers. As an ambassador, you will bring big data values to fruition. Serving as the primary resource for building advanced analytics models for Hilton's personalization initiatives, including but not limited to propensity modeling, user experience, the next best action, search optimization, direct marketing, and (internet of Things) IoT (connected room) personalization initiatives. More specifically, you will: Research and build statistical learning models and algorithms, develop a testing framework and conduct experiments. Conduct analysis and highlight significant patterns to increase customer and owner satisfaction. Actively draw insights from data to create new sources of value. Communicate results and ideas to business and technical teams. Build relationships and collaborate with Enterprise Architects to setup automated, streamlined and responsive data processing. Partner collaboratively with the Data Governance team to ingest new data sets into the Hilton data lake. Partner with the Product Teams to understand needs and incorporate findings. What are we looking for? We are looking for problem solvers who are passionate about data and who love to have the chance to create improvements to data management. We believe success in this role will demonstrate itself through the following attributes and skills: Exceptional problem solving, analytical, quantitative, and statistical skills. Experience in handling multiple contending priorities simultaneously. Self-starter, well organized, and an assertive teammate willing to take ownership of responsibilities with a high level of positive energy and drive. To fulfill this role successfully, you must possess the following minimum qualifications and experience: BA/BS Bachelor's Degree Three (3) years of professional experience Two (2) years of hands-on experience in statistical modeling, machine learning, artificial intelligence, and/or search optimization Two (2) years of hands-on experience in significant customer personalization initiatives for scalable production environments Solid programming skills: SQL, R, Python, Spark/Scala, Java, C/C++ It would be advantageous in this position for you to demonstrate the following capabilities and distinctions: MA/MS Master's Degree Four (4) years of professional experience Experience in IoT analytics model development involving sensors and connected devices Experience in model development involving distributed big data sets (Spark, Scala, Hadoop) Experience in ETL management, SQL/NoSQL platforms, Apache products (NiFi, KafKa) and data warehousing technologies (Snowflake, Redshift) What will it be like to work for Hilton? Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day.  And, our amazing Team Members are at the heart of it all! EOE/AA/Disabled/Veterans

The JetBlue Travel Products Data Analyst reports directly to the GM of Data Engineering and is responsible for interpreting data and analyzing results using advanced techniques, running live experiments and presenting findings to stakeholders. The Data Analyst will be working with public and private datasets of different data types. They will also filter and clean the data, identify and analyze trends along with working with data engineers and scientists to ensure identified trends are implemented to enable JetBlue Travel Products to become a digital disruptor. The Data Analyst can change priorities and focus to meet business demands, excels when working on complex projects, is motivated to deliver results, and exhibits the JetBlue values of Safety, Caring, Integrity, Fun, and Passion. Essential Responsibilities Build and prototype analysis pipelines in order to provide insights at scale. Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information. Develop comprehensive understanding of data structures and metrics, advocating for changes that will improve product adoption and customer conversion. Run live experiments that drive key product decisions. Work with data engineers to embed the research into production pipelines. Partner with product management and marketing teams to identify opportunities, envision and design technology products. Assist with creating the data infrastructure and analytics environments. Participate in the DevOps practice as it pertains to data team. Partner with JetBlue Tech Ventures to identify, monitor, learn, experiment and share information about emerging technology that is relevant to JetBlue Travel Products. Other duties as assigned. Minimum Experience and Qualifications Bachelor’s Degree in Computer Science or related technical field or equivalent practical experience with demonstrated capability to perform job responsibilities through four (4) previous years of experience and education. One (1) years’ experience in an Analyst role. Good understanding of software engineering environments and standards. Experience managing Service Level Agreements (SLA’s) Interacting daily with people at different levels within the organization, including developing and maintaining ongoing relationships. Pass a ten (10) year background check and pre-employment drug test. Legally eligible to work in the country in which the position is located. Proficient in Python with numpy, pandas. Proficient with Jupyter notebooks, Datalab notebooks. Proficient in linear algebra and statistics. Familiar with DataStudio, Looker, Tableau. Familiar with basic SQL for structured and unstructured data. Familiar with cloud technologies, SAAS, IAAS. Familiar with ML concepts. Preferred Experience and Qualifications Maintaining a public profile and building relationships throughout the organization. Three (3) years’ experience in technology roles. Experience in writing software in one or more languages such as Java, Python, Go and/or JavaScript. Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Amazon Web Services, Azure and Google Cloud Platform. Crewmember Expectations: Regular attendance and punctuality. Potential need to work flexible hours and be available to respond on short-notice. Well-groomed and able to maintain a professional appearance. When working or traveling on JetBlue flights, and if time permits, all capable crewmembers are asked to assist with light cleaning of the aircraft. Organizational fit for the JetBlue culture, that is, exhibit the JetBlue values of Safety, Caring, Integrity, Passion, and Fun. Equipment: Computer and other office equipment. Physical Effort: Generally not required, or up to 10 pounds occasionally, 0 pounds frequently. (Sedentary) Disclaimer: The above statements are intended to describe the general nature and level of work being performed by the crewmember(s) assigned to this position. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of individuals in this position. Position Expectations may be subject to change as the needs of the organization change. JetBlue Airways Corp. is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, marital status, veteran status, sexual orientation, gender identity or expression, disability status, pregnancy, genetic information, citizenship status or any other characteristic protected by law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

The successful Candidate for this role will become part of the Center of Excellence for Process Automation in Personal Investing at Fidelity. We provide end-to-end architectural strategies and spearhead innovative solutions for our customers. This includes a very large realm of activities, including but not limited to:  influencing product strategy, developing scalable solutions, partnering with squads in launching valuable and clear solutions to our customers. As a Data Engineer you will utilize your expertise to have an end-to-end vision, and to see how a logical design will translate into one or more physical databases, and how the data will flow through the successive stages involved. You have a passion for delivering solutions in a client obsessed environment that will give you opportunities to grow multi-dimensionally. The Expertise We’re Looking For Bachelor’s degree in Computer Science or similar discipline. 5+ years’ experience in Large Big Data Development and Deployment Automation in Private/Public cloud preferably on AWS Understanding principles, best practices and trade-offs of schema design for both Relational and NoSQL database systems Good Understanding of Big Data NoSQL databases/technologies (DynamoDB, Hive, Spark, MongoDB) Experience with DevOps, Continuous Integration and Continuous Delivery (Maven, Jenkins, Stash, Ansible, Docker) Extensive Experience Programming in Python, Ruby, Go, JavaScript and Java, as well as strong Unix shell skills Define structure, integrate, govern, store, describe, model, and maintain data in the enterprise for accuracy and usage maintaining current state Support policies and procedures enforced by the data governance committee to ensure best practices of data architecture including accountability, governance, and requirements Document data inventory and data flow diagrams to determine what can be measured, when and how Experience building Data Ingestion on the cloud (using tools like Glue, Apache Sqoop or other vendor products like Talend or StreamSets) The Purpose of Your Role Determine database structural requirements by analyzing client operations, applications, and programming; reviewing objectives with clients; evaluating current systems; Develop database solutions by designing proposed system; defining database physical structure and functional capabilities, security, back-up, and recovery specifications. Maintain database performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases; completing maintenance; answering user questions.  The Skills You Bring Your expertise in languages such as Python, Ruby, Go, JavaScript and Java, as well as strong Unix shell skills Your Big Data Skills with popular stacks like Hadoop and Spark Your knowledge of AWS CloudFormation, OpenStack HEAT templates and Terraform Your expertise in all phases of data modeling, from conceptualization to database optimization. Your ability to map the systems and interfaces used to manage data, sets standards for data management, analyzes current state and conceives desired future state, and conceives projects needed to close the gap between current state and future goals Your desire and aptitude for learning new technologies Your excellent verbal and written communication skills The Value You Deliver Build a strategy to re-invent systems and tools to create a continuous cycle of Innovation Create data monitoring models for each product and work with our marketing team to create models ahead of new releases Ability to build data models supporting complex transformation Identifying and ingesting new data sources and performing feature engineering for integration into models How Your Work Impacts the Organization Fidelity Personal Investing Development teams provide direction and implementation to the experiences that enable our Retail customers to be financially successful. Your work, as part of the team, enables functionality developed throughout the firm to reach these customers and create the high-value interactions that will keep them coming back. As part of the team you will be able to impact the speed, efficacy, and scale of the technical solutions that will serve these customers through forward looking architectural designs as well as hands-on implementation. Company Overview At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. Fidelity Investments is an equal opportunity employer.

Organization: StubHub, www.stubhub.com (an eBay company NASDAQ: EBAY) The Opportunity We are looking for an experienced Data scientist with exceptional product sense to help champion the use of data in product decision-making. In this role you will work closely with our Engineering, Product, Ops, and Design teams to evaluate product opportunities, track product metrics, develop and analyze experiments, and drive deep-dive studies to identify new opportunities. You will: Apply data & analytical skills to help understand how our customers use our products Partner closely with product leadership to define, measure and report on core product and feature metrics Design customer-facing experiments (A/B tests) and distill their results into actionable outcomes Execute cohort studies and drive analyses to understand customer behavior and identify opportunities for improving our product(s) Collaborate with data and business intelligence teams to develop reports and visualization dashboards Build financial models to project key business metrics - Traffic, conversion, Engagement - and develop KPIs to measure initiative performance You have: Strong quantitative background with Product analytics experience. Proven track record in solving business problems through fact based and scientific analytics Excellent technical skills - including the ability to query databases (SQL, Hive etc.), leveraging R/Python to analyze complex data, and using Tableau (or other visualization tools) to deliver insights at scale Deep understanding of statistics, experimental design, and causal inference The ability to translate analytical insights into clear recommendations and effectively deliver it to technical and non-technical stakeholders Worked in cross-functional and cross-cultural teams, and are able to communicate technically intricate concepts/results in business terms Passion for technology and consumer products Why StubHub? StubHub is the world's largest ticket marketplace, enabling fans to buy and sell tickets to tens of thousands of sports, concert, theater and other live entertainment events. StubHub reinvented the ticket resale market in 2000 and continues to lead it through innovation. The company's unique online marketplace, dedicated solely to tickets, provides all fans the choice to buy or sell their tickets in a safe, convenient and highly reliable environment. All transactions are processed and delivered by StubHub and backed by the company's FanProtect Guarantee™ processing a ticket every second today with billions of ticket sales each year globally. Company partners MLB, AEG, ESPN and many leading teams such as the San Francisco Giants and University of Texas, along with over 60 other teams in MLB, NBA, NHL and NCAA. Our Values StubHub One – We act as one team in pursuit of connecting people through inspiring event experiences At StubHub, we are: Driven – We strive for excellence – constantly improving our game Courageous – We are bold & not afraid to challenge the status quo Inventive – We see what others don’t & pioneer new paths Richly Diverse – We recognize & respect everyone as a unique individual Brand – We experience the world through StubHub. eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.

eBay is diversifying payments, this role will be power Payments ecosystem by providing insights to executive leadership, analytics related to fraud solutions, value proposition and innovation related to the overall customer experience for eBay! Looking for a company that inspires passion, courage and imagination, where you can be part of the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join eBay – a company you can be proud to be a part of. The Global Payments, Billing & Risk (GPBR) function at eBay works to ensure great experiences when buyers and sellers come together and engage in commerce on the biggest marketplace in the world. This involves comprehensively understanding Payments & Risks on eBay. Identifying the opportunity areas and helping build scalable solutions to drive great user experience. Analytics is a critical need for each area. Core analytics capabilities include the ability to instrument right KPI’s, identify the landscape of entire function, figure out opportunities for improvement work with product and payment providers to craft scalable solutions, and monitor their performance. The GPBR Analytics and Insights team builds this behavioral intelligence by exploring innovative interpretations of existing and new sources of data, using advanced analytical techniques, and overlaying the appropriate strategies to deliver world-class results. The group is multi-disciplinary with broad spectrum of industry experiences and deep analytical and quantitative expertise. The group is currently seeking a high energy, driven, collaborative team member that brings extensive problem solving skills to further its goal of applying cutting-edge analytics, Insights and visualization to drive payments roadmap. The role is data and analytically intensive. Successful candidates should be quick learners, strategic thinkers, operational and execution driven facilitators, problem solvers, and have an entrepreneurial spirit. This role is heavily cross-functional and ideal for candidates who enjoy both defining and solving complex problems, while getting deeply involved in the classification domain and product partners. Skills in problem definition, rigorous analysis, and recommendation development will also be critical as well as demonstration of exceptional interpersonal skills, initiative and integrity. Responsibilities Develop a deep understanding of Payments ecosystem and associated risks. Model seller and buyer risk for the market place business Structure complex, ambiguous business questions and utilize analytical skills to synthesize actionable insights to the benefit of leaders in the organization Discover new opportunities to grow and optimize the business through analytics, financial modeling, and business case development. Own the domain and associated deep dive analytics. Design, plan, and execute methodologies to measure successes of business initiatives. Collaborate with other analysts/data scientists and help guide strategy based on learning from other analyses/projects across the organization Perform analysis, hypothesis testing, build risk strategy and policy recommendation. Conduct product performance A/B test analysis. Create and maintain insightful automated reports and dashboards utilizing typical data quality functions (e.g. standardization, consistency, etc.) Work closely across the matrix with teams like Finance, Marketing, Product, Engineering and senior executives Qualifications Bachelor’s degree in Computer Science, Engineering, MIS or other quantitative fields 5+ years’ of professional experience in using data to facilitate business decisions Extensive experience in BI/DW best practices Experience in efficient manipulation and analysis of large data sets Proficiency in databases (SQL), and programming languages (at least one of following: Python, R, Ruby, Java, etc) Exceptionally attentive to detail and embracing of teamwork People-oriented; eager to build positive and productive relationships with a variety of stakeholders Experience manipulating large data sets, interpreting data trends and using a multitude of disparate data sources and tools Ability to shift priorities quickly, while maintaining a high degree of organization and control eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.

At eBay, you will be part of a purpose driven community dedicated to creating a bold and versatile work environment. In eBay Payments, you will be an integral member of a growing organization that inspires passion, courage and inventiveness - creating the future of global commerce and making an important, positive impact on millions of eBay sellers and shoppers around the world. If you are looking for a special place to take your Payments career to the next level, we want to talk with you! Risk Management is at the core of Payments done well – and we are hiring curious, driven, and courageous experts to transform our business unit to enable eBay's next generation Payments strategy. Our focus is to ensure the integrity of our marketplace for buyers and sellers who transact with us every single day. The scope of our charter includes Risk Management Strategy, Policy, Decision Sciences, and Policy Operations. We are looking for a highly talented and self-motivated data scientist to join our Decision Science team. Decision Science contains both data scientists and software engineers responsible for creating and implementing state of the art machine learning algorithms for fraud detection and risk assessment in support of Risk Management. The primary responsibility of this role is to assist in algorithm development inside of a high throughput, low latency, big data environment. Primary Job Responsibilities The data scientist will support the risk department, leveraging big data technologies to aggregate and structure data, perform statistical analysis, and build algorithmic solutions to reduce fraud, monitor our buyers and sellers, and intermediate payments to improve the overall eBay experience. You will mine and analyze massive amount of unique internal and external data to gain deep business knowledge and insight on customer activity and usage behaviors and their relationships with fraud, credit risks, and other types of behaviors. Acts as the technical owner of projects that may require significant customization of existing analytic tools, techniques, processes or development of new ones. Perform statistical data analysis and understanding, ensure data quality, and develop tracking and reporting systems to determine the effectiveness of models, rules, and other risk initiatives and programs. Design and create systems to structure, aggregate, and turn petabytes of messy information into statistically significant features for modeling purposes. Problem sets are focused around fraud and risk management to include models to prevent fraudsters from listing and monetizing on the platform, thwarting registration attacks, and risk scoring our customers. Required Skills and Experience Bachelor’s degree in a quantitative field, MS/PHD preferred Entry to mid level role. Experience in SQL, relational databases Experience with Big Data technology: Hadoop framework: Hive, Spark, etc. a plus Expertise in machine learning packages Python, R,SAS Strong knowledge of 1 or more scripting and programming languages (Python, Java, Scala, etc.) Background in a variety modeling techniques: GBM, logistic regression, clustering, neural networks, NLP Strong analytical skills with good problem solving ability eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.

This position is within the Global Insights and Analytics (GIA) team - the heart of Intel's central market research and insights function that supports the Global Marketing and Communication (GMC) group and Intel's Business Units (BUs). Emphasis of this position is on driving data driven culture into Intel's marketing efforts and integrating analytics driven insights into decision making by combining behavioral data (i.e. web behavior, social media listening, search, telemetry) with traditional primary research data (i.e. survey-based data, focus groups) and other types of data (i.e. sales, media spend). This individual contributor Marketing Data Scientist position will assist business with insights based on finding patterns and relationships in data. This position requires experience with predictive modeling, statistics, Machine Learning, Data Mining, and other data analysis techniques to collect, explore, and extract insights from structured and unstructured data. We are seeking someone who has a strong business understanding in order to translate data into intelligence, solve a variety of business problems and enable marketing strategy. Qualifications Minimum Qualifications: Bachelor’s Degree in in Statistics, Mathematics, Economics, Computer Science, Data Science or Engineering (Masters Degree is a plus). Minimum 4 years of experience in marketing, sales or business analytics. Experience with data mining software packages such as R, PYTHON, SAS, SPLUS. SQL and statistical algorithms and modeling. Experience working with large and complex data sets. Experience in predictive modeling and machine learning algorithms. Additional Preferred Characteristics: Effective presentation/communication skills and the ability to interpret and simplify data for others. Communicate conclusions in a clear and sharp manner. Work well independently as well as part of a broad team. Innovative attitude and out-of-the-box thinking. Curious and inspired by challenges. A keen interest in innovation and breaking new ground for Intel. Inside this Business Group Global Marketing & Communications is responsible for Intel's brand management, end-user product marketing and go-to-market activation strategy for direct and indirect marketing programs worldwide. Other Locations US, California, Santa Clara Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

This position is for a research scientist in the Assembly and Test Technology Automation organization. Specific responsibilities of the individual would be to: Developing innovative manufacturing systems solutions that are strategic and revolutionary in nature with a high degree of impact to Intel. Developing proof of concepts and initial pilots utilizing novel sensors (IoT), data mining and machine learning methods to solve novel and diverse manufacturing problems related to targeting a fully automated manufacturing environment. The individual is expected to work over a wide array of advanced manufacturing initiatives such as stochastic scheduling solutions, deep networks applications ranging from image processing to reinforcement learning, process modeling and control. Stay current with the latest developments in industry and academia in the field of advanced manufacturing Drive development of novel ideas and results that would result in patents and publications Qualifications: PhD in the field of Electrical Engineering, Computer Science, Industrial Engineering, Operations Research, Mechanical Engineering, or Statistics Expert in the field of applying optimization, data modeling and machine learning to solve technical problems Must have software development experience with scripting languages and software platforms related to advanced statistics, optimization, data mining/machine learning and visualization (ex. SQL, SAS, JMP, R, Python, CPLEX, C++) Knowledge of and experience with open source machine learning frameworks Experience in design and implementation of advanced analytical applications using complex algorithms and solving real life problems in manufacturing Thesis or research experience in topics related to analytical problems in areas such as data mining, pattern recognition, optimization, data-driven prognostics, fault diagnostics, artificial intelligence or machine learning. Strong oral and written communication skills Other strongly desired characteristics: Ability to influence across organizations, proven collaboration skills, comfortable working with a very high degree of ambiguity, ability to make quick, informed decisions taking into account trade-offs Individual should be able to quickly learn and master different aspects of Intel's business to deliver coherent value, and is expected to continuously learn new areas of strategic research that would be impactful to manufacturing Exceptional attention to details and organizational skills Inside this Business Group As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Intel's Information Security team is hiring Information Security professionals in all domains of Cyber Security across our locations in the United States, Israel, India and Costa Rica. Candidates with 5 - 20 years of experience in Cyber Security and with diverse experience in one or several of the key Cyber Security domains are encouraged to apply. Security Management, Governance, Risk, Compliance, Privacy, Vulnerability Management, Data Protection, DLP, Identity and Access Management, Network Security, Application Security, Cryptography, End point security, Security engineering, Security architecture and design, Threat management, Threat intelligence, Security operations, Forensics, Investigations, Audit, Security Operations Center (SOC) and other major areas of Cyber Security are some of the skillsets we are looking for. If you think you are a passionate security professional and ready to pursue an exciting and satisfying career with Intel, please apply in this requisition. ----- This position is for Intel's enterprise Information Security team. The Cyber Threat Intelligence Analyst manages threat priorities, detection coverage, and the threat actor portfolio. This role will partner with incident response, red team, and vulnerability and risk management. Your responsibilities will include but not be limited to: Track threat actors, campaigns, leading and tailing vulnerabilities and exploits, and associated tactics, techniques, and procedures (TTP). Covert TTPs into internal SNORT, YARA, and SIEM rules to produce actionable alerts. Produce clear, concise, and precise oral briefings, technical alerts, and actor profiles in accordance with accepted analytic tradecraft and methodologies. Reverse engineer malware (static or dynamic) to support incident response and proactively convert malware artifacts into retro-hunts in malware repositories. Ability to integrate timely, actionable, and relevant TTPs into Red Team operations to emulate actors, model campaigns, and increase detection in assumed areas of risk. Ability to collect/analyze long-term actor trends to coordinate with peer information and product security, legal, and corporate security teams to reduce business impact. Coordinate intelligence internally with information security teams and externally with trusted information sharing groups and select industry partnerships. Qualifications: The ideal candidate should exhibit the following behavioral traits: Problem-solving skills Ability to multitask Strong written and verbal communication skills Ability to work in a dynamic and team oriented environment You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Minimum Qualifications: Bachelor's degree or higher in Computer Science, Math, Statistics, Information Systems, Economics, International relations or any other related area. Certifications such as CISSP, GIAC, GCIH, GCFA, GREM, OSCP'E, CREST Certified Threat Intelligence Analyst, or FOR578 from certification bodies like ISC2, ISACA, SANS, or comparable intelligence community training are required. 5+ years of experience working as a cyber intelligence analyst, incident responder, Red team operator, reverse engineer, or technical cyber policy analyst. This U.S. position is open to U.S. Workers Only. A U.S. Worker is someone who is either a U.S. Citizen, U.S. National, U.S. Lawful Permanent Resident, or a person granted Refugee or Asylum status by the U.S. Government. Intel will not sponsor a foreign national for this position. Preferred Qualifications: Possess a passion for systems thinking, data analysis, strong analytical skills. Integrate IOCs, detection rules, and correlation rules in accordance with CND-based models (Kill Chain, Pyramid of Pain, ATT&CK, etc.) with security operations tools. Experience in Agile/Kanban enterprise-scale software development. Industry or sector leadership in designing and improving the field of cyber intelligence. Change agent with ability to drive accountability and cross-team outcomes across a matrixed global team environment across time zones and international geographies. Knowledge, Skills, Abilities: Scripting languages: Python, Ruby, JavaScript. Network security tools: DNS monitoring tools, NIPS/NIDS rules, Next generation firewalls. Malware reversing: Dynamic and static malware analysis, reversing engineering tools. Email security tools: Proxy tools, anti-phishing software, and e-mail content scanning. Host based security: HIPS/HIDS correlation rules, endpoint detection and response tools. Analytic tradecraft: structured analytic techniques and/or Intelligence community standards. Intelligence enrichment tools: PassiveDNS, Domain Registration, VirusTotal, OSINT collection. Candidates should be willing to relocate to Folsom, California or Portland, Oregon area. Inside this Business Group Intel's Information Technology Group (IT) designs, deploys and supports the information technology architecture and hardware/software applications for Intel. This includes the LAN, WAN, telephony, data centers, client PCs, backup and restore, and enterprise applications. IT is also responsible for e-Commerce development, data hosting and delivery of Web content and services. Other Locations US, Arizona, Phoenix; US, California, San Jose Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

This an integral role within the Data Analytics and Self-Service Business Intelligence (SSBI) team in Internal Manufacturing Procurement Operations. We are responsible for working with the Global Supply Management organizations to solve business supply chain problems using data. Candidate will work directly with the Data Stewards from the procurement organization and our Community of Practice. This team will provide level 2 and level 3 support for business intelligence work spanning across procurement operations. Candidate will contribute to transforming how the business groups in procurement design their data and systems to achieve world class procurement operations through the use of data analytics and workflow automation. Successful candidates will have a deep knowledge, proficiency and experience with Excel, PowerBI, ETL techniques, Microsoft BI stack, DAX, SQL, Relational Databases, RPA and PEGA. Ideal candidates will have a PMP certification, the ability to analyze data, create data models, and interpret the results that will enable others to drive change and action. Candidate will apply mathematics, statistics and advanced analytics to find patterns and relationships in data to drive optimization within our operations. Candidate should be able to create dashboard visuals that are both aesthetically pleasing and tell a story. Individuals must demonstrate that they are a self-starter, responsible, dependable and inquisitive. Past work experience in Supply Chain, R and/or Python is a plus. Desire to infuse new mindset to streamline our business is a must. Candidate should be very comfortable working within teams and sharing their knowledge with teammates. Challenging status quo and passion to drive smart change using data is essential to the job. Qualifications BS + 3 yrs. exp.; MS + 2 yrs. exp. in Business Administration; Information Technology; Computer Science or other technical degrees and 3+ years of experience in Engineering/Project Management/Data Analytics experience. This U.S. position is open to U.S. Workers Only.  A U.S. Worker is someone who is either a U.S. Citizen, U.S. National, U.S. Lawful Permanent Resident, or a person granted Refugee or Asylum status by the U.S. Government. Intel will not sponsor a foreign national for this position. Inside this Business Group As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth Posting Statement. Intel prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

Adobe believes in hiring the very best. We are known for our vibrant, dynamic and rewarding workplace where personal and professional fulfillment and company success go hand in hand. We take pride in creating exceptional work experiences, encouraging innovation and being involved with our employees, customers and communities. We invite you to discover what makes Adobe such a great place to work. Magento is looking for an exceptional Senior Software Engineer to join our team and help construct the core of the Magento Order Management product, as well as participate in the architecture and development of new, greenfield initiatives. We process and manage a substantial volume and variety of eCommerce and Logistics data. We invite you to be involved in building complex, fully featured Order Management capabilities, developing a distributed microservices system at scale, building tools and features to support cutting edge logistics, and designing projects for long-term reasonability and extensibility. What You Must Have: Passion, ambition, and optimism, offset with realism. We are an ambitious Engineering organization with big goals. We take big chances and know that optimism and perseverance are the keys to success; and we are tested on that daily. If this excites you, great. If uncertainty is uncomfortable, this might not be the right place for you. Curiosity backed by execution. Technology is our mantra, and you should be prepared to geek out on the intricacies of ecommerce, Logistics, and Order Management. There’s a lot to learn and define, and you will naturally need to be obsessed with staying ahead of the curve. But it doesn’t stop there. You must leverage that learning and turn it into creating amazing experiences both inside and outside of Magento. Motivation and determination. Exciting, and daunting challenges face us every day at Magento. We excel in the pursuit of challenging goals. Magento is looking for fighters, who go to bed and wake up each day with a fire in the belly. What You Must Do To Be Successful In This Position: Apply deep knowledge of the fundamentals of Software Engineering to write robust, maintainable, efficient code that powers the Magento Order Management product Apply experience working with fault-tolerant, resilient, highly-available distributed systems 6+ years of experience building Web Applications and Software-as-a-Service Platforms A demonstrated history of working and supporting DevOps culture, from build to deploy Good foundation in software architecture design patterns and the ability to apply those principles to real-world software problems Strong experience working with relational or NoSQL databases and an understanding of the trade-offs involved in interacting with SQL systems A demonstrated history of working with different technologies and a capacity to grown and learn difficult things continually Exceptional communication is a must What Skills & Experience We’d Like You To Have: Deep knowledge of PHP, Python, Java, GO – or solid OOP experience A strong background building ecommerce or Logistics applications or equivalent 5+ years of experience working with relational, NoSQL, or in-memory data stores, ideally mySQL, Postgres, or Redis We use containers quite a bit. If you have used Docker or Kubernetes experience, that's going help The more you understand about cloud-native software engineering practices – AWS, Azure, GCP, or Digital Ocean - the better Bachelor’s, Master’s or Doctorate in computer science or a related field, or relevant work experience At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.

Overview Come join our Central Data Organization as Enterprise Data Architect! You will be designing, building, iterating, and prototyping algorithms and applications on top of the collective financial data of 37 million consumers and small businesses. Applications will span multiple business lines, including personal finance, small business accounting, and tax! Discover what it’s like to be part of a fast paced team dealing with challenging engineering problems where self-motivated engineers can do the best work of their life. Responsibilities Establishes the structure, connections, and relationships within the data in preparation for mining, modeling, or migration activities Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”. Explore new technology shifts in order to determine Take an active role in collaborating to develop strategic direction, systems roadmap, and business and operational processes by providing the required technical guidance. Execution – Ability to drive multiple large-scale projects in parallel by providing the required architectural guidance Hands On – Be prepared to get hands on and debug complex issues or create fully working POCs which teams can take forward Grow Talent – Grooms next level technical leadership and takes responsibility in growing overall technical leadership in the group Speed as a Habit – can operate in a fast-moving environment, make quick decisions and execute fiercely to deliver outcomes Deep Dive – Take passion in going deep into critical issues and apply the technical/process/mindset-change learnings back into the product and team Technical roadmap – Develop a 3-year technology vision for the owning product or sub-systems. Provide perspective on leading industry trends, recommendations on new and emerging technologies, technology prototypes, patent proposals and engineering process improvements Drives architectural advancements in data pipelines Qualifications At least 10+ years of overall experience BS/MS in Computer Science or related area Experience in design and development of large-scale machine learning platforms from an engineering or product perspective (where the platform is the ‘product’) Strong knowledge of data governance and privacy by design Excellent communication skills with examples of influencing across organizations Ability to explain complex technical architectures and designs to both technical and non-technical stakeholders and drive decisions Ability to operate at highly varying levels of abstraction from business strategy to product strategy to high level technical design to detailed technical design to implementation Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). Knowledge of machine learning techniques (i.e. classification, regression, and clustering) and large scale systems and applications. Experience with building solutions to improve Developer Productivity and data-driven decisions Understand machine learning principles (training, validation, etc.) Team/Leadership Qualifications: Team player possessing strong analytical, problem solving and communication skills Strong mentoring skills. Able to influence and communicate effectively with both technical and non-technical people Demonstrated ability to work with global teams across time zones Ability to work effectively in a fast paced, complex technical environment High adaptability and flexibility Experience driving for results across cross-functional teams while maintaining effective working relationships Excellent communication skills. Communicates clearly, succinctly and persuasively to all levels of employees, customers and management (including executives) "Self-starter" attitude and the ability to make decisions independently Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide. Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit. Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.