The Principal Information Architect provides thought leadership on technology solution design across Disney Parks, Experiences and Products (DPEP) Technology. The Principal Information Architect leads Technology Solutioning activities on highly complex, strategic projects or programs. The Principal Information Architect identifies, plans, and coordinates a set of related technical activities on multiple projects within a program, to manage their interdependencies in support of specific business strategies. The Principal Information Architect maintains a strategic view of future state technology over a set of projects, providing the framework for implementing business initiatives. The Principal Information Architect leads the mentoring and coaching of other technical experts and leads the development of best practices for the organization. The Principal Information Architect leads business engagement and stakeholder management activities, and ensures the required outcomes are built, tested, and delivered for multiple large and complex projects. Responsibilities: Work with Business and Technology teams to define data and analytics needs, and architect strategic solutions to meet those needs Hands-on delivery of reusable components and frameworks for projects, proof-of-concepts, and solution prescriptions across emerging platforms Support delivery teams to ensure that solutions align to strategic design principles and approved reference architecture. Perform industry research for best practices in architecture and data management for current initiatives and proactively share this information as applicable with other members of the team. Research leading edge technologies for future projects and use cases related to Cloud and Big Data platforms and tools, analytics and reporting and Machine Learning Advises and makes recommendations on emerging trends which will be useful to the business, IT, and the entire segment in the delivery of future projects. Ensuring quality business and technical requirements for large and highly complex projects. Identifies interdependencies across projects in support of specific business strategies. Works with the Project Manager to identify and manage risks, issues and dependencies. Resolves questions related to requirements or process. Delivers the required documentation during each stage of the project. Provides input into the RFI and RFP for third party/hardware/software selection, and assists in the assessment of responses against requirements. Basic Qualifications: Expert experience designing data, reporting, and analytic solutions with demonstrated exposure to AWS, Hadoop, Spark, Hive and Kafka and languages such as Python or JAVA Experience with Machine Learning implementations Demonstrated ability to become an established and trusted advisor with business and technology audiences. Proven ability to leverage and integrate technology components into an overall solution architecture in support of business requirements. Demonstrate knowledge of Data Architecture, Advanced Analytics, and Data Science implementations. Demonstrated experience across all phases of the information management project lifecycle – from requirements to implementation and data collection to end-user consumption Experience presenting technical concepts and solutions to business and technology stakeholders. Proven ability to drive and influence change through innovation & process improvement. Executive-level written and verbal communication skills. Required Education: Bachelor's Degree in Computer Science, Information Technology, or related field

Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Walt Disney Parks and Resorts (WDPR). CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Digital & Travel Operations Analytics (DTOA) team provides analysis across the primary modes used by Guests/clients for vacation discover, planning, transacting, and management to enable decision making and optimization. The Omni-Channel Analyst is a key contributor to the DTOA Analytics team. He/she will have the opportunity to work with large data sets and cloud environment tools, and become a subject matter expert with data and source systems used within many lines of business supported by CIMA. In order to succeed in the role, the Omni-Channel Analyst must possess a passion for data, quality assurance, and analysis as this role will support partners and clients with data architecture, queries, and processes to enable more efficient and consistent reporting and analysis in the organization. In order to excel in the role, the Omni-Channel Analyst must further the analytical sophistication of the team. The position reports to the Data Strategy Manager of Omni-Channel Analytics, and does not have direct reports. Responsibilities: The Omni-Channel Analyst’s key responsibilities include, but are not limited to, the following: Data Strategy / Architecture Work with business partners to determine needs and requirements Identify and document data requirements to support both ongoing and ad hoc analysis Learn new data sets from various lines of business, to develop an expertise in those data sets Partner with the Data Services team to manage new data requests, document and automate data processes, and apply business logic to source data. Data Analysis and Insights QA data to ensure accuracy Analyze and mine data to find opportunities in time allotted Undertake proactive and reactive ad-hoc requests as needed Make business recommendations based on the data findings Drive more efficient and sophisticated analytical insights Data Delivery / Distribution Develop efficient and value added queries / analyst tables for ongoing and adhoc analysis Convey and highlight recommendations to ‘tell the story’ with data Ensure partners understand the data / tables / processes Basic Qualifications: 2+ years of relational database experience 2+ years of analytical experience Ability to excel in a fast-paced, complex, and ambiguous business environment Ability to deliver work on-time Team player mentality “Get stuff done” approach Attentiveness to detail Desire to learn and grow with an organization Proficiency in SQL, R, and/or Python programming languages Proficiency in Microsoft Office suite Proficiency with business intelligence tools such as Tableau Preferred Qualifications: 3+ years of relational database experience 3+ years of analytical experience Ability to apply statistical rigor to analyses Knowledge of “big data” environments and tools Experience with digital and contact center data and analytics Experience with hospitality data and analytics Experience with data warehouse platforms such as My SQL, SQL Server, Teradata Experience with text mining and natural language processing Interest in machine learning and artificial intelligence Required Education: Bachelor’s degree in analytical/quantitative field – e.g. statistics, economics, mathematics, marketing analytics, engineering, etc. Preferred Education: Master’s degree in an analytical/quantitative field or equivalent

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

***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.

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.

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.

Overview Come join Intuit as a Principal Machine Learning Engineer! Responsibilities In this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics.  You can expect to... Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”. Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models. Partner with data scientists to understand, implement, refine and design machine learning and other algorithms. Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models. Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders. Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver. Qualifications BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience. Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering). Understand machine learning principles (training, validation, etc.) Knowledge of data query and data processing tools (i.e. SQL) Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning). Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code. Mathematics fundamentals: linear algebra, calculus, probability Preferred Additional Qualifications: Interest in reading academic papers and trying to implement state-of-the-art experimental systems Experience using deep learning architectures Experience deploying highly scalable software supporting millions or more users Experience with GPU acceleration (i.e. CUDA and cuDNN) Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP) Experience with NLP and NLU 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.

Overview The QuickBooks Capital team is on a mission to transform small business lending. Imagine a world where QuickBooks customers can access funding in hours whenever they need it. And then imagine a world where we help small businesses make the right decision about when to take funding, how much to take, and what type. That’s the future state we’re working to make a reality. QuickBooks is better positioned to solve this customer pain point than any other player in the market and we are assembling a world class team to build this business. If you are passionate about innovation, solving tough customer challenges, and building a start-up from the ground up, then come join our team! Responsibilities This role teams up with our credit strategy and data engineering teams closely to develop innovative credit models for our QuickBooks Financing products. Use big data technology to mine massive scale and unstructured data to formulate innovative solutions to build new features and credit models Build credit related models on customer segmentations, underwriting decisions and pricing by leveraging statistical algorithms (such as clustering time series analysis) and exploring cutting edge machine learning methods and tools (such as TensorFlow) Develop solutions to improve data quality and usability, provide analysis on different level of data aggregations, and make judgmental decision on data structure and feature generation process Design, implement, and monitor testing to explore new methodologies for our credit strategies Dive deep into our lending portfolio performance and consolidate insights to present in front of business audience and senior/executive leaders Work cross functionally with other business partners (product development, marketing, data engineering, etc.) to define data requirements and business needs Actively contribute creative ideas to design new financing products for our QuickBooks customers Qualifications MS/PhD in quantitative fields such as Computer Science, Statistics, Operational Research, Industry Engineering, Economics etc. Extensive experience in one or more of the following: SQL/relational database, big data technology (e. g., HDFS, Hive, or Spark). Knowing non-relational database or AWS is a plus Strong statistical and machine learning skills with at least one of the programing tools (e. g, Python, R or other similar ones) Have strong sense and direct experience on processing big data systematically and QA work on the final output Having risk related domain knowledge is a plus, such as credit bureau attributes and scoring, scorecard modeling, pricing, loss forecasting, collections and fraud detections Excellent communication skills and ability to learn fast Confidence in taking ownership and passion in driving changes in a fast-paced working environment 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.

The Boeing Company is seeking a talented and highly motivated artificial intelligence professional with software deployment experience to assist in the design, development, and deployment of intelligent systems, autonomous systems, and other advanced AI systems. A successful candidate will become part of the growing AI organization in Huntsville, Alabama, which is part of Boeing Research & Technology - the central R&D arm of Boeing. The ideal candidate will have experience and interest in machine learning, computer vision, natural language processing, reasoning and inference, planning and scheduling, and knowledge representation. A successful candidate will be able to work in the dynamic and distributed BR&T environment. An employee will typically work on multi-year projects that end with capability transitions including production environments. Project work can be funded by Independent Research and Development, Internal Application Development, Contracted Research and Development, or support to a Boeing Business Unit. An employee will work on a small project team where the knowledge and abilities of each person is important. The work is often simply described and the employee needs to be self-directed to organize and perform the work. Collaboration with others is crucial to successful project performance as is good communication with the project manager, principle investigator, and sponsor. An employee is typically hands-on, likes to figure things out, enjoys learning new things, and is good at applying what they have learned. Responsibilities: The engineer will have extensive experience in software programming and deployment. Programming skills in languages such as Python, Java, C, C++, MATLAB, and R are necessary. The ideal candidate will have knowledge and experience with different AI approaches and techniques. Understand the cost and benefits of deploying algorithms in production environments. The types of algorithmic solutions should span across different types of data ranging from numeric, images, video, and textual (structured or unstructured) collected from domains such as autonomy, data analytics, design, platform performance and operations, robotics, safety, services, and C4ISR. Will have the skills and experience to design, apply, and create new algorithms, methods, and tools for the analysis of data to address project requirements. Evaluate the performance of data analysis algorithms as well as general ability to select and apply algorithms to meet application requirements with respect to scalability. Identify internal and external customers/sponsors, seeking opportunities to solve their analytics problems. Work with customers to help formulate technical requirements, select analytics methods, identify gaps in existing methods, and develop new methods as necessary. Present results to the customers and lead transition of prototype tools to them as well. Boeing is the world's largest aerospace company and leading manufacturer of commercial airplanes and defense, space and security systems. We are engineers and technicians. Skilled scientists and thinkers. Bold innovators and dreamers. Join us, and you can build something better for yourself, for our customers and for the world. Division Engineering Test and Tech Relocation Assistance Available No. Relocation assistance is not a negotiable benefit. Qualifications Basic Qualifications (Required): This position must meet Export Control compliance requirements, therefore a “US Person” as defined by 22 C.F.R. § 120.15 is required. “US Person” includes US Citizen, lawful permanent resident, refugee, or asylee. Experience with applying deep learning for object recognition, scene classification, and scene segmentation. Experience with major deep learning framework such as Keras, Caffe, CNTK, Theano, Torch, and Tensorflow. Experience with deploying deep learning models to production relevant environments. Experience with high level programming languages such as C, C++, C#, Java, and Python. Experience with designing, implementing, training, evaluating, and optimizing algorithms based on state-of-the-art machine learning techniques. Assets (Preferred): Experience with machine learning is highly desirable. Experience with cloud computing. Experience with GPUs. Background in SLAM, 3D reconstruction, and motion planning, path planning. Typical Education / Experience: Degree and typical experience in engineering classification: Bachelor's and 5 or more years' experience, Master's degree with experience or PhD degree with experience. Bachelor, Master or Doctorate of Science degree from an accredited course of study, in engineering, computer science, mathematics, physics or chemistry. ABET is the preferred, although not required, accreditation standard. Experience Level Individual Contributor Job Type Standard Travel Yes, 10 % of the Time Contingent Upon Program Award No Union No Job Code 6J7BP2

The Boeing Company is looking for a talented results driven Senior Data Scientist with applied experience in the fields of Artificial Intelligence and Machine Learning to join our team in Bellevue, WA. The Senior Data Scientist will have the opportunity to lead a small team of highly talented data scientists building next generation enterprise products and services on the Boeing AnalytX platform. As a Senior Data Scientist, you will have the chance to be part of building advanced predictive models and launch them into production, learn and apply modern machine learning techniques and see how AI and ML drives impact on Boeing. At Boeing, we are already making a difference across the industry using collective machine intelligence to deliver strong, rich and safer product experience to our commercial and government customers. We are expanding and growing in all areas in the frontier of aerospace industry. We are working on projects that utilize the latest techniques in Machine Learning (including Deep Learning, Neural network), Natural Language Processing and deep infrastructure. Paramount to success in this role is the ability to determine, define and deploy predictive/prescriptive analytic solutions to identify and perform root cause analysis on adverse trends, by choosing best fit methods, defining algorithms, and validating and deploying models to achieve results. Position Responsibilities Lead a small team of data scientists to build products and services to delight our partners and customers. Analyze highly complex problems and deliver requirements specification, processing, analysis, deliverables and presentations. Work with partners and product managers to identify opportunities for improvements Own Data Science solution direction as well as the tactical execution to deliver results. Address partner pain points by building and deploying AI/ML products and services. Collaborate with customers and stakeholders to foster improvements, build culture, and best practices Coach and mentor team members to deliver cutting edge AI/ML solutions. Work with large and highly complex unstructured and structured data sets to conduct end-to-end analysis including data gathering. Conducting design, algorithm, and code reviews. Boeing is the world's largest aerospace company and leading manufacturer of commercial airplanes and defense, space and security systems. We are engineers and technicians. Skilled scientists and thinkers. Bold innovators and dreamers. Join us to build the best in breed cutting edge AI and ML products in aviation industry for our customers and for the world. Division CIO, Information & Analytics Relocation Assistance Available Yes. Available for eligible candidates, if authorized. Qualifications This position must meet Export Control compliance requirements, therefore a “US Person” as defined by 22 C.F.R. § 120.15 is required. “US Person” includes US Citizen, lawful permanent resident, refugee, or asylee. Basic Qualifications (Required Skills/Experience) Solid innovator who thinks out of the box and solve hard problems while navigating through ambiguity. Background in developing customer-facing experiences, a strong technical acumen, excellent technical project management skills and stellar communication skills. Strong team player and passion to execute Data Science projects with practicality in mind. 5+ years of relevant work experience in data analysis or related field. (e.g., statistician, data analyst, data scientist, computational biologist, physicist, bioinformatician). 5+  years of demonstrated leadership, self-direction, and willingness to coach others, learn new techniques and grow in field the of Data Science. Up-to-date industry and academic knowledge, and experience in building AI and ML models and bring in to full production use. Programming experience in one or more of the following: C, C++, Java, Python, Scala. Experience in Text mining, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining, Deep learning, etc… Experience with machine learning related open source libraries including, but not limited to: Hadoop, Spark, SciKit-Learn, TensorFlow, Theano, Weka etc. Preferred Qualifications (Desired Skills/Experience): Experience training machine learning models in a cloud computing environment such as: Amazon EC2, Google Cloud Platform, Microsoft Azure, etc. Experience with statistical software (e.g., R, Octave, Julia, MATLAB, pandas) and database languages (e.g., SQL). Experience and knowledge in DevOps for Data Science. Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Master’s or Ph.D. in a quantitative discipline (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering). Typical Education/Experience Technical Bachelor’s degree and typically 5 or more years’ related work experience or a Master’s degree with typically 3 or more years’ of related work experience or a PhD degree or an equivalent combination of education and experience. A technical degree is defined as any four-year degree or greater in a mathematic, scientific or information technology field of study. Experience Level Individual Contributor Job Type Standard Travel Yes, 10 % of the Time Contingent Upon Program Award No Union No Job Code BEH7P4