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+ years work experience implementing and reporting on business key performance indicators. 1+ years 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. Degree in an analytical field such as economics, mathematics, or computer science is desired. Comfortable working in a fast-paced and highly collaborative environment. Required Education: Bachelor of Science Degree About Disney Streaming Services: Disney Streaming Services is responsible for developing and operating The Walt Disney Company’s direct-to-consumer video businesses globally, including the ESPN+ premium sports streaming service; the upcoming Disney subscription video service; and BAMTECH Media, a global leader in direct-to-consumer video streaming products and solutions. Our core mission is to deliver global audiences the freedom to access content on their terms across any connected device, time or location. We serve consumers by bringing the world’s most beloved characters, timeless stories, legendary athletes, and epic sporting events to global audiences through best-in-class direct-to-consumer video services. We strive daily to imaginatively challenge convention with innovative technology that gives consumers the freedom to access content on their terms across any connected device, time or location. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise with the following business segments: media networks, parks and resorts, studio entertainment, consumer products and interactive media. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Streaming Technology, LLC, which is part of a business segment we call Disney Streaming Services. Disney Streaming Technology, LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disney fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changing world.

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

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. Primary Job Responsibilities: Do you want to make an impact on the world’s largest e-commerce website? Are you interested in building performance efficient, high-volume and highly scalable distributed systems? We have a place for you! We are looking for a full stack software engineer to work in Risk product development team, who is responsible for managing seller and buyer risk in eBay market place. As a self-motivated and enthusiastic member of our team, you will work with extremely talented peers in a fun environment building world class risk products. You will work in an agile environment with a focus on problem solving and engineering excellence. Build solutions using your strong background in distributed systems, and large scale database systems. Research, analyze, design, develop and test the solutions that are appropriate for the business and technology strategies. Participate in design discussions, code reviews and project related team meetings. Work with other engineers, Architecture, Product Management, QA, and Operations teams to develop innovative solutions that meet business needs with respect to functionality, performance, scalability, reliability, realistic implementation schedules and adherence to development principles and product goals. Develop technical & domain expertise and apply to solving product challenges. Job Requirements: 4+ years of software design and development experience, solid foundation in computer science with strong competencies in data structures, algorithms, and software design. Excellent knowledge in practicing OOAD, architectural and design patterns, open source platforms, frameworks, technologies and software engineering methodologies. Hands-on experience in Java/J2EE, XML, Web technologies, Web Services, Design Patterns, and OOA/D. Experience in Node.JS, CubeJs, Oracle/ Mongodb (or other NOSQL db’s), REST, Event Source, Web Sockets, HTML5, CSS3, RWD, JQuery is highly desirable. Experience with big data solutions such as Hadoop, MapReduce, Hive, Pig, Kafka, Storm etc. is a major plus. Experience in using source control systems such as Git or Clearcase, issue tracking systems like JIRA. Strong expertise in agile development. Risk domain expertise is a major plus. Demonstrated ability to understand the business and ability to contribute to technology direction that contributes to measurable business improvements. Ability to adapt to changing business priorities and to thrive under pressure. Excellent decision-making, communication and collaboration, skills. Education: Master’s Degree or Equivalent 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 individual is a key analyst and insights contributor on the Account Based Marketing & Insights team. The role will focus on generating new, repeatable and actionable insights for the Adobe Americas business. This position will spearhead and become an expert in Enterprise account engagement score and marketing qualified account measurement efforts. This includes discovering and understanding new and existing data sets, working with engineers to scale repeatable reporting, liaising with marketing and business counterparts, and driving adoption of new measurement frameworks. This role will be responsible for generating strategic insights from the data to help develop test plans, inform audience targeting, and program/media mix and content and creating a feedback loop of performance and strategy from the business partners to the Account Based Marketing Team and recommending strategies to improve Adobe’s understanding of accounts in a scalable way. Responsibilities We’re looking for someone who is comfortable working in a fast-paced environment and can adapt to shifting conditions, priorities, or deadlines, is meticulous and detail oriented, and is a self-starter. Cleaning and analyzing data, then translating it into a relatable and easily understood story that resonates with internal stakeholders and external clients. Building internal relationships with key stakeholders to understand business and sales opportunities and needs, developing plans of execution, and ensuring insights and recommendations are readily available. Recommending methods of data ingestion to ensure findings, strategies, and insights that are important to business counterparts are ingested as part of Account Based Marketing & Insights Gathering data in different SQL and Hadoop databases and analyzing large sets of data to identify new trends and insights. Requirements BS/BA in business, marketing, economics, or similar degree preferred 3-5 years in a business analyst or consulting role, working with large, differentiated data sets within varying industries preferred Experience with account based frameworks, measurement and implementation helpful B2B business experience and background in marketing strategies and tactics preferred Proficient in SQL, with a strong understand of relational databases; passionate about data analysis Love for Excel and data analysis and advanced understanding of SQL and database querying Familiarity with Hadoop and unorganized data structures; Joining disparate data sources together for insights and results Passionate for translating data and trends into meaningful insights and stories Excellent written communication skills Excellent time management and project management skills, including building relationships with internal clients to understand requests and building strategic plans to meet those requests Knowledge and hands-on experience with Adobe products (Adobe Stock, Adobe Analytics) preferred 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.

Adobe is an industry leader in customer intelligence.  We have solutions to empower our enterprises to understand their customers as people – what they want, need, and believe, and to leverage insights to help business to deliver the most delightful customer experiences. Our engineering team is responsible for the Adobe compute on Data Platform which is the foundation for the Adobe Experience Cloud.  Adobe has dozens of petabytes of data to manage and bring value to our customers.  The query engine on Data Platform provides state-of-the-art capabilities for data query,  advanced analytics (segmentation, sessionization, customer journey, stitching and others) and integrated into machine learning services.  We use Big Data and open source technologies to develop various services for Adobe Solutions, Customers and Partners. The scalable Query engine is a key component of the Adobe Data Platform.  We are building a next generation of Query Services that can scale at the petabyte level.  We are looking for strong candidates with expertise in both SQL and no-SQL databases as well as commercial or open source SQL query engines. What you need to succeed: 3+ years as a Lead/Chief Architect working on enterprise software on a distributed platform. Recognized Subject-Matter Expert in database / big data engineering. Plus to be a Committer or PMC Member with the Apache Software Foundation on big data technologies: Apache Spark, Hadoop Stack, Kafka, Drill, Atlas, Impala In depth experience with No-SQL as well as RDBMS Proficiency in data structures and algorithms Cost consciousness around computation and memory requirements Track record of extraordinary achievements in the industry of big data & cloud computing Strong verbal and written communication skills PhD/MS in Computer Science Strong management and leadership skills Proficiency in developing very large distributed systems with low-latency streaming. What you’ll do Lead the technical design, vision and implementation strategy for major systems & components of the Adobe Experience Cloud data platform mainly driving the Query Service vision. Build and own critical parts of the services and deliver to production Ability to articulate the design and code choices to cross functional teams Ability to mentor and guide a high performing team Reviewing and providing feedback on features, technology, architecture, designs, and test strategies Managing projects, mitigating risks & creative problem solving Developing and evolving engineering to optimize team efficiency Partner with other teams across Adobe for achieving common goals 3-5 year as a lead/Chief Architect on distributed platform 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.

As a Sr. Data Engineer, you will be working cross-functionally with business domain experts, analytics, and engineering teams to design and implement our Data Warehouse model. You will be working in our IT Data and Analytics function and have an opportunity to build out this team from scratch with an eye of developing a sound data foundation and processes that will scale with the company’s growth. You will design, implement data pipelines enabling insights from our Product and Corporate Systems for key partners and decision makers at Slack. You would also be responsible for enhancing and maintaining our data warehouse and build modeling in the BI platform. You will do this by partnering with various multi-functional teams like Sales, Finance, Marketing, and fellow IT teams. You will implement a front-end platform while working with the back-end storage systems for reporting and analysis. You will also build and maintain the data ingestion pipeline to keep the metrics flowing into this platform. This is a fun role for problem solvers, who can intuitively anticipate problems and can also look beyond immediate issues. It is for people who take initiative to improve both our software and our development infrastructure. In short, we look for people who take pride in the craft and want to be part of creating and defining the teams operating model and contribution to the company. They will be a self-starter, detail and quality oriented, and passionate about having a huge impact at Slack. If this role has your name written all over it, please contact us with a resume so that we explore further. Responsibilities Translate business requirements into data models that are easy to understand and used by different disciplines across the company. Design, implement and build pipelines that deliver data with measurable quality under the SLA Partner with business domain experts, data analysts and engineering teams to build foundational data sets that are trusted, well understood, aligned with business strategy and enable self-service Be a champion of the overall strategy for data governance, security, privacy, quality and retention that will satisfy business policies and requirements Own and document foundational company metrics with a clear definition and data lineage Identify, document and promote best practices Requirements BS degree in Computer Science or Engineering discipline. 5+ years work experience showing growth as a Data Engineer. Very strong experience in scaling and optimizing schemas, performance tuning SQL and ETL pipelines in the OLTP, OLAP and Data Warehouse environments Deep understanding of relational as well as NoSQL data stores, methods and approaches  (logging, columnar, star and snowflake, dimensional modeling) Proficiency with object-oriented and/or functional programming languages is a big plus (e.g. Java, Scala, Python, Go) Problem solver with excellent interpersonal skills with ability to make sound complex decisions in a fast-paced, technical environment. Ability to work on multiple areas like Data pipeline ETL, Data modeling & design, writing complex SQL queries etc. Capable of planning and executing on both short-term and long-term goals individually and with the team. Passionate about various technologies including but not limited to SQL/No SQL/MPP databases etc. Hands-on experience with Big Data technologies (e.g Hadoop, Hive, Spark) Excellent written and verbal communication and interpersonal skills, able to effectively collaborate with technical and business partners Excellent understanding of trade-offs Demonstrated ability to navigate between big-picture and implementation details Slack is the collaboration hub of choice for companies of all sizes, all across the world. By using Slack, they ensure that the right people are always in the loop, that key information is always at their fingertips, and new team members can get up to speed easily. With Slack, teams are better connected. Launched in February 2014, Slack is the fastest growing business application ever and is used by thousands of teams and millions of users every day. We currently have nine offices worldwide, in San Francisco, Vancouver, Dublin, Melbourne, New York, London, Tokyo, Toronto and Denver. Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack's values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. Come do the best work of your life here at Slack.

We are looking for a forwarding thinking Hadoop Systems Administrator to join our team in Bellevue, Washington.  As a Hadoop Administrator, you will provide systems management and infrastructure support for Hadoop analytics systems which include various open source analytics software on Linux based servers. Review and analyze Hadoop analytics tools for appropriateness, robustness, and available support in a leading-edge hardware & software infrastructure delivery environment. Responsibilities Include: Provide Hadoop systems infrastructure support Provide general systems management and maintenance of software Provide computing system software troubleshooting and problem resolution Provide system monitoring capabilities using approved tools and processes to validate system health Perform root cause analysis Coordinate with peers, end users, focals, program/product managers, and vendors as needed Maintain and improve delivery systems availability, functionality, and performance Develop and maintain procedures used for computing system management 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 CIO, Information & Analytics Relocation Assistance Available No. Relocation assistance is not a negotiable benefit. Qualifications 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' 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. Required 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. Minimum of 1 year work experience with Hadoop systems Minimum of 3 years work experience with Linux Minimum of 5 years experience in the IT industry Experience with Linux operating system Experience with the Hadoop distributed file system (HDFS) and the analytics applications that use it Preferred Qualifications: An understanding of the function and purpose of the Hortonworks Hadoop components. Experience with the Hadoop distributed file system (HDFS) and the analytics applications that use it. Database: Hive, LLAP, Druid. Machine Learning: Zeppelin, Spark, Tensor Flow. Stream Processing: Kafka, Storm, NiFi. Operational Data Store: Phoenix, HBase. Security: Knox, Atlas, Ranger, Kerberos. Workload Management: Yarn, Ambari. Developer tools: Python, Java, Bash. Experience with Linux clustering best practices. Networking knowledge such as: TCP/IP, Active Directory, SSO, Multi-homing. Ability to provide technical solutions to complex problems that require ingenuity and creativity. Good interpersonal, communication, and customer relations skills, reputation as a ‘team player. Ability to work independently, one on one, or in a group setting. Experience in a large and diverse production environment. Positive ‘can-do’ attitude and ability to work in a fast-paced, demanding environment. Knowledge of parallel database systems, a bonus. Experience with both physical & virtual systems a bonus Experience Level Individual Contributor Job Type Standard Travel Yes, 10 % of the Time Contingent Upon Program Award No Union No Job Code BAUGP3

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

Build the foundations for understanding Stripe. Stripe is the best software platform for running an internet business. We handle billions of dollars every year for hundreds of thousands of businesses around the world. One third of Americans bought something on Stripe in the last year. With all this data, the Data Science team is looking for talented engineers to help us manage business critical data leveraged across the entire organization. If you are data curious, excited about designing data pipelines, and motivated by having impact on the business, we want to hear from you. Every record in our data warehouse is vitally important for the businesses that use Stripe, so we’re looking for people with a strong background in data engineering and analytics to help us scale while maintaining correct and complete data. You’ll be working with a variety of internal teams across Engineering and Business to help them solve their data needs. Your work will provide teams with visibility into how Stripe’s products are being used and how we can better serve our customers. You will: Identify data needs for business and product teams, understand their specific requirements for metrics and analysis, and build efficient and scalable data pipelines to enable data-driven decisions across Stripe Design, develop, and own data pipelines and models that power internal analytics for product and business teams Help the Data Science team apply and generalize statistical and econometric models on large datasets Drive the collection of new data and the refinement of existing data sources, develop relationships with production engineering teams to manage our data structures as the Stripe product evolves Develop strong subject matter expertise and manage the SLAs for those data pipelines Some things you might work on: Develop unified user data schemas and tables that provide a complete view of the business across our various products such as Stripe Connect, Atlas, or Sigma Build data pipelines that track our marketing funnel from visits to onboarding to active usage of Stripe Work on our centralized experimentation platform to pipeline experiment metrics and compute descriptive statistics Improve our data visualization tooling and platform at Stripe to help the team create dynamic tools and reporting Our stack spans tools in Scala, Python, R, Javascript, React, SQL You might be a fit for this role if you: 5+ Years of experience in a Data Engineering or Data Science role, with a focus on building data pipelines or conducting data intensive analysis. Have a strong engineering background and are interested in data Have prior experience with writing and debugging data pipelines using a distributed data framework (Hadoop/Spark/Pig etc…) Have an inquisitive nature in diving into data inconsistencies to pinpoint issues Knowledge of a scientific computing language (such as R or Python) and SQL The ability to communicate cross-functionally, derive requirements and architect shared datasets You should include these in your application: A resume and LinkedIn profile

Generate insights and impact from data. Stripe is the best software platform for running an internet business. We handle billions of dollars every year for hundreds of thousands of businesses around the world. One third of Americans bought something on Stripe in the last year. With all this data, we’re looking for talented data scientists to join the Data Science team to help us better understand our users and build better products. If you are data curious, excited about deriving insights from data, and motivated by having impact on the business, we want to hear from you. You will: Work closely with product and business teams to identify important questions and answer them with data Apply statistical and econometric models on large datasets to: i) measure results and outcomes, ii) identify causal impact and attribution, iii) predict future performance of users or products Design, analyze, and interpret the results of experiments Drive the collection of new data and the refinement of existing data sources You’d ideally have: 3+ years experience working with and analyzing large data sets to solve problems A PhD or MS in a quantitative field (e.g., Economics, Statistics, Sciences, Engineering, CS) Expert knowledge of a scientific computing language (such as R or Python) and SQL Strong knowledge of statistics and experimental design The ability to communicate results clearly and a focus on driving impact Nice to haves: Prior experience with data-distributed tools (Scalding, Hadoop, Pig, etc). You should include these in your application: A resume and LinkedIn profile Description of the most interesting data analysis you’ve done, key findings and its impact Link or attachment of code you’ve written related to data analysis