Data Scientist L4/L5 - Identity DSE job opportunity at Netflix Inc.



bot
Netflix Inc Data Scientist L4/L5 - Identity DSE
Experience: General
Pattern: Remote
apply Apply Now
Salary:
Status:

Data & Insights

Copy Link Report
degreeBachelor's (B.Sc.)
loacation United States Of America, United States Of America
loacation United States ..........United States Of America

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.Our Commerce Data Science team works with a broad range of collaborators and stakeholders, including Product, Engineering, and Finance, to inform commerce strategy and data-informed decision-making through analysis, metrics research, experimentation, causal inference, and modeling, but also through exceptional judgment, partnership, and business acumen.As part of our investment in next-generation commerce and identity capabilities, the Identity team is responsible for building a unified, individual-level identity platform that will serve as the core foundation for future product experiences. This cross-functional, cross-domain effort will reshape how we understand our users and how identity signals are captured, connected, and used across the Netflix ecosystem. Our mission is to deliver a more consistent, accurate, and personalized experience for every individual who interacts with Netflix. We are hiring founding data scientists to help define this space from the ground up and develop the scientific frameworks that will power new commerce experiences at global scale.As a Data Scientist, you will join a team of other stunning Data Scientists, Analytics Engineers, Machine Learning Scientists, and Research Engineers. You will use data to identify opportunities and help shape product decisions.In this role, you will:Effectively identify and leverage experimentation and other analysis techniques, as appropriate, to solve business problemsBe a strategic thought partner with commerce, product, engineering, analysts, data engineering etcInfluence decision-making through data-driven insights and recommendationsProactively identify and perform data exploration to inform future product directionsPrioritize competing demands toward the most impactful itemsDevelop and validate the appropriate metrics to measure success in a given product areaContribute to the excellence of experimentation methodology within the Netflix data science communityLive Netflix values while bringing a new perspective to continue improving our cultureTo be successful in this role, you have:An advanced degree (Masters or PhD) in Statistics, Mathematics, Computer Science, Economics, or a related quantitative fieldStrong statistical skills such as regression and A/B testing experimentationStrong data manipulation and quantitative programming skills in SQL and Python or RExperience designing experiments and familiarity with observational causal inference methodologiesExceptional communication with technical and non-technical audiencesWillingness to learn and rapidly absorb business contextComfort with ambiguity; ability to thrive with minimal oversight and processOur compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170,000 - $720,000.Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.  Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off.Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefitshere.Netflix has a unique culture and environment. Learn morehere.Inclusionis a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want anaccommodation/adjustmentfor a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversitybuilds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.Job is open for no less than 7 days and will be removed when the position is filled.

Other Ai Matches

Performance Technical Director Applicants are expected to have a solid experience in handling Feature Animation related tasks
CFX Technical Assistant Applicants are expected to have a solid experience in handling Feature Animation related tasks
Manager, Content Acquisition, Italy (12 month FTC) Applicants are expected to have a solid experience in handling Content Development & Acquisition related tasks
UI Engineer (L4/L5) - Content and Business Products Engineering Applicants are expected to have a solid experience in handling Engineer related tasks
Senior Manager, Sales Solutions (Programmatic) Applicants are expected to have a solid experience in handling Advertising related tasks
Operations Specialist, Launch Operations Applicants are expected to have a solid experience in handling Specialist related tasks
Product Manager - VFX Solutions Applicants are expected to have a solid experience in handling VFX related tasks
Senior Manager, Sales Operations - EMEA Applicants are expected to have a solid experience in handling Advertising related tasks
Engineering Manager, Content Discovery Applicants are expected to have a solid experience in handling Engineering related tasks
Senior Engineering Manager – Evidence Engineering Applicants are expected to have a solid experience in handling Engineering related tasks
Senior Manager, Operations Systems & Program Strategy - Experiences Applicants are expected to have a solid experience in handling Program Management related tasks
Senior Manager, Art & Print Production Applicants are expected to have a solid experience in handling Marketing related tasks
remote-jobserver Remote
Staff Product Designer, Cloud Infrastructure Applicants are expected to have a solid experience in handling Product Design related tasks
Manager, Ads Marketing - Australia Applicants are expected to have a solid experience in handling Marketing related tasks
Manager, Touring - Attractions Applicants are expected to have a solid experience in handling Consumer Products & Experiences related tasks
Product Manager, Machine Learning Architecture (Ads Platform) Applicants are expected to have a solid experience in handling Product Management related tasks
Creator & Talent Partnerships, Social Marketing - Games Manager Applicants are expected to have a solid experience in handling Marketing related tasks
Director, Product Management, Plans and Pricing Applicants are expected to have a solid experience in handling Product Management related tasks
CFX Technical Assistant Applicants are expected to have a solid experience in handling Feature Animation related tasks
Marketing Production Manager - CEE Applicants are expected to have a solid experience in handling Marketing related tasks
Account Manager - APAC Export Applicants are expected to have a solid experience in handling Advertising related tasks
remote-jobserver Remote
Content Design Manager, Member Experience Applicants are expected to have a solid experience in handling Product Management related tasks
Associate, Finance & Strategy, Marketing Applicants are expected to have a solid experience in handling Strategy & Analysis related tasks