Data Scientist (L5) - Games Product job opportunity at Netflix Inc.

Netflix Inc Data Scientist (L5) - Games Product

Experience: General

Pattern: Remote

Country:

Apply Now

Salary:

Status:

Data & Insights

Copy Link Report

Bachelor's (B.Sc.)

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.We are seeking a Senior Data Scientist with strong causal inference and experimentation experience to elevate and evolve the Games experience for our members. In this role, you will drive experimentation to determine our in-product approach to Games positioning and discovery. Working in a highly collaborative and cross-functional environment, you will be responsible for partnering with our Product and Engineering teams to identify, incubate, and enable product innovations leveraging robust measurement techniques (e.g experimentation, modeling, analytics).As a Data Scientist, you’ll be at the forefront of product innovation. You’ll work with other data scientists, data and analytics engineers, and business teams to drive product vision and advance measurement strategy through new metrics, methodological approaches, and deep dive analyses. Note that you will be jumping in near the very beginning of our Games adventure - this is an exciting time to help us redefine what a Netflix subscription means for our members around the world!In this role, you will:Drive product innovation through robust measurement strategies across experimentation, modeling, and analytics to shape how our members experience Netflix Games.Establish strong partnerships with stakeholders to shape the vision of a space, whether that is by helping determine a product strategy or define new metrics.Develop experimentation and measurement frameworks to increase the velocity of investments and aid complex decision-making.Facilitate ownership and accountability by ensuring that the team is producing trustworthy and high-quality outputs that influence the decisions and direction of member experience.Be flexible to changing circumstances - Netflix Games are evolving rapidly, and this role will help shape what that evolution looks like.To be successful in this role, you have:Advanced degree in Statistics, Mathematics, Computer Science, Economics or related quantitative field.5+ years of relevant experience focused on building and delivering real-world machine learning models with demonstrated impact.Strong statistical knowledge and intuition - ideally utilized in experimentation or other product analytics settings.Strong Quantitative Programming skills in a language such as Python.Exceptional oral and written communication skills.Passion for driving product vision and innovation strategy by leveraging a broad set of techniques and building strong partnership with stakeholders.Strong product sense to balance between addressing stakeholder or test-specific needs and investing in scalable solutions to serve general use cases.Ability to work independently and drive your own projects.EmbodiesNetflix valueswhile bringing a new perspective to continue to improve our culture.Our 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 is 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

Remote

Associate Producer, Narrative Games Applicants are expected to have a solid experience in handling Netflix Games Studio related tasks

Manager, Ads Finance & Strategy - Australia Applicants are expected to have a solid experience in handling Strategy & Analysis related tasks

Manager, Talent Coordinators LATAM Applicants are expected to have a solid experience in handling Manager, Talent Coordinators LATAM related tasks

Manager - Public Policy - Production & Creative Engagement Applicants are expected to have a solid experience in handling Global Affairs related tasks

Software Engineer (L4/L5) - Content, Business Products and Games Platform Engineering Applicants are expected to have a solid experience in handling Engineering related tasks

Manager, Enterprise Security Operations - EMEA Applicants are expected to have a solid experience in handling Enterprise Operations related tasks

Sales Partner - APAC Applicants are expected to have a solid experience in handling Advertising related tasks

Remote

Lead Production Operations Manager, Games Applicants are expected to have a solid experience in handling Netflix Games Studio related tasks

Research Scientist (L4) - Machine Learning and Inference Research, LLM Post-Training Applicants are expected to have a solid experience in handling Data & Insights related tasks

Remote

Principal Product Manager - Games, Social Platform Applicants are expected to have a solid experience in handling Product Management related tasks

Remote

Security Engineer (L4) - Application Security Applicants are expected to have a solid experience in handling Engineering related tasks

B2B Creative Manager, EMEA Applicants are expected to have a solid experience in handling Marketing related tasks

Principal Client Partner (P&G) Applicants are expected to have a solid experience in handling Advertising related tasks

Specialist, Corporate Events Applicants are expected to have a solid experience in handling Marketer related tasks

Recruiter - Korea Applicants are expected to have a solid experience in handling Talent related tasks

Senior Manager, Global Affairs - Japan Applicants are expected to have a solid experience in handling Global Affairs related tasks

Ads Sales Operations Manager Applicants are expected to have a solid experience in handling surveillance related tasks

Senior Product Manager - Games Applicants are expected to have a solid experience in handling Next Games related tasks

HR Business Partner, Games Applicants are expected to have a solid experience in handling Talent related tasks

Remote

Senior Product Designer, Design Systems - Commerce Applicants are expected to have a solid experience in handling Product Design related tasks

Principal Counsel, Content Tech Legal Applicants are expected to have a solid experience in handling Legal related tasks

Sales Partner - Australia Applicants are expected to have a solid experience in handling sales related tasks

Manager, Enterprise Security Operations - EMEA Applicants are expected to have a solid experience in handling Enterprise Security related tasks

Data Scientist (L5) - Games Product job opportunity at Netflix Inc.

Saved Jobs

No Job Saved

Other Ai Matches