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Data Scientist (L5) - Games Product Measurement Research

extra holidays - extra parental leave
Remote: 
Full Remote
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Offer summary

Qualifications:

Advanced degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field., 5+ years of experience in designing experiments and conducting causal studies with demonstrated impact., Strong programming skills in Python or similar quantitative languages., Exceptional communication skills with experience managing large stakeholder landscapes..

Key responsabilities:

  • Drive causal inference research to establish robust measurement of game engagement.
  • Develop experimentation and measurement frameworks to aid complex decision-making.
  • Deepen understanding of product behavior among gamers to guide game promotion strategy.
  • Establish partnerships with PMs, data scientists, and engineers to improve product understanding and measurement approaches.

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Netflix Leisure & Entertainment XLarge https://jobs.netflix.com
10001 Employees
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Job description

Netflix is one of the world's leading entertainment services, with 283 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 lead Games research to establish core product metrics and tradeoffs and deepen our understanding of product behavior among gamers. 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 and measurement. You’ll work with other data scientists, research 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. You will be jumping in at a critical time in 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 causal inference research to establish a robust measurement of game engagement within the Netflix ecosystem, informing core product metrics, innovation budgets, and tradeoffs.

  • Develop experimentation and measurement frameworks to increase the velocity of investments and aid complex decision-making, including long-term holdback and meta-analysis approaches.

  • Deepen our understanding of product behavior among gamers to guide strategy for game promotion on our shared product canvases.

  • Establish strong partnerships with PMs, data scientists, and engineers across the company to improve our product understanding and measurement approaches.

  • Be flexible to changing circumstances—Netflix Games and our core Product experience are evolving rapidly, and this role will help shape that joint evolution.

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 designing experiments and conducting causal studies with demonstrated impact. ML depth is a plus.

  • Strong Quantitative Programming skills in a language such as Python.

  • Exceptional oral and written communication skills, with demonstrated experience managing large stakeholder landscapes.

  • Passion for driving product vision and innovation strategy by leveraging a broad set of techniques and building strong partnerships with stakeholders.

  • Ability to work independently and drive your own projects.

  • Embodies Netflix values while 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 Benefits here.

Netflix is a unique culture and environment.  Learn more here

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for 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 diversity builds 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.

Required profile

Experience

Industry :
Leisure & Entertainment
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Communication
  • Problem Solving

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