Jobs search

Data Scientist (L4) - Content DSE

Netflix • Full-time • Los Angeles, California, United States • $170k - $720k / year • 2w ago

Job Requisition ID

JR30423

Job Posting Date

10-25-2024

Teams

Data Science & Analytics

Work Type

Onsite

Netflix is one of the world’s leading entertainment services with 278 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.

The Role

Our mission to entertain the world is anchored in our content, and data is a crucial component in shaping our comprehensive content strategy. We focus on creating data products that support our content partners in their complex and nuanced decision-making processes. We are a highly collaborative team that partners across Netflix to drive impact.

As a Data Scientist focusing on Netflix Preview Club, you'll be at the forefront of leveraging Netflix's best-in-class audience analytics to support our creative teams.

What You’ll Do:

Collaborate closely with data scientists, consumer insights scientists, engineers, strategy partners, and our content teams to deliver insights through statistical analyses and modeling that drive key decisions.
Develop experimentation and measurement frameworks to increase the velocity of investments and aid complex decision-making.
Be a strategic thought partner with stakeholders to define high-impact analytical problems and innovative ways to solve them with data.
Drive product innovation through robust measurement strategies in experimentation, modeling, and analytics.
Lead the design, analysis, and interpretation of experiments that shape the future of content analytics.

What We’re Looking For:

Advanced degree in Statistics, Mathematics, Behavioral Economics, Mathematical Psychology, Cognitive Science, or related quantitative field.
Strong statistical knowledge and intuition that you have used in experimentation or other product analytics settings.
Strong SQL skills and Quantitative Programming skills in Python or R.
Ability to communicate technical and statistical concepts clearly and concisely among audiences at many different levels.
Self-starter who thrives under a high level of autonomy and who has the ability to adapt to changing circumstances and handle multiple priorities.
Good judgment to balance between addressing stakeholder or test-specific needs and investing in scalable solutions to serve general use cases. Ability to coordinate multiple workstreams, and prioritize multiple experiments.
Exceptional interpersonal and communication skills.
Enthusiastic about Netflix 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.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.