Data Scientist - Messaging Capabilities

Job Description

Data Scientist (L5) - Messaging Capabilities

We are seeking a Senior Data Scientist with strong causal inference and experimentation experience to elevate and evolve the Messaging experience for our members. In this role, you will drive experimentation to optimize our Messaging platform, particularly for driving new business areas (e.g., Live events) and modes of outreach (e.g., WhatsApp). 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 product teams to drive product vision and advance measurement strategy through new metrics, methodological approaches, and deep dive analyses. This role is positioned to expand the core of our Messaging program to better support emerging business initiatives and ensure we are reaching members in a way that is effective and delightful.

In this role, you will:
• Drive product innovation through robust measurement strategies across experimentation, modeling, and analytics to shape how our members experience Netflix Messaging.
• Establish strong partnerships with stakeholders to shape a space's vision, whether by helping determine a product strategy or defining 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 produces trustworthy, high-quality outputs that influence the decisions and direction of member experience.
• Be flexible to changing circumstances - Messaging is an area of rapid innovation, and this role will help shape what that innovation looks like.

To be successful in this role, you have:
• Advanced degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• 5+ years of relevant experience focused on experimentation and causal inference, with a strong fundamental knowledge and practical experience in both.
• Strong statistical knowledge and intuition.
• Strong Quantitative Programming skills in a language such as Python or R, and data manipulation skills in SQL.
• Exceptional oral and written communication skills.
• Passion for driving product vision and innovation strategy by leveraging a broad set of techniques and building strong partnerships 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.
• 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.

Jobcode: Reference SBJ-6kqjjn-18-97-14-90-42 in your application.