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About the Role

The Identity and Signals team within Ads Data Science and Engineering is crucial for the success of Netflix's ad-supported tier. This role involves developing Identity Science capabilities and extracting signals to optimize ad models, directly impacting ad measurement, targeting, and ranking systems. You will collaborate with Product and Engineering teams to define strategies and use analytical methods to build models, provide recommendations, and drive initiatives in this new space.

Responsibilities

Hire, inspire, and grow high-performing Machine Learning Scientists, Data Scientists, and Analytics Engineers.
Lead strong partnerships with stakeholders from across the business, including product management, engineering, consumer insights, content, and strategy.
Instill an inclusive culture that is innovative and collaborative within your team and the broader organization.
Develop a team charter and roadmap that optimizes team impact and reflects evolving business needs.
Act as an ambassador between Product, Engineering, Strategy, and DSE teams by possessing deep knowledge of the Netflix Ads product.
Ensure the team produces consistently trustworthy and high-quality technical outputs that influence and impact the business.

Requirements

Demonstrated tenacity, resilience, and leadership experience to organize and drive cross-functional projects, overcome challenges, and propose solutions.
Ability to quickly assess and understand complex systems, coupled with high EQ to act as a product ambassador.
Player-coach mentality: capable of developing roadmaps and strategy, executing technical work, and ensuring high-quality team outputs.
Superb communication skills, including cultivating strong working relationships, effective communication, meticulous writing, and outstanding presentations to technical and creative audiences.
Experience building and leading hybrid Data Science and ML teams in the Ads space.
Capacity and passion to translate business objectives into actionable analyses and use analytics to guide product and business with quantitative recommendations.
A passion for TV and movies and defining the future of entertainment.

Skills

Machine Learning
Data Science
Analytics Engineering
Ad Tech
Identity Science
Data Modeling
Quantitative Analysis
Qualitative Analysis
Cross-functional Project Management
Stakeholder Management
Communication
Presentation Skills
Technical Writing

Location

Remote

Work Type

Full-time

Experience Level

Leadership
Senior

Salary/Compensations

$523,000.00 - $920,000.00

Benefits

Health Plans
Mental Health support
401(k) Retirement Plan with employer match
Stock Option Program
Disability Programs
Health Savings and Flexible Spending Accounts
Family-forming benefits
Life and Serious Injury Benefits
Paid leave of absence programs
Flexible time off for salaried employees
35 days annually for paid time off (vacation, holidays, sick) for hourly employees

About the Company

Netflix's mission is to entertain the world.
Netflix is pushing the boundaries of storytelling, global fandom, and making the unimaginable a reality.
Netflix is a dream team obsessed with merging creativity, intuition, and cutting-edge technology.
In April 2022, Netflix introduced a new, more affordable, ad-supported tier.
Netflix is focused on expanding choices for consumers and providing advertisers with a premium TV brand experience.
Netflix's challenge is to scale its ad tech to maximize business impact.
Netflix is a unique culture and environment.

Equal Opportunity

Netflix is an equal-opportunity employer and celebrates diversity, recognizing that diversity builds stronger teams.
Netflix strives to host a meaningful interview experience for all candidates.
Netflix does 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.