Senior Data Scientist - Ads Measurement and Analytics (L5) - Remote Opportunity with Netflix's Ads Data Science and Engineering Team
Join the Pioneering Ads Team at Netflix as a Senior Data Scientist
We're excited to announce an exceptional opportunity for a talented Senior Data Scientist to join our Ads Data Science and Engineering (DSE) team at Netflix. As a leader in the streaming industry, we're expanding our offerings with a new ad-supported tier, and we're looking for a skilled professional to help build the foundation of our ads business. This is a unique chance to be part of a rapidly growing team and make a significant impact on the future of entertainment.
About Netflix and Our Ads Business
Netflix is a world-renowned entertainment service with 278 million paid memberships in over 190 countries. We offer a diverse range of TV series, films, and games across various genres and languages. In November 2022, we launched a new lower-priced, ad-supported tier, providing more choices for our members and a premium experience for advertisers. Our Ads DSE team is at the forefront of this initiative, driving business growth through data-driven insights and innovative solutions.
The Role - Ads Data Scientist (L5)
As a Senior Data Scientist on our Ads DSE Measurement Team, you'll play a key leadership role in developing and implementing measurement solutions for our ads business. You'll work closely with cross-functional teams to understand advertiser needs, design and execute experiments, and deliver impactful solutions. Your expertise will help drive business growth, improve ad campaign performance, and enhance the overall advertiser experience.
Key Responsibilities:
Lead research and experimentation efforts to measure ad campaign performance and effectiveness for the Ads Platform, identifying areas for improvement and making data-driven recommendations.
Disambiguate complex problems and propose clear evaluation frameworks and success criteria, ensuring effective solutions that meet business needs.
Cultivate strong partnerships with cross-functional stakeholders, including product, engineering, operations, design, and consumer research teams.
Execute and present robust research and insights, disseminating knowledge and rallying support for innovative ideas.
Foster a collaborative, innovative, and intellectually stimulating environment, encouraging knowledge sharing and growth.
Deliver technically excellent solutions using modeling and ML, data exploration, and strong documentation, with an eye toward impact and contribution to the larger DSE community.
Be a thought leader for Product, Strategy, and Engineering teams in the areas of measurement for Ads, providing guidance and expertise.
Requirements and Qualifications
Essential Qualifications:
Advanced degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field.
Leadership experience with large-scale data, with a proven ability to lead cross-functionally, work independently, and galvanize others.
Strong statistical knowledge and intuition, with experience in experimentation or other product analytics settings.
Strong product knowledge and intuition, with experience in consumer/user interface settings or internally serving technical audiences such as engineers.
Demonstrated ability to communicate and drive product change across a variety of stakeholders.
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.
Preferred Qualifications:
Experience with machine learning, data exploration, and predictive modeling.
Familiarity with cloud-based technologies and data platforms.
Experience working in a fast-paced, dynamic environment with multiple stakeholders.
Strong mentorship and leadership skills, with experience enabling others and building technical communities.
What We Offer
Compensation and Benefits:
We offer a competitive salary package, commensurate with experience, ranging from $100,000 to $720,000. Our compensation structure consists solely of an annual salary, with the option to choose between salary and stock options. We also provide comprehensive benefits, including:
Health Plans and 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, with 35 days annually for paid time off
Work Environment and Culture:
We offer a flexible, hybrid remote arrangement, allowing you to work from anywhere. Our company culture values selflessness, open debate of ideas, and inclusion of diverse perspectives. We're committed to fostering a collaborative, innovative, and intellectually stimulating environment.
Why Join Us?
As a Senior Data Scientist on our Ads DSE team, you'll have the opportunity to:
Make a significant impact on the future of entertainment
Work with a talented team of professionals
Develop and implement innovative solutions
Collaborate with cross-functional stakeholders
Grow professionally and personally in a dynamic environment
How to Apply
If you're excited about this opportunity and have a passion for data science, measurement, and analytics, we encourage you to apply. Please submit your application, including your resume and a cover letter, to:
Apply Now
Don't miss this chance to join our team and make a difference. Apply now and take the first step towards a rewarding new role.
Apply Now
We're excited to announce an exceptional opportunity for a talented Senior Data Scientist to join our Ads Data Science and Engineering (DSE) team at Netflix. As a leader in the streaming industry, we're expanding our offerings with a new ad-supported tier, and we're looking for a skilled professional to help build the foundation of our ads business. This is a unique chance to be part of a rapidly growing team and make a significant impact on the future of entertainment.
About Netflix and Our Ads Business
Netflix is a world-renowned entertainment service with 278 million paid memberships in over 190 countries. We offer a diverse range of TV series, films, and games across various genres and languages. In November 2022, we launched a new lower-priced, ad-supported tier, providing more choices for our members and a premium experience for advertisers. Our Ads DSE team is at the forefront of this initiative, driving business growth through data-driven insights and innovative solutions.
The Role - Ads Data Scientist (L5)
As a Senior Data Scientist on our Ads DSE Measurement Team, you'll play a key leadership role in developing and implementing measurement solutions for our ads business. You'll work closely with cross-functional teams to understand advertiser needs, design and execute experiments, and deliver impactful solutions. Your expertise will help drive business growth, improve ad campaign performance, and enhance the overall advertiser experience.
Key Responsibilities:
Lead research and experimentation efforts to measure ad campaign performance and effectiveness for the Ads Platform, identifying areas for improvement and making data-driven recommendations.
Disambiguate complex problems and propose clear evaluation frameworks and success criteria, ensuring effective solutions that meet business needs.
Cultivate strong partnerships with cross-functional stakeholders, including product, engineering, operations, design, and consumer research teams.
Execute and present robust research and insights, disseminating knowledge and rallying support for innovative ideas.
Foster a collaborative, innovative, and intellectually stimulating environment, encouraging knowledge sharing and growth.
Deliver technically excellent solutions using modeling and ML, data exploration, and strong documentation, with an eye toward impact and contribution to the larger DSE community.
Be a thought leader for Product, Strategy, and Engineering teams in the areas of measurement for Ads, providing guidance and expertise.
Requirements and Qualifications
Essential Qualifications:
Advanced degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field.
Leadership experience with large-scale data, with a proven ability to lead cross-functionally, work independently, and galvanize others.
Strong statistical knowledge and intuition, with experience in experimentation or other product analytics settings.
Strong product knowledge and intuition, with experience in consumer/user interface settings or internally serving technical audiences such as engineers.
Demonstrated ability to communicate and drive product change across a variety of stakeholders.
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.
Preferred Qualifications:
Experience with machine learning, data exploration, and predictive modeling.
Familiarity with cloud-based technologies and data platforms.
Experience working in a fast-paced, dynamic environment with multiple stakeholders.
Strong mentorship and leadership skills, with experience enabling others and building technical communities.
What We Offer
Compensation and Benefits:
We offer a competitive salary package, commensurate with experience, ranging from $100,000 to $720,000. Our compensation structure consists solely of an annual salary, with the option to choose between salary and stock options. We also provide comprehensive benefits, including:
Health Plans and 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, with 35 days annually for paid time off
Work Environment and Culture:
We offer a flexible, hybrid remote arrangement, allowing you to work from anywhere. Our company culture values selflessness, open debate of ideas, and inclusion of diverse perspectives. We're committed to fostering a collaborative, innovative, and intellectually stimulating environment.
Why Join Us?
As a Senior Data Scientist on our Ads DSE team, you'll have the opportunity to:
Make a significant impact on the future of entertainment
Work with a talented team of professionals
Develop and implement innovative solutions
Collaborate with cross-functional stakeholders
Grow professionally and personally in a dynamic environment
How to Apply
If you're excited about this opportunity and have a passion for data science, measurement, and analytics, we encourage you to apply. Please submit your application, including your resume and a cover letter, to:
Apply Now
Don't miss this chance to join our team and make a difference. Apply now and take the first step towards a rewarding new role.
Apply Now