
About Netflix
The streaming service redefining entertainment worldwide
Key Highlights
- Over 238 million subscribers across 190 countries
- Headquartered in Los Gatos, California
- Valued at over $150 billion
- Offers a vast library of original content and films
Netflix, headquartered in Los Gatos, California, is a leading streaming service with over 238 million subscribers globally. The platform offers a vast library of movies, TV shows, and original content, including award-winning series like 'Stranger Things' and 'The Crown.' With a market valuation exc...
🎁 Benefits
Employees enjoy competitive salaries, stock options, unlimited PTO, and comprehensive health benefits. Netflix also offers a flexible remote work poli...
🌟 Culture
Netflix fosters a culture of freedom and responsibility, encouraging employees to take risks and make decisions independently. The company values tran...
Skills & Technologies
Overview
Netflix is seeking a Lead Data Scientist for their Ad Revenue Optimization team to enhance their advertising systems through advanced optimization algorithms and statistical models. You'll work with Python, SQL, and machine learning techniques to drive significant improvements in Netflix's ad business.
Job Description
Who you are
You have a strong background in data science with at least 5 years of experience in digital advertising marketplace optimization — you've successfully led teams in developing and implementing advanced optimization algorithms that drive revenue growth. Your expertise in statistical modeling and data analysis allows you to dissect complex problems and derive actionable insights that enhance business performance.
You are proficient in Python and SQL, utilizing these tools to build robust data pipelines and perform in-depth analyses — your analytical rigor ensures that your team evaluates ideas effectively and builds workflows that optimize ad revenue. You understand the intricacies of the advertising ecosystem and can collaborate with cross-functional teams to align on overarching business goals.
Your leadership style is visionary and collaborative — you thrive in environments where you can mentor others and foster a culture of innovation. You are committed to diversity and inclusion, ensuring that your team reflects a wide range of perspectives and experiences.
Desirable
Experience with machine learning frameworks and tools is a plus, as is familiarity with cloud platforms like AWS or GCP. You have a keen interest in the latest trends in digital advertising and are always looking for ways to leverage new technologies to improve outcomes.
What you'll do
As the Lead Data Scientist in the Revenue Optimization team, you will spearhead initiatives that enhance Netflix's advertising systems — your role will involve developing and implementing advanced algorithms that optimize pricing, packaging, and inventory management. You will work closely with partner teams to strategize on business goals and ensure that the ad marketplace remains competitive and innovative.
You will lead a team of data scientists and analysts, guiding them in the evaluation of ideas and the dissection of complex problems — your leadership will be crucial in building workflows that drive significant enhancements to our advertising systems. You will also be responsible for presenting findings and recommendations to senior leadership, ensuring that data-driven insights inform strategic decisions.
Your commitment to analytical rigor will help the team evaluate the effectiveness of various strategies and make informed adjustments as needed — you will be at the forefront of driving significant improvements in Netflix's ad business, balancing long-term revenue goals with member experience and advertiser outcomes.
What we offer
Netflix offers a dynamic work environment where innovation is encouraged and rewarded — you will have the opportunity to work with some of the brightest minds in the industry and contribute to a mission that impacts millions of users worldwide. We provide competitive compensation and benefits, along with a commitment to your professional growth and development.
Join us in shaping the future of entertainment and advertising — your contributions will play a vital role in enhancing the experiences of our members and advertisers alike. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.
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