数据科学经理 - 核心电视与互动发现
Manager, Data Science - Core TV & Interactive Discovery
在 Netflix,我们的使命是娱乐全世界。我们正在书写下一章——突破叙事、全球粉丝文化的边界,让不可想象成为现实。我们是一支充满激情的团队,痴迷于探索创意、直觉和尖端技术融合时带来的不适感与兴奋感。加入我们,成为未来的一部分。
Member Experience 数据科学与工程团队处于推动 Netflix 核心产品体验创新的最前沿,涵盖流媒体和新业务领域。该团队与产品和工程团队密切合作,通过稳健的测量技术(分析、实验、建模)和可扩展工具,识别、孵化并实现产品创新。
我们正在寻找一位杰出的领导者,带领数据科学家和分析工程师团队,指导我们在电视和互动发现(如搜索)领域的创新方法。此职位需要在复杂的利益相关者环境中高度跨职能协作,涉及产品管理、消费者洞察、工程和设计。该职位的优秀候选人能够利用数据和卓越的判断力影响决策,具备出色的沟通与协作能力,并是一位经验丰富的团队领导者,能够有效引导才华横溢的团队。
在此职位中,你将:
- 领导数据科学和分析工程的技术团队,塑造核心电视和互动发现领域的测量和产品策略,平衡多方利益相关者的需求,以实现持久的业务影响
- 对你所在领域的测量和洞察结果负责,确保团队按时交付可决策的工作,对产品方向和发展产生实质性影响
- 与产品、工程、设计和消费者洞察团队紧密合作,明确正确的问题,揭示权衡点,并建立对会员行为的共同因果理解
- 为团队设定清晰的愿景和方向,确立优先事项和运营规范,以实现强大的思维合作、高质量的执行和持续的影响
- 在日常工作中践行 Netflix 价值观,展现出卓越的判断力、坦诚和责任感
要在这个职位上取得巨大成功,你需要具备:
- 在产品领域领导数据科学、分析或相关技术团队的经验
查看英文原文
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.
The Member Experience Data Science and Engineering team is at the forefront of driving innovations in Netflix’s core product experience within our streaming and new business domains through data. The team collaborates extensively with Product and Engineering teams to identify, incubate and enable product innovations leveraging robust measurement techniques (analytics, experimentation, modeling) and scalable tooling.
We are looking for an exceptional leader to manage a team of data scientists and analytics engineers to guide our approach to innovation on TV and interactive discovery (e.g., Search). This role works highly cross-functionally amidst a complex stakeholder landscape across Product Management, Consumer Insights, Engineering, and Design. A strong candidate for this role is able to inform decision making using data and exceptional judgment, possesses excellent communication and collaboration skills, and is a strong, seasoned people leader who can effectively guide a talented team.
In this role, you will:
- Lead a team of technical roles across data science and analytics engineering to shape the measurement and product strategy for the Core TV and Interactive Discovery spaces, balancing the needs of multiple stakeholders to drive durable business impact
- Own end-to-end outcomes for measurement and insights in your domain, ensuring the team delivers timely, decision-ready work that meaningfully shapes product direction and development
- Partner closely with Product, Engineering, Design, and Consumer Insights to frame the right problems, surface tradeoffs, and build a shared, causal understanding of member behavior
- Set a clear vision and direction for the team, establishing priorities and operating norms that enable strong thought partnership, high-quality execution, and sustained impact
- Act as a role model for Netflix values in day-to-day work and interactions, demonstrating strong judgment, candor, and accountability
To be highly successful in this role, you will have:
- Demonstrated experience leading data science, analytics, or related technical teams in product-focused domains, with accountability for both setting direction and delivering outcomes
- Strong analytical judgment and structured thinking, with the ability to move from messy data and ambiguous problems to clear insights, recommendations, and decisions
- Exceptional communication and collaboration skills, including the ability to influence product and engineering partners through clear framing, tradeoff articulation, and compelling data storytelling
- A track record of operating effectively in ambiguous, fast-moving environments, exercising strong ownership and judgment with minimal process or oversight
- A track record of building high-performing teams by developing senior ICs into trusted thought partners, increasing both their individual impact and the team’s overall leverage
- A Master’s or PhD in a quantitative field, with deep expertise in applied data science and experimentation within consumer-facing products
Generally, 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 $480,000.00 - $750,000.00. This compensation range will vary based on location.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 details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusionis 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.
Originally posted on Himalayas