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[Remote-Position] Netflix Content Tagger Remote

Remote, USA Full-time Posted 2025-04-26

Shape the future with us at workwarp. We need a Netflix Content Tagger Remote! Whether you're in our Remote hub or working remotely, you'll be a core part of the team. This position requires a strong and diverse skillset in relevant areas to drive success. We believe in rewarding talent. The total rewards package for this role includes a competitive salary.

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The Ads Data Science and Engineering group at Netflix’s venture is to assist construct the muse of the commercials commercial enterprise at Netflix. We behavior analyses and expand analytic tools, and construct predictive fashions and algorithms for the usage of device learning, all with the purpose of making greater picks and pleasure for our members. You’ll work carefully with companion groups to construct workflows, offer guidelines and power achievement on give-up-to-give-up analytics tasks on this 0 -1 space.
We are in search of a Staff Data Scientist who can assist with foundational issues like Experimentation and Valuation withinside the commercials space. This is a possibility to companion with a various variety of cross-practical commercial enterprise companions to find new opportunities, design, execute, and examine experiments, and supply answers which have an enormous commercial enterprise effect and implications for our users. Experimentation strategies are important to the long-time period achievement of our commercials commercial enterprise, and you may be a key chief riding this place for Netflix.
You will assist power improvements thru powerful identity and alertness of analytics, causal inference, experimentation and device learning. This is a high-effect function wherein you'll have a direct effect on how product choices are made.
In this function, you'll:
• Lead the place of Experimentation for Ads Platform, and autonomously perceive and pursue studies with enormous commercial enterprise effect, and make compelling instances for prioritization and useful resource allocation
• Cultivate robust partnerships with cross-practical stakeholders from product, engineering, operations, design, client studies, etc.
• Execute and gift robust studies and insights, disseminate know-how and get others at the back of their thoughts, and foster open surroundings of collaboration, innovation, and highbrow excitement.
• Deliver technically extraordinary answers to the usage of modeling and ML, facts exploration and robust documentation with an eye fixed on effect and contribution to the bigger DSE community.
• Be an idea chief for Product, Strategy and Engineering groups withinside the regions of Experimentation for Ads.
We are searching for:
• Advanced diploma in Statistics, Mathematics, Physics, Economics or associated quantitative field
• Leadership (body of workers level) experience with large-scale facts with the validated capacity to guide cross-functionally, work independently and provoke others
• Strong statistical know-how and intuition - having applied in experimentation or different product analytics settings
• Strong product know-how and intuition - having applied in client/consumer interface settings or internally serving technical audiences together with engineers.
• Demonstrated capacity to speak and power product extrude throughout a whole lot of stakeholders
• Strong SQL abilities and Quantitative Programming abilities in Python or R
• Ability to speak technical and statistical principles definitely and concisely amongst audiences at many specific levels.
• Mentors brainstorm with and allow others, particularly inside your practical place
• Actively builds and fosters technical groups internally (e.g., horizontal forums, seminars, and summits) and externally (e.g., convention participation)
• Exemplary stewardship of Netflix’s way of life and values, mainly in phrases of selflessness and making sure open debate of thoughts and inspiring the inclusion of a whole lot of views no matter seniority
At Netflix, we cautiously don't forget an extensive variety of repayment elements to decide your personality top of the marketplace. We depend on marketplace signs to decide repayment and don't forget your particular job, abilities, and experience to get it right. These issues can motivate your repayment to differ and also will be depending on your location.
The usual marketplace variety for roles on this place of Netflix is typically $390,000 - $900,000.
This marketplace variety is primarily based totally on general repayment (vs. the handiest base salary), which is in step with our repayment philosophy. Netflix is a completely unique way of life and surroundings. Apply Job!

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Join Our Team!

This is a fantastic opportunity to grow your career. If you have the skills and passion we're looking for, please submit your application today.

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