πGermany
Staff Data Scientist

Tubi
π΅ $180k-$258k
πRemote - United States
Please let Tubi know you found this job on JobsCollider. Thanks! π
Summary
Join Tubi as a Staff Data Scientist and become a thought leader, driving innovation and solving complex problems across various domains. You will define and lead high-impact data science initiatives, develop novel algorithms and machine learning models, and design and execute sophisticated experiments. This role requires close collaboration with multiple teams, including Engineering, Product, and Executive teams. You will also mentor other data scientists and engineers, and identify emerging trends in data science. The ideal candidate possesses deep technical expertise, an inventive mindset, and the ability to drive change at scale. This is a remote position.
Requirements
- 10+ years of experience in data science, ideally in a consumer technology or media company
- Expertise in at least one of the following domains: econometrics, optimization, statistics, causal inference, machine learning, or reinforcement learning
- Expert proficiency in SQL, Python, and Spark, with hands-on experience managing and analyzing large-scale, event-level data
- Extensive experience designing and analyzing controlled experiments and observational studies
- Proven track record of independently leading projects that deliver measurable impact at scale
- Exceptional ability to communicate complex ideas to technical and non-technical audiences, including executive leadership
- Advanced degree (PhD preferred) in a quantitative field such as Computer Science, Statistics, Economics, Physics, Operations Research, or similar
- Experience in video streaming, entertainment, or ad-supported media
Responsibilities
- Define and lead high-impact data science initiatives that influence long-term company strategy and cross-functional priorities
- Develop novel algorithms and machine learning models in areas such as personalization efficiency, content valuation, and portfolio optimization
- Design, execute, and interpret sophisticated experiments and causal inference studies to measure impact and guide decision-making
- Serve as a technical advisor and mentor to data scientists, engineers, and product leaders; drive best practices in experimentation, modeling, and decision science
- Partner closely with Engineering, Product, Content, Studio, and Executive teams to embed data into every level of decision-making
- Collaborate with Data Engineering and ML Ops to improve data pipelines, feature engineering, and automation across experimentation workflows
- Identify emerging methods, tools, and external trends that could reshape how we use data science across the organization
Benefits
- Annual discretionary bonus
- Long-term incentive plan
- Medical/dental/vision, insurance
- A 401(k) plan
- Paid time off
- Other benefits in accordance with applicable plan documents
- Flexible Time off Policy
- Generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave within the first year of birth, adoption, surrogacy, or foster placement of a child in addition to applicable government leave program(s) and FOXβs short-term disability policy
- Monthly wellness reimbursement
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