Data Science Manager
Leads a team of data scientists building AI/ML features for customer-facing products, partnering with Product and Engineering. Requires Master's, 6+ years data science experience, 2+ years management, and expertise in ML, Python, SQL, and AWS.
About the job
Responsibilities
- Manage and grow a team of data scientists focused on AI/ML product development
- Facilitate the team’s design of algorithms and models to innovate, research, and deliver on product features that drive and expand our business opportunities
- Empower the team to innovate and explore new methodologies and improve upon existing algorithms
- Actively develop strong working relationships across Product, Engineering, and Infrastructure teams to foster alignment, drive shared decision-making, and accelerate delivery of AI-powered features
- Collaborate with partner teams to define scope, translate product requirements into technical approaches, and ensure successful delivery
- Own Data Science prioritization for AI/ML outcomes, allocate resources and manage workload
- Drive execution of AI/ML projects by tracking progress, aligning timelines with stakeholders, and ensuring timely, high-quality delivery
- Assess and mitigate risks to delivery, owning accountability for downstream business impacts
- Promote high-quality experimentation, modeling, and evaluation standards, with an emphasis on reliability and product value
- Develop lightweight but effective team processes to support fast iteration and scalable AI delivery
- Conduct performance reviews, coach team members, and support career growth planning for direct reports
- Contribute to hiring and onboarding efforts for the team
Qualifications
- Master’s degree or equivalent experience in a technical field (e.g., Computer Science, Mathematics, Physics, Data Science, etc.)
- Minimum 2 years of management experience, plus minimum of 6 years of experience in a Data Science role, or a related role in a technology environment
- Strong strategic thinking and project management skills, including priority and dependency management across several large projects with multiple stakeholders
- Strong organizational and leadership skills, able to exercise judgment to make tradeoffs through cost-benefit analysis
- Ability to translate complex concepts to both technical and non-technical stakeholders and drive alignment across Product, Engineering, and Data Science
- Proven ability to lead through ambiguity and move from 0→1 with new features or systems
- Advanced knowledge of statistics and probability, particularly their application in model development
- Intermediate to advanced experience in Data Manipulation Software (e.g. SQL, Python), cloud computing environments (e.g., AWS), and ML workflows or toolkits
Nice to Have
- PhD in a technical field
- Demonstrated experience in leading AI work, ideally including work with LLMs, embeddings, or ranking/recommender systems – with a successful track record of end-to-end implementation
- TV Media Industry or Ad Tech experience a plus
Benefits
- Competitive salary ($160,000 - $200,000/annually)
- Equity compensation
- Health insurance coverage for you and your dependents
- 401K, FSA, and commuter benefits
- $150 monthly spending account
- $1,000 annual continued education benefit
- $500 WFH reimbursement
- Unlimited PTO and sick days
- Monthly Company Wellness Day Off
- Snacks, drinks, and catered lunches at the office
- Team building events
- Hybrid RTO of 2 days per week. THIS IS AN IN-OFFICE POSITION
Skills
Python, SQL, AWS, Machine Learning, LLMs, Statistics, Probability, Ml Workflows, Embeddings, Recommender Systems
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