Data Science Manager

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 - $220,000/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