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.
160k – 200k/yr
Hybrid6+ YOEEngineering Management
About the role
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
PythonSQLAWSMachine LearningLLMsStatisticsProbabilityMl WorkflowsEmbeddingsRecommender Systems
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