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Data Science Manager

Tatari

$150,000 - $200,000
Oct 3, 2025
San Francisco, CA, US
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Tatari is looking to revolutionize TV advertising by making it an automated, digital-like experience through sophisticated media buying and proprietary analytics. The company is seeking a Data Science Manager to lead its AI product data science function, focusing on building and managing a team to develop customer-facing features powered by machine learning and LLMs, thereby shaping the future of AI in their product.

Requirements

  • 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
  • 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.
  • 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
  • 6+ years of experience in a Data Science role, or a related role in a technology environment, including 2+ years of management experience
  • Master’s degree or equivalent experience in a technical field (e.g., Computer Science, Mathematics, Physics, Data Science, etc.)

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
  • 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
  • Promote high-quality experimentation, modeling, and evaluation standards, with an emphasis on reliability and product value

Other

  • 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
  • Conduct performance reviews, coach team members, and support career growth planning for direct reports
  • Contribute to hiring and onboarding efforts for the team
  • Hybrid RTO of 2 days per week. THIS IS AN IN-OFFICE POSITION