tatari

Data Science Manager

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At a Glance

Location
San Francisco, California, United States
Work Regime
hybrid
Experience
2+ years
Compensation
Benefits: Competitive salary ($140,000 - $180,000/annually) Equity compensation
Posted
2026-03-04T17:17:49-05:00

Key Requirements

Required Skills

AWSData SciencePythonSQL

Domain Knowledge

  • Cloud
  • Engineering
  • Media

Benefits & Perks

Time Off

reimbursement Unlimited PTO and sick days Monthly Company

Health Insurance

Equity compensation Health insurance coverage for you and your dependents 40

Requirements

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

Compensation & Benefits

Competitive salary ($140,000 - $180,000/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

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