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Data Science Manager Jobs in Berkeley, CA (NOW HIRING)

Tatari

Data Science Manager

San Francisco, CA · On-site

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on ...

Tatari

Data Science Manager

San Francisco, CA

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on ...

Hinge Health, Inc

Data Science Manager

San Francisco, CA · On-site

$251K - $376K/yr

We are seeking a Manager, Data Science to lead the data strategy for two critical areas of our business: Treatment Experience and Hinge Select. In this role, you will own the data roadmap for our ...

OpenAI

Data Science Manager, Integrity

San Francisco, CA · On-site

$255K - $490K/yr

About the Role As Data Science Manager, Integrity, you will lead a team of data scientists working across trust & safety, fraud prevention, risk analysis, measurement, and modeling. You'll be ...

Mochi Health

Data Science Manager

San Francisco, CA · On-site

$220K - $250K/yr

Manage the day-to-day execution of the Data team, ensuring projects are well scoped, prioritized, and delivered on time * Set clear goals for team members, track progress against those goals, and ...

DoorDash

Manager, Data Science

San Francisco, CA · On-site

About the Role We're hiring two Data Science Managers, each to lead a pod within Merchant Analytics and help shape high-priority product and business decisions. In this role, you will lead a team of ...

Waymo

Data Scientist

San Francisco, CA · On-site

$170K - $216K/yr

In this hybrid role you will report to a Data Science Manager. You will: * Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of ...

Waymo

Senior Data Scientist

San Francisco, CA · On-site

$204K - $259K/yr

In this hybrid role you will report to a data science manager. You will: * Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of ...

Whatnot

Manager, Data Science

San Francisco, CA · On-site

$221K - $320K/yr

Role We're looking for a Manager, Data Science to lead a high-impact team working on core marketplace problems. In this role, you'll own measurement, experimentation, and analytical strategy across ...

Brigit

Director of Data Science

San Francisco, CA · On-site

$225K - $250K/yr

Managing and growing a team of data scientists focused on modeling key business problems. * Mentoring and guiding team members as they build out quantitative models in python using industry-standard ...

Figma

Manager, Data Science - AI Product

San Francisco, CA · On-site

$235K - $348K/yr

Lead, support, and grow a team of data scientists and data science managers with varied strengths and expertise focused on product strategy, internal tooling, and Impact measurement * Champion data ...

Five9

Vice President, Data Science

San Ramon, CA

The data science team is very much applied - their work directly makes its way into real products ... You are expected to also be hands on, not just a manger, and be directly responsible for some ...

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All JobsData Science JobsData Science Manager JobsData Science Manager Jobs in Berkeley, CA

Data Science Manager information

See Berkeley, CA salary details

$38K

$118.9K

$210.6K

How much do data science manager jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data science manager in Berkeley, CA is $118,948.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,800.00 and $153,700.00 per year, depending on experience, location, and employer.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

Is 40 too late for data science?

Age is not a barrier to becoming a data science manager; many professionals transition into data science roles later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like programming, statistics, and machine learning. Employers value diverse backgrounds and practical expertise regardless of age.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this principle to focus on the most impactful features, models, or data subsets to improve efficiency and outcomes in projects.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

How much do data scientist managers make?

Data Science Managers typically earn between $110,000 and $160,000 annually, with salaries varying based on experience, location, and company size. They often oversee teams of data scientists, coordinate projects, and require strong skills in analytics tools and leadership. Senior roles or those in high-cost areas can offer higher compensation.

What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the most commonly searched types of Data Science jobs in Berkeley, CA? The most popular types of Data Science jobs in Berkeley, CA are:
What are popular job titles related to Data Science Manager jobs in Berkeley, CA? For Data Science Manager jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Data Science Manager jobs in Berkeley, CA look for? The top searched job categories for Data Science Manager jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Data Science Manager jobs? Cities near Berkeley, CA with the most Data Science Manager job openings:
Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Berkeley, CA as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $118,948 per year, or $57.2 per hour.
Data Science Manager

Data Science Manager

Tatari

San Francisco, CA • On-site

$160K - $220K/yr

Full-time

Medical, Retirement, PTO

Posted 25 days ago

Job description

Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world's fastest growing brands including Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V., reach their customers using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience, enabling businesses of any size to advertise on TV.
That approach has earned Tatari broad industry recognition, including being named Best CTV AdTech Platform in the 8th annual MarTech Breakthrough Awards, as well as honors from Digiday (Best Connected TV Platform), AdExchanger (Most Innovative TV Advertising Technology), and Business Insider (Hottest AdTech Companies). Tatari has also been recognized as the Best Place to Work by Inc. Magazine. Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era.
We're looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on customer-facing features powered by machine learning and LLMs. You'll partner closely with Product, Engineering, and Platform teams to deliver fast-moving experiments, shape the roadmap for AI innovation, and lay the foundation for scalable, production-ready AI systems. While this is not an individual contributor (IC) role, we're looking for someone with the technical depth to meaningfully collaborate on modeling and system design, and the management experience to lead a team through execution. You'll play a central role in shaping how AI shows up in our product and how the team behind it grows.
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

At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated.
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