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

Meta

Data Science Director (IC)

Menlo Park, CA

$253K/yr

Inspire and lead a team of data scientists and managers across multiple teams in close collaboration with other Data Science Directors and Managers Minimum Qualifications: * Bachelor's degree in ...

Superhuman

Director, Data Science

San Francisco, CA · On-site

$302K - $415K/yr

... management, and Go, the proactive AI assistant that understands context and delivers help ... The Opportunity As Director, Data Science , you will lead the data science strategy and team for a ...

Tatari

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and Information Science required * 1-2 years of academic and/or professional experience in Data Manipulation ...

Tatari

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and Information Science required * 1-2 years of academic and/or professional experience in Data Manipulation ...

Adobe

Data Science Engineer

San Francisco, CA

$134K - $162K/yr

This positionmaintainslots of exposure to cross functional organizations and access to senior management. Whatyou'lldo A Finance Data Scientist withinAdobe'sCreativity & ProductivityFP&A (Financial ...

Visa

Senior Manager, Data Science

Foster City, CA · On-site

As a Senior Manager Data Scientist, you will be an integral part of a multi-functional development team inventing, designing, building, and testing products that reach a truly global customer base.

Walmart

(USA) Director, Data Science

Hayward, CA · On-site

$169K - $338K/yr

As the Director of Data Science, you will lead the development and deployment of advanced ... Collaborating across functions, the team applies strategic data management and exploratory analysis ...

New

Walmart

(USA) Director, Data Science

San Mateo, CA · On-site

$169K - $338K/yr

As the Director of Data Science, you will lead the development and deployment of advanced ... Collaborating across functions, the team applies strategic data management and exploratory analysis ...

New

Meta

Data Science Director

Menlo Park, CA

$314K/yr

Data Science Director Responsibilities: * Inspire, lead and grow a distributed team of data ... Minimum Qualifications: * 15+ years of work experience managing analytics teams, working ...

Walmart

Senior Director, Data Science

Hayward, CA · On-site

$208K - $416K/yr

As the Senior Director of Data Science for Commerce Foundational Models , you will lead an elite ... It develops and manages shared platforms, intelligence, and decision systems that enhance customer ...

Walmart

Senior Director, Data Science

San Mateo, CA · On-site

$208K - $416K/yr

As the Senior Director of Data Science for Commerce Foundational Models , you will lead an elite ... It develops and manages shared platforms, intelligence, and decision systems that enhance customer ...

Adobe

Senior Manager, GTM Data Science

San Francisco, CA

$142K - $186K/yr

The Opportunity Adobe is looking for a Senior Manager, GTM Data Science to lead a team focused on acquisition, conversion, trials, and gross new ARR growth across the digital customer journey. This ...

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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 Aug 15, 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 does a data science manager do?

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?

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.

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 timely delivery of data-driven solutions.

What skills and qualifications are needed to be a data science manager?

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:

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For Data Science Manager jobs in Berkeley, CA, the most frequently searched job titles are:

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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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $118,948 per year, or $57.2 per hour.

Director Data Science, Measurement

Samba

San Francisco, CA • On-site

Full-time

Re-posted 7 days ago

Job description

Samba is a media intelligence company. We know what the world is watching, reading, and thinking about - in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it's the most interesting data asset on the planet, because it's the most culturally relevant.
Reporting to our VP of Data Science, Samba is looking for a Director of Data Science to lead our Measurement science team - the group responsible for building the statistical frameworks, causal models, and attribution methodologies that power Samba's core measurement products. You will own the science and delivery for a portfolio spanning incrementality measurement, multi-touch attribution, reach and frequency modeling, and audience intelligence, working closely with Product to shape direction and with Engineering to bring solutions to production.
You are a senior technical leader first. You bring deep, hands-on expertise in causal ML, statistical modeling, and measurement science - enough to drive architectural decisions, mentor senior data scientists, and engage credibly in design reviews. You also know how to build and run a high-performing team, communicate clearly to executive and external audiences, and keep complex multi-workstream delivery on track.
WHAT YOU'LL DO
  • Measurement Science Strategy: Partner with Product to define the measurement science roadmap - spanning incrementality, multi-touch attribution, reach/frequency estimation, panel calibration, and audience targeting. Translate business and client priorities into well-scoped quarterly plans and sprint commitments.
  • Technical Leadership: Lead design reviews and architecture decisions across the team. Drive the application of Causal ML - counterfactual modeling, meta-learners, and heterogeneous treatment effect estimation - as the primary framework for measuring ad effectiveness, alongside rigorous command of the broader toolkit: A/B testing, DiD, synthetic control, Bayesian hierarchical models, and panel methodology.
  • Delivery & Execution: Own end-to-end delivery across the team's measurement science portfolio - managing dependencies, removing blockers, and ensuring timely delivery of high-quality work across multiple concurrent workstreams.
  • Scientific Standards & Data Quality: In partnership with Engineering, set and maintain standards for experimental design, model evaluation, reproducibility, and production readiness. Co-own the data quality framework that ensures the robustness and consistency of measurement products used by clients and internal stakeholders.
  • Best Practices & MLOps: In partnership with Engineering, develop and implement best practices for the full DS lifecycle - data management, modeling, evaluation, pipeline orchestration, and production deployment on Databricks/Spark.
  • People & Team Leadership: Lead, mentor, and grow a team of data scientists - owning hiring, performance reviews, career development, and individual goal-setting aligned to Samba's leveling framework. Build a high-accountability culture grounded in technical rigor, psychological safety, and continuous learning.
  • Cross-functional Partnership: Collaborate with Product, Engineering, and Business Development to define and execute data-driven measurement projects. Support Sales and Marketing with technical positioning and clear articulation of Samba's measurement capabilities.
  • Stakeholder Communication: Translate complex causal and statistical findings into clear, actionable insights for technical and non-technical audiences. Represent the team to senior leadership and external stakeholders, and contribute a credible technical voice to client conversations and industry forums.

WHO YOU ARE
  • 8+ years of hands-on data science experience with at least 2-3 years in a people management role, including demonstrated ability to hire, develop, and retain senior data scientists
  • Deep, first-principles expertise in Causal ML - counterfactual modeling, meta-learners, and heterogeneous treatment effect estimation - applied to advertising measurement or media outcomes; familiarity with EconML, DoWhy, or CausalML a plus
  • Solid command of the broader measurement science toolkit: A/B testing, difference-in-differences, synthetic control, propensity scoring, Bayesian hierarchical models, and panel methodology - with clear intuition for when to apply each approach and what its limitations are
  • Strong statistical and ML foundations - regression, classification, experimental design, model evaluation, and the ability to reason clearly about trade-offs between modeling approaches
  • Expert-level Python and SQL; strong PySpark and Databricks experience for large-scale measurement pipelines
  • Track record of owning and delivering complex, multi-workstream data science projects on time in a fast-moving environment
  • Excellent communicator - able to translate causal and statistical reasoning into language that drives product, sales, and executive decisions
  • Bachelor's degree required in Statistics, Computer Science, Mathematics, or a related quantitative field; Master's or PhD strongly preferred
  • Direct experience with TV or digital measurement - ACR/STB data, viewership panels, reach/frequency modeling, or cross-platform measurement (linear + CTV/OTT)
  • Hands-on experience with multi-touch attribution (MTA) or multi-channel attribution modeling - understanding of rule-based limitations and the methodological trade-offs of data-driven alternatives
  • Familiarity with the measurement vendor landscape (Nielsen, Comscore, VideoAmp, iSpot) and industry standards (MRC accreditation, GRP/TRP frameworks)
  • Experience with audience segmentation, identity resolution, or privacy-preserving measurement approaches
  • Track record of publishing research, white papers, or presenting at industry conferences

$200,000 - $250,000 a year
Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.
Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy For residents of the EU , Samba Inc. is the data controller.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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