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Computer Science Data Science Jobs in Berkeley, CA

Apply Natural Language Processing and Computer Vision to solve business use cases, * Strong skills in scientific data analyses, modeling, visualization and communication of results. * Knowledge of ...

Apply Natural Language Processing and Computer Vision to solve business use cases, * Strong skills in scientific data analyses, modeling, visualization and communication of results. * Knowledge of ...

Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field. * Proven experience as a Data Scientist or similar role, preferably in a fast-paced environment.

Computer Science * Data Science * Statistics * Mathematics * Engineering * Economics * Physics * Or a related quantitative field. We may use artificial intelligence (AI) tools to support parts of the ...

Computer Science * Data Science * Statistics * Mathematics * Engineering * Economics * Physics * Or a related quantitative field. We may use artificial intelligence (AI) tools to support parts of the ...

PhD in Computer Science/related field/equivalent industry experience. * Extensive Data Science experience preferably in different environments. * Experience in building Data Science product and ...

Master's degree in Computer Science, Data Science, Computational Biology, Bioinformatics, Applied Mathematics, Statistics, Engineering, or a related field; equivalent professional, entrepreneurial ...

Bachelor's or Master's degree in a quantitative field (e.g., mathematics, computer science, data science, statistics, or related discipline). * 3-7 years of experience in data science, analytics, or ...

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Computer Science Data Science information

See Berkeley, CA salary details

$45.9K

$150.3K

$240.6K

How much do computer science data science jobs pay per year?

As of Aug 12, 2026, the average yearly pay for computer science data science in Berkeley, CA is $150,286.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,600.00 and $166,500.00 per year, depending on experience, location, and employer.

Is a computer science degree good for data science?

A computer science degree is highly valuable for data science roles, as it provides a strong foundation in programming, algorithms, and data structures essential for analyzing large datasets. Many data scientists also learn tools like Python, R, and SQL, and may pursue certifications or specialized training to enhance their skills. Having a degree can improve job prospects and understanding of complex technical concepts in data science.

Can a computer science data scientist work as a data scientist?

A computer science data scientist can work as a data scientist because both roles involve analyzing data, developing models, and using programming languages like Python or R. The main difference is that a data scientist often focuses more on data analysis and insights, while a computer science data scientist may have a stronger background in algorithms and software development. Skills in statistical methods, machine learning, and data visualization are essential for both positions.
What are popular job titles related to Computer Science Data Science jobs in Berkeley, CA? For Computer Science Data Science jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Computer Science Data Science jobs in Berkeley, CA look for? The top searched job categories for Computer Science Data Science jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Computer Science Data Science jobs? Cities near Berkeley, CA with the most Computer Science Data Science job openings:
Infographic showing various Computer Science Data Science job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $150,286 per year, or $72.3 per hour.

Applied Science / Data Science Leader

Attentive

San Francisco, CA

$320K - $380K/yr

Full-time

Re-posted 3 days ago


Job description

About the Role

Our Applied Science / Data Science team is a world-class organization focused on using data, experimentation, machine learning, and AI to shape product strategy and accelerate business growth. We partner closely with Product, Engineering, Marketing, Sales, and Customer Success to build intelligent products, optimize customer experiences, and drive measurable business impact.

This will be a leadership role overseeing our applied science / data science team and you will lead a team of high-performing data scientists responsible for solving some of the company's most strategic product and business challenges. You will define the vision for applied data science across multiple product areas, develop innovative analytical and machine learning solutions, and partner with senior leaders to influence company strategy. This is a highly visible leadership role that blends people management, technical excellence, and cross-functional influence.

What You'll Accomplish

  • Lead, mentor, and grow a team of Applied Scientists / Data Scientists, fostering technical excellence and career development
  • Define and execute the applied data science roadmap in partnership with Product, Engineering, and executive stakeholders
  • Drive the development of statistical models, machine learning solutions, experimentation frameworks, and causal inference methodologies to improve product performance and customer outcomes
  • Establish best practices for experimentation, measurement, forecasting, and decision-making across the organization
  • Translate ambiguous business problems into scalable analytical and machine learning solutions
  • Influence product strategy by identifying opportunities through deep analysis of customer behavior, experimentation, and business performance
  • Partner closely with engineering teams to operationalize models and deploy production-ready solutions
  • Present insights and recommendations to senior leadership and executive stakeholders to influence strategic decisions
  • Build a culture of scientific rigor, operational excellence, and continuous innovation across the data science organization

Your Expertise

  • Master's or Ph.D. in Statistics, Computer Science, Economics, Operations Research, Mathematics, Machine Learning, or a related quantitative field; Bachelor's degree with equivalent industry experience also considered
  • 8+ years of experience in Data Science, Machine Learning, Analytics, or related disciplines
  • 3+ years of experience managing and developing high-performing data science teams
  • Deep expertise in experimentation, causal inference, statistical modeling, predictive modeling, and machine learning
  • Experience partnering closely with Product and Engineering organizations to deliver data-driven product improvements
  • Strong proficiency in Python and SQL with experience working on large-scale datasets
  • Excellent communication skills with the ability to influence executive stakeholders through data-driven storytelling
  • Demonstrated success leading cross-functional initiatives from ideation through production

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants:

  • The US base salary range for this full-time position is $320,000 - $380,000 annually + equity + benefits
  • Our salary ranges are determined by role, level and location

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