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Computer Science Data Science Jobs in Oakland, CA

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

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 ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

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 ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics, or a related technical field. * Experience with Python programming and software development ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics, or a related technical field. * Experience with Python programming and software development ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$9.7K/wk

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics, or a related technical field. * Experience with Python programming and software development ...

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

Computer Science * Data Science & Analytics * Applied AI & Machine Learning * Enterprise Infrastructure * Scalable AI Deployment * Risk and Compliance Frameworks * Tax and Audit The program is ...

Evolver

Applied Data Science Intern

Palo Alto, CA

Computer Science * Data Science & Analytics * Applied AI & Machine Learning * Enterprise Infrastructure * Scalable AI Deployment * Risk and Compliance Frameworks * Tax and Audit The program is ...

DEUNA

Data Science intern

San Francisco, CA · On-site

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 ...

DEUNA

Data Science intern

San Francisco, CA

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 ...

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All JobsComputer Science Data Science JobsComputer Science Data Science Jobs in Oakland, CA

Computer Science Data Science information

See Oakland, CA salary details

$43.1K

$141K

$225.7K

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

As of Jul 28, 2026, the average yearly pay for computer science data science in Oakland, CA is $140,962.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,100.00 and $156,200.00 per year, depending on experience, location, and employer.

Is data science high paying?

Data science roles, including those in computer science and data science, are generally high paying due to the specialized skills required, such as programming, statistical analysis, and machine learning. Salaries tend to be above average compared to many other tech positions and often increase with experience, certifications, and advanced skills in tools like Python, R, and SQL.

Is 40 too late for data science?

Computer Science Data Science is a field where individuals can enter at any age, including 40, as long as they develop relevant skills such as programming, statistics, and machine learning. Many professionals successfully transition into data science later in their careers by gaining certifications, building portfolios, and gaining practical experience.

Can computer science majors get data science jobs?

Yes, computer science majors often qualify for data science roles because they typically have strong programming, statistical, and analytical skills. Success in obtaining a data science job may also depend on experience with tools like Python, R, and SQL, as well as knowledge of machine learning and data visualization. Additional certifications or projects can enhance employability in this field.

Will AI replace data science?

AI is transforming data science by automating tasks like data analysis and model development, but it is unlikely to fully replace data scientists. Instead, data scientists will increasingly focus on interpreting AI outputs, developing new algorithms, and applying domain expertise. Skills in programming, statistical analysis, and machine learning tools remain essential for the role.
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Computer Science Data Science jobs near you
Applied Science / Data Science Leader

Applied Science / Data Science Leader

Attentive

San Francisco, CA

$320K - $380K/yr

Other

Posted 19 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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