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

DEUNA

Data Science intern

San Francisco, CA · On-site

Data Science * Statistics * Mathematics * Engineering ... Economics * Physics * Or a related quantitative field. We may use artificial intelligence (AI ...

Socket.dev

Data Science Principal

San Francisco, CA · On-site

$197 - $314/hr

Job Category Data Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with ... Computer Science, Economics, Physics); an advanced degree (MS, PhD) in a quantitative field (e.g.

New

Salesforce

Data Science Principal

San Francisco, CA · On-site

Job Category Data Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with ... Computer Science, Economics, Physics); an advanced degree (MS, PhD) in a quantitative field (e.g.

Salesforce, Inc.

Data Science Principal

San Francisco, CA · On-site

$197 - $345/hr

Job Category Data Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with ... Computer Science, Economics, Physics); an advanced degree (MS, PhD) in a quantitative field (e.g.

Tatari

Data Science Analyst

San Francisco, CA

$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 ...

Brigit

Director of Data Science

San Francisco, CA · On-site

$225K - $250K/yr

At Brigit, our Data Science team has been dramatically scaling its impact. We're aiming to ... A Master's or PhD in a quantitative field (e.g., Statistics, Computer Science, Economics, or ...

Slack Enterprise

Data Science Principal

San Francisco, CA · On-site

$197 - $345/hr

Principal Data Scientist, Platform Monetization To get the best candidate experience, please ... Computer Science, Economics, Physics); an advanced degree (MS, PhD) in a quantitative field (e.g.

New

Faire

Data Science Intern

San Francisco, CA · On-site

$75/hr

Our Data Science team builds and maintains the algorithmic systems - spanning search ... Econometrics, or a related technical discipline. Beyond that, we're looking for team-specific ...

DoorDash

Manager, Data Science

San Francisco, CA · On-site

You have a degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain * You have 6+ years of experience in analytics, data science, or a related quantitative field ...

Adobe

Data Science Engineer

San Francisco, CA · On-site

$134K - $162K/yr

We seek a data scientist to join theCreativity & Productivityfinance team to refine and implement ... Degree ina quantitative fieldlike statistics, economics, applied math, operations research or ...

CYNET SYSTEMS

Data Scientist

San Ramon, CA · On-site

$93 - $98/hr

Provides hands-on execution and implementation of data science models. * Translates business ... Bachelor's Degree in Econometrics, Economics, Engineering, Mathematics, Applied Sciences ...

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Showing results 1-20

All JobsEconomics Data Science JobsEconomics Data Science Jobs in Berkeley, CA

Economics Data Science information

See Berkeley, CA salary details

$50.8K

$174.4K

$246.1K

How much do economics data science jobs pay per year?

As of Aug 30, 2026, the average yearly pay for economics data science in Berkeley, CA is $174,434.00, according to ZipRecruiter salary data. Most workers in this role earn between $145,100.00 and $203,900.00 per year, depending on experience, location, and employer.

What is an economics data science?

An Economics Data Science job combines economic theory, statistical analysis, and machine learning to interpret complex data and inform decision-making. Professionals in this field work with large datasets to analyze market trends, forecast economic conditions, and optimize business strategies. They commonly use programming languages like Python or R and tools such as SQL and econometric models. This role is valuable in industries like finance, government, and tech, where data-driven economic insights are crucial.

What are common projects or responsibilities for professionals in economics data science roles?

Economics Data Science professionals often work on projects that involve economic modeling, market analysis, and forecasting trends using large datasets. Typical responsibilities include gathering and cleaning economic data, developing predictive models, conducting statistical analyses, and translating results into actionable recommendations for business strategy or policy decisions. You may collaborate closely with economists, business analysts, and decision-makers to inform company direction or solve complex real-world problems. This role often involves a mix of independent data exploration and teamwork, offering opportunities to drive impactful results and shape organizational strategy.

What are the key skills and qualifications needed to thrive in economics data science, and why are they important?

To thrive in Economics Data Science, you need a strong background in economics, statistics, and programming (especially Python or R), often backed by a degree in economics, data science, or a related field. Proficiency with data analysis tools such as SQL, machine learning frameworks, and visualization software like Tableau is commonly required, and certifications in data science or analytics are advantageous. Excellent problem-solving abilities, communication skills, and a collaborative mindset help distinguish top performers in this position. These skills are crucial for effectively analyzing economic data, generating actionable insights, and conveying complex findings to both technical and non-technical stakeholders.

What are popular job titles related to Economics Data Science jobs in Berkeley, CA?

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

What job categories do people searching Economics Data Science jobs in Berkeley, CA look for?

The top searched job categories for Economics Data Science jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Economics Data Science jobs?

Cities near Berkeley, CA with the most Economics Data Science job openings:

Economics Data Science jobs near you
Infographic showing various Economics Data Science job openings in Berkeley, CA as of August 2026, with employment types broken down into 60% Full Time, 20% Temporary, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $174,434 per year, or $83.9 per hour.

Applied Science / Data Science Leader

Attentive

San Francisco, CA

$320K - $380K/yr

Full-time

Re-posted 22 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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