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Data Science Jobs in Berkeley, CA (NOW HIRING)

Meta

Data Science Director (IC)

Menlo Park, CA

$253K/yr

We are seeking a Data Science Director IC who is passionate about developing, measuring, and strategizing investments in the Monetization Ranking AI space. Our Monetization AI system utilizes ...

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 ground-breaking, predictive techniques for forecastingcustomer retention metrics, units,andARR. This ...

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 ...

Faire

Data Science Intern

San Francisco, CA

$75/hr

Data Science Internship - Fall 2026 Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e ...

Visa

Senior Manager, Data Science

Foster City, CA · On-site

And because it's Visa, our data scientists have access to a treasure trove of structured and un-structured data. At Visa, we believe AI technologies have the potential to radically transform the ...

Meta

Data Science Director

Menlo Park, CA

$314K/yr

Data Science Director Responsibilities: * Inspire, lead and grow a distributed team of data scientists and data science leaders across North America and Europe. * Apply your expertise in quantitative ...

SoFi

Senior Manager, Data Science

San Francisco, CA · On-site

The role The Data Science team is seeking a Senior Manager who will help support growth in our SIPS businesses by improving SoFi's ability to execute with data. This is an exciting role for someone ...

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, high-caliber engineering and data science team dedicated to building Walmart's next-generation ...

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, high-caliber engineering and data science team dedicated to building Walmart's next-generation ...

Figma

Director, Data Science

San Francisco, CA · On-site

$290K - $376K/yr

The AI Product's Data Science org is at the center of the next generation of products at Figma, spanning Make, Figma Agent, Design Systems, and other areas. Data is critical to setting strategy and ...

Sonsoft Inc

Data Science Analytics

San Francisco, CA · On-site

Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate business requirement to analytical model * Communicate directly with business users * Technical Skills ...

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Showing results 21-40

All JobsData Science JobsData Science Jobs in Berkeley, CA

Data Science information

See Berkeley, CA salary details

$45.9K

$150.3K

$240.6K

How much do data science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for 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 data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
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 jobs in Berkeley, CA? For Data Science jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Berkeley, CA look for? The top searched job categories for Data Science jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Data Science jobs? Cities near Berkeley, CA with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Berkeley, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, 4% Hybrid, and 16% Remote job distribution, with an average salary of $150,286 per year, or $72.3 per hour.

Data Science Director (IC)

Meta

Menlo Park, CA

$253K/yr

Full-time

Posted 23 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 242 rated software companies

Job description

We are seeking a Data Science Director IC who is passionate about developing, measuring, and strategizing investments in the Monetization Ranking AI space. Our Monetization AI system utilizes state-of-the-art Machine Learning/AI to ensure every ad impression is meaningful. It is central to the entire ads experience we offer to users and advertisers and generates the vast majority of Meta’s revenue. The mission of this role is to drive data-informed decisions and shape the long-term strategic direction and operational model of the Monetization AI Ranking space in an IC capacity.The Data Science Director will collaborate with Engineering and Product executives across Meta Ads and the Family of Apps Monetization teams. The candidate will have extensive experience in large-scale AI development, measurement, and data product management, and will be enthusiastic about cutting-edge AI advancements. They should have a proven ability to influence executives through their data, framing, technical, and communication skills.
Data Science Director (IC) Responsibilities:
  • Collaborate with Engineering, Product, and cross-functional teams to inform, influence, support, and execute strategy and investment decisions for the Ads AI space
  • Contribute to the long-term technical vision and strategy for analytics methods and metrics to enhance the quality and efficiency of Ads AI at scale
  • Work with engineering and other data scientists to build and improve AI development, automation, experimentation, and measurement methods and metrics, ensuring high-quality throughput and impact
  • Develop an understanding of complex, large-scale AI development, experimentation, and measurement systems, as well as broader industry challenges, to identify current and future risks and opportunities
  • 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 Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 10+ years of experience in analytics and data science, leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
  • Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance
  • Experience framing and communication skills

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Masters or Ph.D. Degree in a quantitative field
  • Experience with predictive modeling, machine learning, and experimentation/causal inference methods
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$253,000/year to $314,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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