1

Data Science Associate Jobs in California (NOW HIRING)

Data Science and Analytics As an Associate Director on the Marketing Science Measurement and Reporting team, you will develop actionable insights through quantitative analysis, innovative thinking ...

Senior, Data Scientist (Marketing Science)

Cupertino, CA ยท On-site

$117K - $234K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We believe we are best equipped to help our associates, customers, and the communities we serve ... Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer ...

Senior, Data Scientist (Marketing Science)

Mountain View, CA ยท On-site

$117K - $234K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We believe we are best equipped to help our associates, customers, and the communities we serve ... Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer ...

Senior, Data Scientist (Marketing Science)

San Jose, CA ยท On-site

$117K - $234K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We believe we are best equipped to help our associates, customers, and the communities we serve ... Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer ...

Senior, Data Scientist (Marketing Science)

Fremont, CA ยท On-site

$117K - $234K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We believe we are best equipped to help our associates, customers, and the communities we serve ... Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer ...

Senior, Data Scientist (Marketing Science)

Milpitas, CA ยท On-site

$117K - $234K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We believe we are best equipped to help our associates, customers, and the communities we serve ... Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer ...

Senior, Data Scientist (Marketing Science)

San Mateo, CA ยท On-site

$117K - $234K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We believe we are best equipped to help our associates, customers, and the communities we serve ... Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer ...

Associate Data Scientist

Los Angeles, CA ยท On-site

$63K - $64K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Summary The Associate Data Scientist supports analytics, forecasting, and machine learning ... Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, Operations ...

Associate Data Scientist

Los Angeles, CA

$63K - $64K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Summary The Associate Data Scientist supports analytics, forecasting, and machine learning ... Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, Operations ...

Senior, Data Scientist (Marketing Science)

Hayward, CA ยท On-site

$117K - $234K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We believe we are best equipped to help our associates, customers, and the communities we serve ... Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer ...

$62K - $63K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Data, AI and Genome Sciences (DAGS) department seeks a talented computational biologist to join our Translational Genome Analytics (TGA) team in Cambridge, MA. In this role, you will lead the ...

(USA) Principal, Data Scientist

Milpitas, CA ยท On-site

$143K - $286K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Closely partner with the Senior Manager and Director of Data Science to drive data science adoption ... Partner and engage with associates in other regions to deliver the best services to customers ...

(USA) Principal, Data Scientist

Sunnyvale, CA ยท On-site

$143K - $286K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Closely partner with the Senior Manager and Director of Data Science to drive data science adoption ... Partner and engage with associates in other regions to deliver the best services to customers ...

(USA) Principal, Data Scientist

Sunnyvale, CA ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Closely partner with the Senior Manager and Director of Data Science to drive data science adoption ... Partner and engage with associates in other regions to deliver the best services to customers ...

(USA) Principal, Data Scientist

Hayward, CA ยท On-site

$143K - $286K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Closely partner with the Senior Manager and Director of Data Science to drive data science adoption ... Partner and engage with associates in other regions to deliver the best services to customers ...

Showing results 41-60

Data Science Associate information

See California salary details

$56.7K

$67.1K

$127.3K

How much do data science associate jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data science associate in California is $67,148.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $58,700.00 per year, depending on experience, location, and employer.

How does a data science associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

What can I do with a data science associate?

A data science associate typically supports data analysis, data cleaning, and model development using tools like Python, R, or SQL. They may assist in preparing reports, visualizations, and insights for decision-making, often working under the guidance of senior data scientists or analysts.

What is a data science associate?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a data science associate?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What are the most commonly searched types of Data Science jobs in California?

The most popular types of Data Science jobs in California are:

What are popular job titles related to Data Science Associate jobs in California?

For Data Science Associate jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Science Associate jobs in California look for?

The top searched job categories for Data Science Associate jobs in California are:

What cities in California are hiring for Data Science Associate jobs?

Cities in California with the most Data Science Associate job openings:

Infographic showing various Data Science Associate job openings in California as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $67,148 per year, or $32.3 per hour.

Data Science and Analytics_05

Omnicom

Los Angeles, CA โ€ข On-site

Full-time

Posted 24 days ago


Job description

Agency:
Omd
Job Function:
Data and Analytics
Job Subfunction:
Data Science and Analytics
Job Description:
As an Associate Director on the Marketing Science Measurement and Reporting team, you will develop actionable insights through quantitative analysis, innovative thinking, and industry knowledge to contribute to both tactical and strategic efforts. You will apply your analytical and technical expertise to evolve campaign deliverables that meet client business needs. This role requires managing both people and processes across multiple Marketing Science functions, reporting directly to the Global Director. We are looking for an emerging leader who is comfortable with media data and translating insights into progress against client marketing goals.
Areas of Responsibility:
Client Relationship Management: Present findings, insights, and methodological approaches to clients across a variety of presentation opportunities.
Team Operations: Connect across planning, strategy, investment, and technology teams to ensure a holistic understanding of data.
Audience Discovery and Strategy: Develop fluency in audience definition, creation, and strategy using multiple data sources.
Measurement and Reporting: Develop measurement strategies and frameworks, set benchmarks based on historical campaign data, oversee reporting, and surface actionable insights.
Data Strategy and Technology: Build advanced dashboards in visualization tools such as PowerBI and Tableau. Contribute to the Data and Technology Test and Learn roadmap, helping prioritize initiatives tied to business impact.
Thought Leadership: Draft POVs and internal thought leadership on emerging technologies, platforms, and data capabilities. Stay current on industry trends through ongoing research and training.
External-Facing Responsibilities:
Build a deep understanding of the client's strategic priorities, key initiatives, and competitive positioning.
Construct clear, compelling, and actionable narratives using sophisticated analytics techniques.
Participate in measurement plan development and execution, including marketing mix modeling and unified measurement approaches.
Ensure timely delivery of all scheduled and ad hoc deliverables.
Recommend and implement research to support consumer insight gathering and strategic planning.
Identify opportunities to continuously improve processes.
Lead, mentor, and develop analysts and managers
Present reports, POVs, and other materials to clients regularly, both remotely and in person.
Contribute to consumer segmentation and audience identification processes.
Design tests to measure the incremental impact of media on business outcomes.
Integrate technology initiatives into the broader learning agenda, ensuring insights ladder up to measurable business outcomes.
Desired Experience:
Experience partnering with mid-level and junior clients on key deliverables.
Prior management of teams of 1 or more Marketing Science staff, including Associate Manager and Senior Analyst levels.
Broad experience with behavioral data and syndicated research data sources, including 1st and 3rd party data solutions.
Solid understanding of offline and online channel KPIs across cross-channel analytics.
Application of statistical methods to data analysis, including marketing mix modeling.
Strong foundation in media strategy, budget setting, and channel selection.
Experience managing or applying advanced analytics and statistical methods using code.
Familiarity with AI/ML concepts and their application to marketing measurement.
Working knowledge of privacy regulations, signal loss challenges (cookie deprecation, ID graphs), and data compliance best practices.
Experience creating documentation and developing repeatable, scalable processes.
Desired Technical Skills:
Strong proficiency in MS Excel and PowerPoint/Keynote
Ad-serving and web analytics tools (DCM, DV360, IAS/Moat, Facebook Advanced Analytics, Google ADH, Google Analytics, Adobe, etc.)
Behavioral data sources (Acxiom, Experian, Clickstream, Location, IRI, LiveRamp)
Syndicated research tools (GfK, MRI, Simmons, Scarborough, IMS, Nielsen, comScore)
Cross-media brand lift research tools (Kantar, Lucid, etc.)
Data visualization tools: Power BI (preferred), Tableau, Datorama, Alteryx
Database design concepts and SQL
Requirements:
5 to 7+ years of experience, preferably in marketing analytics
Demonstrated knowledge in audience-based marketing and data-driven advertising
Strong analytical and critical thinking skills with the ability to clarify and resolve strategic and operational issues related to data
Proven leadership ability and strong client relationship experience
Excellent communication and presentation skills; ability to translate complex data findings into clear, compelling marketing strategies
Familiarity with current data privacy regulations and evolving identity solutions
Ability to train and coach colleagues across areas including analysis, project management, and business writing
Comfortable working in ambiguous situations
Ability to think logically and apply quantitative techniques to problems such as campaign analysis, optimization, data management, and predictive modeling
Bachelor's degree in math, economics, engineering, social sciences, finance, or business/marketing
Agency-side media campaign planning experience is a plusCalifornia: $70,000.00-$135,000.00
Omnicom's policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom's corporate group already require five days of in-office attendance.
Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we're focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us-we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.
Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice
For US Job Seekers:
It is the policy of Omnicom and any of its affiliates to provide equal employment opportunities to all employees and applicants for employment without regard to race, religion, color, ethnic origin, gender, gender identity, age, marital status, veteran status, sexual orientation, disability, or any other basis prohibited by applicable federal, state, or local law. EOE/AA/M/D/V/F.