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Data Science Associate Jobs in Santa Monica, CA (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 ...

Associate Data Scientist

Los Angeles, CA · On-site

$63K - $64K/yr

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

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 · On-site

$63K - $64K/yr

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

CD&A Data Scientist

Thousand Oaks, CA · On-site

$104 - $141/hr

Using and developing data science, machine learning, and artificial intelligence capabilities ... Associate's degree and 6 years of experience in a quantitative field OR * High school diploma / GED ...

New

Sr Data Scientist

Thousand Oaks, CA · On-site

$140 - $190/hr

Apply statistical, analytical, and data science methods to identify patterns, generate insights ... Associate's degree and 8 years of Data Scientist experience * High school diploma / GED and 10 ...

... our associates' potential for career advancement. Headquartered in California, East West Bank ... Hands-on experience with data science tools * Problem-solving aptitude * Analytical mind and great ...

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Showing results 1-20

Data Science Associate information

See Santa Monica, CA salary details

$64.5K

$76.4K

$144.8K

How much do data science associate jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data science associate in Santa Monica, CA is $76,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,200.00 and $66,800.00 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 Santa Monica, CA? The most popular types of Data Science jobs in Santa Monica, CA are:
What job categories do people searching Data Science Associate jobs in Santa Monica, CA look for? The top searched job categories for Data Science Associate jobs in Santa Monica, CA are:
What cities near Santa Monica, CA are hiring for Data Science Associate jobs? Cities near Santa Monica, CA with the most Data Science Associate job openings:

Associate Director, Commercial Data Science

Amgen

Thousand Oaks, CA • On-site

$62K - $62K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 27 days ago


Job description

Career CategorySales & Marketing OperationsJob DescriptionJoin Amgen's Mission of Serving Patients

At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.

Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Associate Director, Commercial Data ScienceWhat you will do

Let's do this. Let's change the world. In this vital role the Associate Director, Commercial Data Science is responsible for defining and executing the Commercial AI and Advanced Analytics strategy across Amgen's Commercial Business Units. This leader partners with senior commercial, marketing, medical, digital, and technology stakeholders to identify high-value business opportunities where AI and data science can create measurable impact.

Rather than serving as an individual contributor, the Associate Director leads teams of data scientists and cross-functional partners to develop scalable AI/ML products and enterprise analytics capabilities that improve commercial performance and ultimately help patients receive the therapies they need.

Reporting to the Senior Director, Commercial Data Science, this individual will drive strategy, portfolio prioritization, organizational capability, and business adoption across the Commercial organization.

Flexible Commuter role to Thousand Oaks, CA office. You will work on-site a minimum of 2 days a week.

Strategic Leadership

  • Execute on the Commercial AI and Advanced Analytics roadmap aligned with brand and enterprise priorities.
  • Partner with Commercial leadership to identify high-value opportunities where AI and advanced analytics can accelerate growth, improve customer engagement, and enhance decision making.
  • Prioritize the Commercial AI/ML portfolio based on business value, strategic alignment, organizational readiness, and expected return on investment.
  • Translate evolving business challenges into scalable capabilities and data products.

AI Product & Portfolio Leadership

  • Lead a portfolio of AI, Machine Learning, Generative AI, and advanced analytics initiatives from business strategy through deployment and organizational adoption.
  • Provide technical oversight for predictive modeling, customer targeting, next-best-action, causal inference, optimization, Generative AI, and other advanced analytical capabilities.
  • Guide technical teams in the development of production-grade AI products while ensuring scalability, maintainability, and business impact.
  • Partner with Data Engineering, Digital Technology, and external vendors to operationalize enterprise AI capabilities.

Business Partnership & Executive Influence

  • Build trusted partnerships with Brand, Marketing, Sales, Medical, Market Access, and Digital leaders.
  • Communicate complex analytical concepts to executive audiences in a clear, compelling, and business-focused manner.
  • Influence investment decisions by developing business cases, success metrics, and ROI assessments for AI initiatives.

Organizational Leadership

  • Lead, coach, and develop a high-performing team of data scientists while fostering a culture of innovation, collaboration, continuous learning, and business partnership.
  • Establish technical standards, best practices, and governance for Commercial Data Science.
  • Champion responsible AI principles, model governance, and ethical AI practices across Commercial.
  • Build organizational capability by mentoring future leaders and developing technical talent.

Innovation & Thought Leadership

  • Continuously evaluate emerging AI technologies, industry trends, and external innovations to identify opportunities that create competitive advantage.
  • Represent Commercial Data Science across enterprise initiatives and external collaborations.
  • Foster experimentation while ensuring successful transition from proof-of-concept to enterprise-scale deployment.
What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a leader with these qualifications.

Basic Qualifications:

Doctorate degree and 3 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field

OR

Master's degree and 7 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field

OR

Bachelor's degree and 9 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field

OR

Associate's degree and 12 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field

OR

High school diploma / GED and 14 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field

In addition to meeting at least one of the above requirements, you must have a minimum of 3 years experience directly managing people and/or leadership experience leading teams, projects, programs, or directing the allocation or resources. Your managerial experience may run concurrently with the required technical experience referenced above

Preferred Qualifications:

Leadership

  • 5+ years leading cross-functional AI, analytics, or data science initiatives that delivered measurable business outcomes.
  • 3+ years of people leadership experience, including coaching and developing technical talent.
  • Demonstrated success influencing executive stakeholders and driving organizational change.

AI & Analytics Strategy

  • Deep understanding of AI, Machine Learning, Generative AI, optimization, causal inference, and modern data science methodologies.
  • Experience developing enterprise AI strategies and managing portfolios of analytical products.
  • Proven ability to translate business priorities into scalable analytical solutions.

Commercial Business Acumen

  • Bio/Pharmaceutical commercial experience strongly preferred.
  • Experience supporting Commercial strategy, omnichannel engagement, customer targeting, market access, patient analytics, or field effectiveness.
  • Strong understanding of healthcare data including claims, specialty pharmacy, EMR, and commercial datasets.

Technical Leadership

  • Experience providing technical direction for cloud-based AI platforms including Databricks, AWS, Azure, or similar technologies.
  • Strong understanding of MLOps, AI product lifecycle management, model governance, and production deployment.
  • Previous hands-on programming experience in Python, R, Scala, Java, or similar languages with the ability to guide technical solution design rather than serve as the primary developer.

Communication

  • Strong presence with the ability to simplify complex analytical concepts into strategic business recommendations.
  • Excellent written, verbal, and presentation skills.
  • Demonstrated ability to influence without authority across diverse stakeholder groups.
What you can expect of us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.

The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.

In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:

  • A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
  • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
  • Stock-based long-term incentives
  • Award-winning time-off plans
  • Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.
Apply now and make a lasting impact with the Amgen team.careers.amgen.com

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Application deadline

Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.

Sponsorship

Sponsorship for this role is not guaranteed.

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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Salary Range

194,636.40USD -263,331.60USD