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Data Science Associate Jobs in Los Angeles, 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 ...

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 ...

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Data Science Associate information

See Los Angeles, CA salary details

$62K

$73.3K

$139K

How much do data science associate jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data science associate in Los Angeles, CA is $73,313.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,600.00 and $64,100.00 per year, depending on experience, location, and employer.

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.

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 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 can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to advance into more specialized roles.

What are the most commonly searched types of Data Science jobs in Los Angeles, CA?

The most popular types of Data Science jobs in Los Angeles, CA are:

What are popular job titles related to Data Science Associate jobs in Los Angeles, CA?

For Data Science Associate jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Data Science Associate jobs in Los Angeles, CA look for?

The top searched job categories for Data Science Associate jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Data Science Associate jobs?

Cities near Los Angeles, CA with the most Data Science Associate job openings:

Infographic showing various Data Science Associate job openings in Los Angeles, CA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $73,313 per year, or $35.2 per hour.

Associate Director, Commercial Data Science

Initial Therapeutics, Inc.

Thousand Oaks, CA • On-site

$130 - $180/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted yesterday

New


Job description

Associate Director, Commercial Data Science

In this vital role the Associate Director of Data Science within the Customer Data & Analytics team is accountable for the delivery of key AI/ML projects for the Data Science team within Amgen’s commercial organization. In addition, the Associate Director will lead a team of data scientists to utilize advanced methodologies in AI/ML to craft and deploy bespoke solutions.

This position reports to the Senior Director, Commercial Data Science and will be responsible for the following activities within the CBU and IBBU brands:

What you will do

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

  • Leads execution and delivery for Machine Learning and advanced analytics projects overseeing capabilities for predictive modeling, AI/ML, Gen AI, and other large-scale data modeling projects
  • Prototype and productionize advanced models using probabilistic time-series, deep learning, causal inference, reinforcement learning, agent-based simulation, and generative/agentic techniques
  • Lead Omnichannel media strategy aligning with brand objectives and driving impact
  • Provide day to day guidance for team of data scientists (both Sr and Jr members) in projects ranging from statistical analysis, predictive modeling and Generative AI
  • Develops, coaches, leads, and retains a dynamic, high-performing Data Science team delivering results, and gaining trust with stakeholders
  • Effectively communicates with key stakeholders on the impact, status and success of Data Science capability initiatives
  • Provides Data Science capability through relevant data science certifications and Biopharmaceutical industry expertise and direction to the CD&A organization
  • Maintain an awareness of current research and standard methodologies in the field of data analytics, including best practices in analytics
  • Primary point of contact for Commercial leaders to engage in AI/ML activities
  • Engages and communicates with key stakeholders on the impact, status and success of Data Science capability initiatives
What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The data and decision sciences 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
  • Masters degree and 7 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field
  • Bachelors degree and 9 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field
  • Associates degree and 12 years of experience in statistics, operations research, mathematics, econometrics, business administration or a quantitative field
  • 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
  • Relevant data science experience and Bio/Pharmaceutical industry experience
  • Excellent leadership and management skills, with the ability to manage and develop a team of data scientists and analysts, 3+ years of direct people management experience
  • Experience in AI, Machine Learning, quantitative methods, multivariate statistics, predictive modeling and other analytics frameworks/techniques with 5+ years of experience delivering complex analytical projects
  • Experience in Databricks and AWS (and other cloud technologies)
  • Advanced proficiency and hands on coding experience in Python/R/Scala/Java or any other Object-Oriented Programming language
  • Proficiency working with external claims data to understand patient journeys and conduct relevant analysis for therapeutic teams
  • Comprehensive understanding of the components of setting up data models in git based environment with CI/CD capabilities
  • Ability to cultivate and encourage an environment of openness and transparency in seeking diverse opinions and empower risk-taking in idea generation, idea incubation and/or experimentation
  • Partners with business leaders to deliver high-quality predictions that guide strategic decision making
  • Oral, written and presentation skills to explain complex concepts and controversial findings clearly to a variety of audiences, including senior management
  • Comfortable challenging the status quo and bringing forward innovative solutions
  • Understanding of technology platforms and ability to partner with IS/IT and business leaders both onshore and offshore
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 well support your journey every step of the way.

Benefits
  • 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

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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