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Associate Data Scientist Jobs in Oxnard, CA (NOW HIRING)

Process Development Associate Scientist What you will do Let's do this. Let's change the world. In ... Meticulous data collection, documentation using electronic data capture systems * Ability to work ...

Senior Scientist

Moorpark, CA · On-site

$94K - $128K/yr

Mentor junior scientists and research associates in experimental design, data analysis, and cell culture process development. * Collaborate with cross-functional teams including Product Management ...

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Associate Data Scientist information

See Oxnard, CA salary details

$60.9K

$72.1K

$136.6K

How much do associate data scientist jobs pay per year?

As of Aug 30, 2026, the average yearly pay for associate data scientist in Oxnard, CA is $72,052.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $63,000.00 per year, depending on experience, location, and employer.

What does an associate data scientist do?

An Associate Data Scientist supports data-driven decision-making by collecting, cleaning, and analyzing large datasets. They use statistical methods and programming languages like Python or R to identify trends, build predictive models, and generate insights for business problems. Working under the guidance of more experienced data scientists, they also help visualize data and communicate findings to technical and non-technical stakeholders. This entry-level role often involves learning new tools and techniques while contributing to real-world projects.

What does an associate data scientist do?

The duties of an associate data scientist are to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills. Their responsibilities often include assisting in the production of statistical models, tools, and processes. They typically are in the process of pursuing a master’s degree and report to a senior data scientist. The qualifications you need are a bachelor’s degree in statistics, computer science, or a related field as well as experience working with machine-learning and data mining algorithms.

What are some typical projects an associate data scientist might work on, and how do they collaborate with other team members?

As an Associate Data Scientist, you can expect to contribute to a range of projects such as developing predictive models, analyzing large datasets to uncover business insights, and supporting the deployment of machine learning solutions. Collaboration is key; you'll often work closely with data engineers to prepare and process data, as well as with business analysts and product managers to align your findings with organizational goals. Regular meetings, code reviews, and knowledge-sharing sessions are common, providing opportunities to learn from senior data scientists and broaden your technical skills.

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

To thrive as an Associate Data Scientist, you need strong analytical skills, a solid foundation in statistics, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Experience with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and database systems (e.g., SQL) is often required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating data insights into actionable business solutions. These skills and qualities are essential for extracting valuable insights from complex data and driving data-informed decision-making within organizations.

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

AspectAssociate Data ScientistData 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; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data science teams, develops models, and analyzes complex datasetsPrepares reports, visualizes data, and provides insights for decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms focusing on predictive modelingCommon across various industries for business reporting and operational analysis

The Associate Data Scientist typically focuses on building models and advanced analytics, requiring programming skills and statistical knowledge. Data Analysts mainly interpret data through reports and visualizations, often with less emphasis on coding. Both roles are essential in data-driven organizations but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Scientist jobs in Oxnard, CA?

The most popular types of Data Scientist jobs in Oxnard, CA are:

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For Associate Data Scientist jobs in Oxnard, CA, the most frequently searched job titles are:

What job categories do people searching Associate Data Scientist jobs in Oxnard, CA look for?

The top searched job categories for Associate Data Scientist jobs in Oxnard, CA are:

What cities near Oxnard, CA are hiring for Associate Data Scientist jobs?

Cities near Oxnard, CA with the most Associate Data Scientist job openings:

Infographic showing various Associate Data Scientist job openings in Oxnard, CA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $72,052 per year, or $34.6 per hour.

CD&A Data Scientist, Obesity - Associate

Amgen

Thousand Oaks, CA • On-site

$62K - $62K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 9 days ago


Job description

Career CategorySales & Marketing OperationsJob Description
Job Description
Join 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.

CD&A Data Scientist, Obesity - Associate - Hybrid

This role requires three days a week on-site.

The Data Scientist - Associate role within Commercial Data & Analytics (CD&A) is a hands-on analytics position supporting commercial strategy, performance measurement, and decision-making across Amgen's portfolio. Based in Thousand Oaks, this role will contribute to analytical projects that address commercial business questions and work closely with cross-functional partners to help deliver actionable insights.

This position is designed for an early-career data scientist who is eager to develop their technical capabilities, commercial understanding, and ability to communicate analytical findings. The successful candidate will work under the guidance of more experienced team members while taking ownership of clearly defined analyses and deliverables. The role does not have direct reports.

What you will do

Commercial Analytics & Data Science

  • Support the development, maintenance, and enhancement of analytical solutions used in commercial decision-making, including forecasting inputs, patient and market segmentation, and performance analytics

  • Apply statistical and machine-learning techniques to structured commercial and healthcare datasets

  • Conduct exploratory data analysis, data preparation, feature engineering, and model evaluation

  • Assist with interpreting analytical results in the context of business objectives, data quality, and methodological limitations

  • Contribute to the documentation and quality review of analytical methods and outputs

Data & Technical Execution

  • Write and maintain SQL queries to extract, transform, and analyze data from enterprise data sources

  • Use Python and/or R to clean data, conduct analyses, and support the development of analytical models

  • Work within cloud-based analytics environments and use curated enterprise data assets

  • Support repeatable analytical workflows, code documentation, quality control, and model deployment activities

  • Develop dashboards, reports, and visualizations using tools such as Tableau or Spotfire

  • Troubleshoot data and analytical issues with support from senior team members and technology partners

Business Partnership

  • Assist in translating business questions from marketing, forecasting, insights, and leadership teams into defined analytical tasks

  • Prepare clear summaries of analytical findings for technical and non-technical audiences

  • Support ongoing commercial reviews, planning activities, and ad hoc analyses

  • Collaborate with forecasting, insights, data strategy, and technology partners within CD&A

  • Build knowledge of the obesity market, Amgen's commercial business, and the healthcare environment

Ways of Working

  • Manage assigned analytical tasks and timelines in a fast-paced commercial environment

  • Apply structured problem-solving and attention to detail when completing analyses

  • Seek guidance when business requirements, data, or analytical results are unclear

  • Incorporate feedback from team members and business partners to improve analytical outputs

  • Follow applicable data governance, compliance, privacy, and documentation standards

What We Expect of You

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

Basic Qualifications

Bachelor's degree

OR

Associate's degree and 4 years of relevant experience,

OR

High school diploma/GED and 6 years of relevant experience

Preferred Qualifications

  • Working proficiency in Python and/or R

  • Experience using SQL and relational databases

  • Experience with Tableau, Spotfire, or a similar data visualization tool

  • Familiarity with cloud analytics platforms such as Databricks, Azure, or AWS

  • Foundational understanding of statistical modeling and machine-learning concepts

  • Experience preparing, cleaning, and analyzing large or complex datasets

  • Ability to summarize analytical findings clearly and connect them to business questions

  • Experience in pharmaceutical, biotechnology, healthcare, or commercial analytics is preferred

  • Strong attention to detail, curiosity, and willingness to learn

  • Effective collaboration and communication skills in a matrixed organization

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

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