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Data Science Jobs in Oxnard, CA (NOW HIRING)

Data Engineer

Camarillo, CA

$116K - $140K/yr

KBR's work is at the forefront of engineering, logistics, operations, science, program management ... As a Data Engineer, you will be a critical part of the team that is responsible for enabling the ...

Data Engineer

Camarillo, CA ยท On-site

$116K - $140K/yr

KBR's work is at the forefront of engineering, logistics, operations, science, program management ... As a Data Engineer, you will be a critical part of the team that is responsible for enabling the ...

Data Engineer with Security Clearance

Camarillo, CA ยท On-site

$116K - $140K/yr

KBR's work is at the forefront of engineering, logistics, operations, science, program management ... As a Data Engineer, you will be a critical part of the team that is responsible for enabling the ...

Senior Data Engineer

Calabasas, CA ยท On-site

$122K - $151K/yr

Bachelor's degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field required.

Senior Data Engineer

Calabasas, CA ยท On-site

$122K - $151K/yr

Bachelor's degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field required.

Data Architect Senior

Malibu, CA ยท On-site

$145K - $180K/yr

Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or related field. Equivalent experience may be considered. * 5+ years of experience in data architecture ...

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Data Science information

See Oxnard, CA salary details

$39.7K

$130K

$208.1K

How much do data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data science in Oxnard, CA is $129,977.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,300.00 and $144,000.00 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.
What are the most commonly searched types of Data Science jobs in Oxnard, CA? The most popular types of Data Science jobs in Oxnard, CA are:
What are popular job titles related to Data Science jobs in Oxnard, CA? For Data Science jobs in Oxnard, CA, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Oxnard, CA look for? The top searched job categories for Data Science jobs in Oxnard, CA are:
What cities near Oxnard, CA are hiring for Data Science jobs? Cities near Oxnard, CA with the most Data Science job openings:
Infographic showing various Data Science job openings in Oxnard, 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 $129,977 per year, or $62.5 per hour.

Associate Director, Commercial Data Science

Amgen

Thousand Oaks, CA โ€ข On-site

$62K - $62K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 23 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