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Internship Data Science R Jobs in Santa Monica, CA

CD&A Data Scientist

Thousand Oaks, CA · On-site

$104 - $141/hr

Strong programming skills in Python, SQL, and/or R * Experience with data science and machine learning-related libraries in Python (Pandas, scikit-learn, TensorFlow, NumPy, PyTorch, MLib, etc)

New

Data Scientist II

Los Angeles, CA · Hybrid

$131K - $172K/yr

... science, applied analytics, or a related quantitative field (industry, academia, or both) * 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data * 2+ years of ...

Data Scientist II

Los Angeles, CA · On-site

$131K - $172K/yr

... science, applied analytics, or a related quantitative field (industry, academia, or both) * 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data * 2+ years of ...

Python Machine Learning, data science, AWS, Statistical Modeling, Semantic Search, Vector DB, GenAI ... Advanced skills in Python and/or R-including development of statistical analysis packages, and use ...

... g., Python or R) * Establish and uphold high standards for data quality, reproducibility ... Five years of relevant experience in data science, analytics, pricing, actuarial, or related ...

Must Have: Python Machine Learning, data science, AWS, Statistical Modeling, Semantic Search ... Advanced skills in Python and/or R-including development of statistical analysis packages, and use ...

Data Scientist

Glendale, CA · On-site

$140 - $190/hr

Bachelor's degree in Statistics, Economics, Computer Science, Engineering, Mathematics, Physics, or ... Advanced skills in Python and/or R -- including development of statistical analysis packages and ...

Showing results 21-40

Internship Data Science R information

See Santa Monica, CA salary details

$13

$25

$47

How much do internship data science r jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for internship data science r in Santa Monica, CA is $25.26, according to ZipRecruiter salary data. Most workers in this role earn between $19.42 and $27.50 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on during an internship data science R?

As a Data Science intern at R, you will typically be involved in projects such as data cleaning, exploratory data analysis, and building predictive models under the guidance of experienced data scientists. You may also contribute to developing data visualizations and presenting insights to stakeholders. Interns often collaborate with cross-functional teams, including software engineers and business analysts, which provides valuable exposure to real-world data challenges and team-based problem solving.

What is the difference between Internship Data Science R vs Data Analyst Intern?

AspectInternship Data Science RData Analyst Intern
Required SkillsProficiency in R, statistical analysis, data visualizationExcel, SQL, basic statistical knowledge
Work EnvironmentData science teams, research projects, analytics departmentsBusiness units, marketing, finance, or operations teams
Industry UsageTech, finance, healthcare, research institutionsRetail, marketing, consulting, finance

Internship Data Science R focuses on applying R programming for statistical analysis and data modeling, often in research or technical environments. Data Analyst Internships emphasize data cleaning, visualization, and reporting using tools like Excel and SQL. Both roles require analytical skills but differ in technical depth and industry focus.

What is an internship data science R?

An Internship Data Science R is a temporary position for students or recent graduates to gain practical experience in data science, with a focus on using the R programming language. Interns typically work under the guidance of experienced data scientists, assisting with data cleaning, analysis, visualization, and possibly building statistical models. This role helps interns develop technical and analytical skills, and provides exposure to real-world data-driven projects, often found in industries like finance, healthcare, or technology.

What are the key skills and qualifications needed to thrive as an internship data science R, and why are they important?

To thrive as an Internship Data Science R, you need a solid grounding in statistics, data analysis, and programming with R, typically supported by coursework or a degree in a quantitative field. Familiarity with R packages (like tidyverse, ggplot2), data visualization tools, and version control systems such as Git is often required. Strong problem-solving skills, attention to detail, and effective communication help interns translate data insights into actionable recommendations. These abilities are crucial for supporting data-driven decision-making and contributing meaningfully to project teams in a professional environment.
What cities near Santa Monica, CA are hiring for Internship Data Science R jobs? Cities near Santa Monica, CA with the most Internship Data Science R job openings:

CD&A Data Scientist

Socket.dev

Thousand Oaks, CA • On-site

$104 - $141/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 2 days ago

New


Job description

Career Category

Scientific

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.

Data Scientist (CD&A) What you will do

Let's do this. Let's change the world. In this vital role as part of the Decision Sciences team in Commercial Data & Analytics, the Associate Data Scientist will collaborate with business partners including commercial insights and analytics, brand teams, sales operations, data teams, external vendor partners, media agencies, service owners, and IS partners to create solutions and insights to solve challenging business problems across multiple therapeutic areas and commercial functions. This individual will apply their deep technical expertise to manipulate large messy datasets, write high-quality code, and adapt complicated machine learning models to the problems at-hand.

In addition to strategic knowledge of advanced analytics and data science, this individual is a strong storyteller and will distill complicated technical work to understandable and actionable outputs.

Specific roles and responsibilities could include:

  • Using and developing data science, machine learning, and artificial intelligence capabilities across Amgen's commercial organization.
  • Transforming business, medical, or scientific questions into analytical ones and mapping out solutions, delivery, and impact.
  • Identifying business needs and proposing potential analytical approaches for solutions.
  • Building high-performance algorithms, prototypes, predictive models, and proof of concepts using Python or R with reliable performance, interpretability, and action-ability.
  • Effectively communicating cross-functionally with stakeholders to develop appropriate methodology to answer specific business questions.
  • Helping further build the team, including by contributing ideas and standard methodologies and keeping abreast of developments in industry and academia.
  • Communicating effectively and influencing a diverse set of technical, scientific, medical, and business constituents at the functional and executive levels.
  • Creating powerful stories in PowerPoint, with knowledge of MS Office Suite (Excel and PowerPoint).
  • Assuring compliance with regulatory, security, and privacy requirements as it relates to data assets.
What we expect of you

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

Basic Qualifications:
  • Master’s degree OR
  • Bachelor's degree and 2 years of experience in a quantitative field OR
  • Associate’s degree and 6 years of experience in a quantitative field OR
  • High school diploma / GED and 8 years of experience in a quantitative field
Preferred Qualifications:
  • Experience in designing, evaluating, and applying a variety of supervised and unsupervised machine learning models to drive business value
  • Strong programming skills in Python, SQL, and/or R
  • Experience with data science and machine learning-related libraries in Python (Pandas, scikit-learn, TensorFlow, NumPy, PyTorch, MLib, etc)
  • Highly motivated with eagerness to learn and adapt to new subjects
  • Technical aptitude with strong logical, problem-solving, and decision-making skills
  • Excellent organization/planning skills and talent for managing many large and complex datasets
  • Ability to collaborate and influence business partners and other IS resources to drive analytic projects end-to-end
  • Ability to communicate analysis in a clear, precise, and impactful manner
  • Familiarity with the modern data stack: distributed computing tools (Spark, Hive, etc.), cloud computing environments, and source code control technologies (e.g. Git)
  • Passion for learning and staying on top of current developments in data science
  • Biotech / Pharma industry experience
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.

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.

Salary Range

103,852.15USD -140,505.85USD

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