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Internship Data Science R Jobs in San Rafael, CA

Proficiency in SQL and Python or R, along with experience using visualization tools such as Tableau ... Data Science, Statistics, or related field. An MBA or equivalent experience is a plus. About Adobe ...

Data Scientist, GTM

San Francisco, CA ยท On-site

$125K - $200K/yr

Technical proficiency with SQL and Python and/or R; experience with causal inference and revenue forecasting is essential. * Experience applying data science to technology, financial services, or ...

Data Scientist

San Francisco, CA ยท On-site +1

$108K - $172K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... Applying advanced statistical techniques and programming languages such as R, Python, or SQL to ...

Bachelor's degree in Statistics, Applied Mathematics, Data Science, Business Analytics, Economics ... Python or R for statistical analysis and data manipulation, Product analysis, including root cause ...

Staff Data Scientist, GTM

San Francisco, CA ยท On-site

$250K - $299K/yr

Technical proficiency with SQL and Python and/or R; experience with causal inference and revenue forecasting is essential. * Experience applying data science in technology, financial services, or ...

... a Data Science or Machine Learning role. * 5+ Years of Experience Proficiency in programming languages such as Python or R. * 5+ Years of Experience with Strong knowledge of machine learning ...

Data Scientist III

Hercules, CA ยท On-site

$137K - $189K/yr

... R and D, Commercial, Operations, and IT to understand business needs and deliver analytical solutions that drive impact. What You Bring: * Education: Bachelor's degree in Data Science, Statistics ...

... Figma's Data Science team and drive how we measure and optimize the impact of our global brand ... Advanced proficiency in SQL and experience using Python, R, or similar tools to conduct analysis ...

... R and D, Commercial, Operations, and IT to understand business needs and deliver analytical solutions that drive impact. What You Bring: * Education: Bachelor's degree in Data Science, Statistics ...

Data Scientist III

Hercules, CA ยท On-site

$137K - $189K/yr

... R and D, Commercial, Operations, and IT to understand business needs and deliver analytical solutions that drive impact. What You Bring: * Education: Bachelor's degree in Data Science, Statistics ...

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Internship Data Science R information

See San Rafael, CA salary details

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

As of Jun 16, 2026, the average hourly pay for internship data science r in San Rafael, CA is $25.09, according to ZipRecruiter salary data. Most workers in this role earn between $19.28 and $27.31 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on during a Data Science Internship at 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 San Rafael, CA are hiring for Internship Data Science R jobs? Cities near San Rafael, CA with the most Internship Data Science R job openings:

Data Scientist Analyst - Secondaries & Primaries

Ardian

San Francisco, CA โ€ข On-site

Full-time

Posted 14 days ago


Job description

The Role
This position offers a unique opportunity to immerse yourself in the fast-paced world of private equity, specifically within the innovative Secondaries and Primaries market. You will gain hands-on experience in applying data science and artificial intelligence techniques to real-world financial problems, contributing directly to the team's success.
Joining the Secondaries & Primaries team at Ardian, the Data Scientist will leverage analytical skills to support investment strategies and decision-making processes. You will be part of an already established fast-growing data science team entirely dedicated to the Secondaries & Primaries activity.
This role involves working closely with the investment team, applying data science methodologies to optimize investment models, analyze market trends, and enhance data-driven insights for the Secondaries and Primaries markets. You will work on both established datasets and the structuring of new data sources, in close collaboration with our data engineering team.
Current projects include, but are not limited to:
  • Portfolio-level analytics: fund and company performance modeling, GP benchmarking through development of proprietary machine learning models
  • AI integration into day-to-day team workflows, including pricing and other deal-related aspects
  • Market intelligence: identifying trends in private equity markets
  • Deal execution: data-driven screening of opportunities, valuation support
  • Risk assessment: scenario modeling for fund investments
  • Support responses to LP analytics and data-driven requests

Core Technical Skills
  • Programming languages & technical stack (SQL, Python, R, GitHub, Databricks, Snowflake)
  • Machine learning & AI (predictive modeling, generative AI, NLP) - Experience in developing AI tools and agentic workflows is advantageous
  • Statistical analysis & econometrics
  • Data visualization tools (e.g., Tableau, Power BI)

Business & Investment Skills
  • Knowledge of the finance and private equity sector, with a desire to understand Secondaries and Primaries market dynamics
  • Financial modeling & valuation
  • Market analysis & competitive intelligence
  • Understanding of investment processes (deal sourcing, due diligence, portfolio monitoring)
  • Strong analytical and problem-solving skills

Soft Skills
  • Highly motivated with the ability to work autonomously and in a team environment.
  • Excellent communication skills with the ability to present complex technical concepts in a clear and concise manner.
  • Stakeholder management (investment teams, investors, other parties)
  • Strategic thinking & problem-solving

Communication Scope:
  • The candidate will be required to liaise directly with various internal team members and should be confident in requesting / providing information to all levels of management
  • The role will require significant interaction with other teams in Europe and from other Ardian offices / geographies

Profile
  • Degree in Computer Science, Statistics, Data Science or another related field
  • 1-3 years' experience. The role will initially focus on supporting senior team members, with increasing ownership over models and analyses as experience grows
  • Familiarity working with international teams and across cultures