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R Data Scientist Assistant Jobs (NOW HIRING)

Senior Data Scientist

Mountain View, CA · On-site +1

$213K - $263K/yr

Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: * PhD in a quantitative field * A demonstrated track record of independently driving data science projects to ...

Data Scientist

Mountain View, CA · On-site

$175K - $215K/yr

Waymo data scientists work hand-in-hand with engineering teams at each stage of the software ... Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: * PhD in a ...

Data Scientist

Mountain View, CA · Hybrid

$175K - $215K/yr

Waymo data scientists work hand-in-hand with engineering teams at each stage of the software ... Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: * PhD in a ...

Data Scientist

Mountain View, CA · Hybrid

$175K - $215K/yr

Waymo data scientists work hand-in-hand with engineering teams at each stage of the software ... Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: * PhD in a ...

... complex data, assist the command with development initiatives, and facilitate digital ... Program using R, Python (NumPy, SciPy, Pandas) or similar analytical languages. Perform data ...

Some of our sur accelerators and solution frameworks assist our clients including FIN-CDO (which ... Qualifications Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning Additional ...

Some of our sur accelerators and solution frameworks assist our clients including FIN-CDO (which ... Extremely efficient in Python and R. Extremely efficient in identifying right analytics model ...

Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: * PhD in a quantitative field * A demonstrated track record of independently driving data science projects to ...

... all R&D. The candidate will have direct accountability to build and productionize data science models and AI/ML tools allowing for proactive risk monitoring, pattern detection and predictive ...

... complex data, assist the command with development initiatives, and facilitate digital ... Program using R, Python (NumPy, SciPy, Pandas) or similar analytical languages. • Perform data ...

The ideal candidate will have strong expertise in data science, including proficiency in Python, SQL, and R programming languages, as well as experience with big data ecosystems, cloud computing, and ...

Data Scientist

Herndon, VA · On-site

$112K - $179K/yr

Utilize major data science languages, such as R and Python. * Perform management and merging of disparate data sources, preferably through R, Python, or SQL. * Perform statistical analysis, and data ...

Utilize major data science languages, such as R and Python. * Perform management and merging of disparate data sources, preferably through R, Python, or SQL. * Perform statistical analysis, and data ...

Strong proficiency in programming languages such as Python or R * Experience with machine learning ... Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or ...

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R Data Scientist Assistant information

See salary details

$46K

$165K

$243.5K

How much do r data scientist assistant jobs pay per year?

As of May 28, 2026, the average yearly pay for r data scientist assistant in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an R Data Scientist Assistant, and why are they important?

To thrive as an R Data Scientist Assistant, you need a solid understanding of statistics, data analysis, and proficiency in the R programming language, often supported by coursework in data science or a related field. Familiarity with tools such as RStudio, data visualization packages like ggplot2, and version control systems like Git is typically expected. Strong attention to detail, critical thinking, and effective communication skills help you interpret data and work collaboratively with teams. These skills are crucial for ensuring accurate data analysis, efficient workflow, and actionable insights for business or research objectives.

What are the typical collaboration dynamics between an R Data Scientist Assistant and senior data scientists or analysts?

As an R Data Scientist Assistant, you will often work closely with senior data scientists and analysts, supporting them by preparing datasets, performing initial data cleaning, and conducting exploratory analyses using R. You may be responsible for creating reproducible scripts, visualizing results, and documenting your workflow. Regular meetings and code reviews are common, providing opportunities to learn best practices and receive feedback. This collaborative environment helps you build technical skills and understand how your contributions fit into larger data-driven projects.

What are R Data Scientist Assistants?

R Data Scientist Assistants are professionals who support data scientists by performing data cleaning, analysis, and visualization tasks using the R programming language. They help prepare datasets, create scripts, generate reports, and may assist in implementing machine learning models. Their role is crucial in ensuring data quality and streamlining the workflow, allowing data scientists to focus on more complex analyses. This position typically requires a strong foundation in statistics, programming in R, and good communication skills.

What is the difference between R Data Scientist Assistant vs Data Analyst?

AspectR Data Scientist AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; familiarity with RBachelor's in Data, Statistics, Business, or related field; proficiency in data tools
Work EnvironmentResearch labs, tech companies, analytics teamsBusiness settings, marketing, finance, healthcare
Employer & Industry UsageTech firms, research institutions, analytics departmentsCorporations, consulting firms, government agencies
Common Search & ComparisonOften compared for entry-level data roles involving RCompared for data interpretation and reporting tasks

The R Data Scientist Assistant typically focuses on supporting data science projects using R, requiring programming skills and statistical knowledge. Data Analysts often handle data interpretation, reporting, and visualization across various industries. While both roles require analytical skills, the assistant role emphasizes programming and statistical modeling, whereas the analyst role centers on data reporting and business insights.

More about R Data Scientist Assistant jobs
What cities are hiring for R Data Scientist Assistant jobs? Cities with the most R Data Scientist Assistant job openings:
What are the most commonly searched types of R Data Scientist jobs? The most popular types of R Data Scientist jobs are:
What states have the most R Data Scientist Assistant jobs? States with the most job openings for R Data Scientist Assistant jobs include:
Infographic showing various R Data Scientist Assistant job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 96% Full Time, and 3% Part Time. Highlights an 67% Physical, and 33% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist (SQL/Python/R)

Data Scientist (SQL/Python/R)

Syntricate Technologies

San Bruno, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Data Scientist (SQL/Python/R)
Hybrid - San Bruno, CA
Contract.
Responsibilities
• Perform hands-on modeling and complex analyses using Python, SQL and/or R
• Build and enhance marketing mix models to connect the impact of marketing tactics and business short-term and long-term outcomes
Minimum Qualifications
• Marketing mix modeling industry experience
• 8+ years of industry experience in data science, measurement, marketing strategy & analytics
Description:
• We are seeking an experienced data science individual contributor to enable deep insights and capabilities to our clients through advanced analytics and machine learning techniques (e.g. predictive modeling, segmentation, etc)
Responsibilities :
• Perform hands-on modeling and complex analyses using Python, SQL and/or R
• Build and enhance media mix models to connect the impact of marketing tactics and business short-term and long-term outcomes
• Run optimization and simulation scenarios to help provide the marketing investment and allocation recommendations Marketing leadership and CMO
• Present media mix insights to different levels of senior clients
• Explain complex modeling approaches in simple terms and develop compelling narratives that connect modeling results with business problems
• Partner with cross-functional team to streamline data science solutions
• Integrate disparate data sources and leverage state-of-the-art analytics best practices in order to deliver integrated actionable insights to partners and senior leadership around digital marketing optimization
Minimum Qualifications
• Master's degree in statistics, economics, operations research, engineering, or related field
• 6+ years of industry experience in data science, measurement, marketing strategy & analytics
• Strong communication skills to 'tell a story' that provides insight into the business
• Proficient coding skills (SQL/Python/R) and database knowledge
• Extensive experience with predictive modeling algorithms
• Strong project management skills, including managing technical resources and multiple priorities & milestones.
• You have a passion for working in a fast-paced agile environment.
• collaborative mindset and sense of curiosity
Thank you,
Ashutosh Pasbola, Assistant Manager
Syntricate Technologies Inc.
Phone#: (781)-552-4332| Email to: ashutosh@syntricatetechnologies.com
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