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Remote Data Science R Jobs in Santa Clara, CA (NOW HIRING)

Data Scientist

Mountain View, CA · On-site +1

$170K - $216K/yr

Autonomous driving presents a new paradigm in data science: in addition to leveraging data ... Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: * PhD in a ...

Senior Data Scientist

Mountain View, CA · On-site +1

$204K - $259K/yr

Autonomous driving presents a new paradigm in data science: in addition to leveraging data ... Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: * PhD in a ...

You will design and develop data & analytics solutions using cutting-edge tools to improve data ... Coding with SQL, Hive, Python/R, SAS, VBA, etc. * Demonstrates excellent organizational skills with ...

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... The ideal candidate will have a strong background in machine learning and data science and a proven ...

Data Scientist

Pleasanton, CA · Remote

$75 - $80/hr

Remote Rate: $75-$80/hr on W2 Key points: Developing computer vision models that improve ... As a Delivery team, this Department uses industry leading data science and change management ...

Associate Data Scientist

Sunnyvale, CA · On-site +1

$174K - $202K/yr

Stay up-to-date with industry trends, best practices, and emerging technologies in data science and ... R; Statistics; Data Visualization; Data Modeling. Salary: $174,304 to $202,500 per year Job Req. ID ...

Data Scientist

Palo Alto, CA · On-site +1

$115K - $180K/yr

You will be part of our ML/Data Science and Engineering teams focused on building and training ... Experience with Machine/Deep Learning software packages such as TensorFlow/MXNet/SparkML/R etc.

Sr. Data Scientist

San Jose, CA · On-site +1

$158K - $218K/yr

Act as a senior data science expert within R&D, partnering with cross-functional teams across ... Proficiency in Python and/or R for data analysis, modeling, and analytics workflows * Experience ...

Act as a senior data science expert within R&D, partnering with cross-functional teams across ... Proficiency in Python and/or R for data analysis, modeling, and analytics workflows * Experience ...

Experience as a Staff or Principal Engineer with a focus on data science, machine learning, or ... We\'re remote, but we regularly get together **We have been made aware of individuals falsely ...

Senior Data Scientist

Mountain View, CA · On-site +1

$161K - $274K/yr

D. in Data Science, Computer Science, Statistics, or a related quantitative field, plus 5+ years of ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

Senior Data Scientist

Mountain View, CA · On-site +1

$161K - $274K/yr

D. in Data Science, Computer Science, Statistics, or a related quantitative field, plus 5+ years of ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

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Remote Data Science R information

See Santa Clara, CA salary details

$44K

$144.1K

$230.8K

How much do remote data science r jobs pay per year?

As of Jul 12, 2026, the average yearly pay for remote data science r in Santa Clara, CA is $144,149.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,700.00 and $159,700.00 per year, depending on experience, location, and employer.

What is the difference between Remote Data Science R vs Remote Data Analyst?

AspectRemote Data Science RRemote Data Analyst
Required SkillsStatistical analysis, R programming, data modeling, machine learningData visualization, basic statistical analysis, Excel, SQL
CertificationsR certifications, data science certificates, possibly advanced degreesData analysis certifications, Excel, SQL courses
Work EnvironmentCollaborative teams, research projects, data science platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, research institutionsMarketing, retail, finance, operations

Remote Data Science R roles focus on advanced statistical modeling and machine learning using R, often requiring specialized certifications and working on complex data projects. Remote Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles involve data handling, Data Science R positions demand deeper technical expertise and programming skills.

What are Remote Data Science R jobs?

Remote Data Science R jobs are positions that involve using the R programming language to analyze and interpret data, build statistical models, and generate insights, all while working from a remote location. These roles typically require strong skills in data manipulation, visualization, and statistical analysis using R. Professionals in these positions may work for companies in various industries, collaborating with teams online and leveraging cloud-based tools. Remote Data Science R jobs offer flexibility, allowing individuals to work from home or anywhere with a reliable internet connection.

What are the key skills and qualifications needed to thrive as a Remote Data Scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, expertise in statistics, programming (Python or R), and typically a degree in data science, computer science, or a related field. Familiarity with data analysis tools, machine learning frameworks (like TensorFlow or scikit-learn), and cloud platforms (such as AWS or Google Cloud) is commonly required. Outstanding problem-solving, self-motivation, and effective virtual communication skills help you excel in remote environments. These abilities are essential for deriving actionable insights from data and collaborating efficiently across distributed teams.

How do remote Data Science R professionals typically collaborate with cross-functional teams while working from different locations?

Remote Data Science R professionals often use a combination of communication platforms (like Slack, Microsoft Teams, or Zoom) and project management tools (such as Jira or Trello) to stay connected with colleagues in engineering, product management, and business analysis. Sharing code and models through version control systems (like Git) and documenting workflows in shared repositories helps maintain transparency and collaboration. Regular virtual meetings and presentations are crucial for aligning goals, discussing progress, and receiving feedback. This collaborative approach ensures that data-driven insights effectively support organizational objectives, even in a distributed work environment.
What are the most commonly searched types of Data Science R jobs in Santa Clara, CA? The most popular types of Data Science R jobs in Santa Clara, CA are:
What are popular job titles related to Remote Data Science R jobs in Santa Clara, CA? For Remote Data Science R jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Remote Data Science R jobs in Santa Clara, CA look for? The top searched job categories for Remote Data Science R jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Remote Data Science R jobs? Cities near Santa Clara, CA with the most Remote Data Science R job openings:

Data Scientist, Senior Enterprise DS & AI Org - Only W2

Rootshell Enterprise Technologies Inc.

Santa Clara, CA • Remote

Other

Posted 23 days ago


Job description

Hello All,

Greetings from Rootshell Inc.

Rootshell Enterprise Technologies Inc. is a recognized provider of professional IT Consulting services in the US. We are actively seeking Data Scientist, Senior-Enterprise DS & AI Org for one of our client, Please share your resume with current location & full contact info

Role: Data Scientist, Senior-Enterprise DS & AI Org

Location: Remote

Only W2

Job Summary:

Notes: Computer vison model experience a must. We will require detail writeup on experience with computer Vison Model.

Key points

  • Ability to synthesize complex information into clear insights and translate those insights into decisions and actions. Demonstrated ability to explain in breadth and depth technical concepts including but not limited to statistical inference, machine learning algorithms, software engineering, model deployment pipelines.
  • Competency in the mathematical and statistical fields that underpin data science
  • Ability to develop, coach and teach career level data scientists in data science/artificial intelligence/machine learning techniques and technologies
  • Strong in Python & R

Education Minimum: Bachelor's degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.

Education Desired: Master's degree in one of the above areas.

Experience Minimum: 4 years in data science (or 2 years, if possess master's degree, as described above).

Knowledge, Skills, Abilities and (Technical) Competencies:

Demonstrated knowledge of and abilities with data science standards and processes (model evaluation, optimization, feature engineering, etc.) along with best practices to implement them

Competency in software engineering, statistics, and machine learning techniques as they apply to data science deployment

Competency in commonly used data science and/or operations research programming languages, packages, and tools.

Hands-on and theoretical experience of data science/machine learning models and algorithms

Ability to synthesize complex information into clear insights and translate those insights into decisions and actions. Demonstrated ability to explain in breadth and depth technical concepts including but not limited to statistical inference, machine learning algorithms, software engineering, model deployment pipelines.

Competency in the mathematical and statistical fields that underpin data science

Mastery in systems thinking and structuring complex problems

Ability to develop, coach and teach career level data scientists in data science/artificial intelligence/machine learning techniques and technologies

Desired: experience building computer vision models

Desired: experience with AWS technologies (S3, GroundTruth, Sagemaker)

With regards

Naveen | Talent Acquisition

Rootshell Enterprise Technologies Inc.

Naveen@rootshellinc.com | www.rootshellinc.com