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

... science, machine learning, or advanced analytics. * Strong proficiency in Python, R, SQL, and ML ... Flexible remote work options. * Professional growth in AI/ML and advanced analytics. * Competitive ...

... science, machine learning, or advanced analytics. * Strong proficiency in Python, R, SQL, and ML ... Flexible remote work options. * Professional growth in AI/ML and advanced analytics. * Competitive ...

... science, machine learning, or advanced analytics. * Strong proficiency in Python, R, SQL, and ML ... Flexible remote work options. * Professional growth in AI/ML and advanced analytics. * Competitive ...

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 ...

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 Salary - Market (DOE) REMOTE / Work From Home Full-Time / Direct-Hire As Data Scientist, you will spearhead the end-to-end development of sales forecasting and demand sensing models ...

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.

Fully remote anywhere in the United States. Employment Type: 6 month contract with possibility to extend or convert. Role Overview A position is available for a Data Scientist to develop predictive ...

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 ...

Data Scientist, Product

Mountain View, CA · On-site +1

$155K - $185K/yr

... and R for data manipulation, analysis, and visualization. * Has a strong background in data analysis, statistical modeling, and other data science techniques. * Is familiar with B2B SaaS business ...

Pleasanton, California (Remote) Role Overview The Senior Data Scientist will operate as part of an internal consultancy supporting Principal Investigators across diverse research domains. This role ...

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Showing results 1-20

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 Jun 15, 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:

Senior Data Scientist

Apogee Global RMS

San Jose, CA • On-site, Remote

Contractor

Posted 14 days ago


Job description

Apogee Global RMS is looking for a Senior Data Scientist who can turn complex data into actionable intelligence. This person will design, develop, and deploy predictive models, machine learning solutions, and analytical frameworks that support product innovation and strategic decision-making. This role is ideal for someone who thrives in a collaborative environment and enjoys solving complex problems with data.
Key Responsibilities:
  • Build and optimize machine learning models and statistical algorithms.
  • Analyze large, structured and unstructured datasets to identify trends and insights.
  • Develop dashboards, visualizations, and automated reporting tools.
  • Partner with engineering, product, and business teams to integrate data-driven insights into strategy.
  • Validate model performance and ensure data quality, accuracy, and reliability.
  • Communicate findings clearly to technical and non-technical stakeholders.
  • Support ongoing AI/ML initiatives across the organization.

Requirements
  • Bachelor's or Master's in Data Science, Computer Science, Statistics, Mathematics, or related field.
  • 3+ years of experience in data science, machine learning, or advanced analytics.
  • Strong proficiency in Python, R, SQL, and ML libraries (Scikit-learn, TensorFlow, PyTorch).
  • Experience with data visualization tools (Tableau, Power BI, Looker, or similar).
  • Solid understanding of statistical modeling, predictive analytics, and data engineering concepts.
  • Ability to translate complex data into clear, actionable insights.
  • Strong communication and problem-solving skills.

Preferred Experience:
  • Experience working in technology, SaaS, or data-driven environments.
  • Familiarity with cloud platforms (AWS, Azure, GCP).
  • Exposure to NLP, LLMs, or generative AI.
  • Experience with MLOps tools and model deployment workflows.
  • Background working with sensitive or regulated data (nice to have).

Benefits
Why Choose Apogee:
  • Opportunity to work on high-impact, data-driven projects.
  • Collaborative, innovative team environment.
  • Flexible remote work options.
  • Professional growth in AI/ML and advanced analytics.
  • Competitive compensation based on experience.

How to Apply:
For applications and inquiries, please email our Talent Team at : careers@apogeeglobalrms.com