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

Landpoint

Remote Data Analyst

Fremont, CA · Remote

They work in many industries, including business, finance, science, medicine, and government To ... Proficiency in tools like Excel, SQL, Python, and R is crucial for data analysts to efficiently ...

Waymo

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 ...

Waymo

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 ...

Recruit Monitor

Remote Data Analyst

San Jose, CA · Remote

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 ...

Match Point Solutions

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 ...

Fullpower Technologies

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 ...

Vianai Systems

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.

Align Technology

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 ...

Align Technology, Inc.

Sr. Data Scientist

San Jose, CA · On-site +1

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 ...

Amat

Data Scientist IV - (B4)

Santa Clara, CA · On-site +1

$170K - $234K/yr

If you want to push the boundaries of materials science and engineering to create next generation ... Proficiency with SQL, statistical programming languages (Python, R) and experience building end-to ...

LinkedIn

Senior Data Scientist

Mountain View, CA · On-site +1

$121K - $198K/yr

LinkedIn's Data Science team leverages big data to empower business decisions and deliver data ... Background in at least one programming language (e.g., R, Python, Scala). * Experience in applied ...

ServiceNow

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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All JobsData Science R JobsRemote Data Science R JobsRemote Data Science R Jobs in Santa Clara, CA

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 Aug 3, 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 is a remote data science R?

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 science R, 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 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:
Remote Data Science R jobs near you

Remote Data Analyst

Landpoint

Fremont, CA • Remote

Full-time

Re-posted 5 days ago

Job description

What is data analyst ?

A data analyst is a professional who collects, cleans, and analyzes data to answer questions or solve problems. They work in many industries, including business, finance, science, medicine, and government

To excel as a remote data analyst, professionals must possess a combination of technical skills, soft skills, and industry-specific expertise. These essential skills enable analysts to effectively work with data, collaborate with remote teams, and provide valuable insights that drive business growth.

Skills;

Analytical and problem-solving skills

Knowledge of statistics and mathematics

Experience with spreadsheets

Experience with statistical languages

Experience with scripting languages

Knowledge of database management systems

Data visualization skills

Data Analyst Job Description: Key Responsibilities

Remote data analysts play a crucial role in driving business growth and decision-making by transforming raw data into actionable insights. Their key responsibilities include:

Collecting and interpreting data from various sources: Data analysts are responsible for gathering data from multiple sources, such as databases, APIs, and spreadsheets. They then interpret this data, identifying patterns and trends that can provide valuable insights for the business.

Analyzing data to identify trends and patterns: Once the data has been collected and interpreted, data analysts use various statistical methods and tools to analyze it. By identifying trends and patterns, they can provide insights that help businesses make data-driven decisions.

Creating reports and visualizations to present findings: Data analysts use data visualization tools like Tableau and Power BI to create clear and engaging reports that effectively communicate their findings to stakeholders. These visualizations help businesses understand complex data and make informed decisions.

Collaborating with cross-functional teams to support business objectives: Data analysts work closely with various teams within the organization, such as marketing, sales, and product development. By collaborating with these teams, they can provide data-driven insights that help support the company's overall business objectives.

Ensuring data accuracy and compliance with relevant regulations: Data analysts must ensure that the data they collect and analyze is accurate and reliable. They must also comply with any relevant regulations, such as data privacy laws, to protect the organization from potential legal issues.

Technical Skills

Data manipulation and analysis tools: Proficiency in tools like Excel, SQL, Python, and R is crucial for data analysts to efficiently collect, clean, and analyze data from various sources.

Data visualization tools: Mastery of visualization tools such as Tableau and Power BI helps analysts create impactful visual representations of their findings, making it easier for stakeholders to understand complex data.

Knowledge of statistical methods and machine learning algorithms: A deep understanding of statistical methods and machine learning algorithms allows data analysts to identify trends and patterns, providing valuable insights for decision-making.

Soft Skills

Effective communication and collaboration: Remote data analysts must be able to clearly and concisely communicate their findings and collaborate with cross-functional teams to support business objectives.

Attention to detail and problem-solving abilities: A keen eye for detail and strong problem-solving skills are essential for identifying data anomalies and ensuring data accuracy.

Time management and organization: Remote work requires excellent time management and organizational skills to stay on track and meet deadlines.

Adaptability and self-learning capabilities: As technology and industry trends evolve, remote data analysts must be adaptable and committed to continuous learning to stay ahead of the curve.

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