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

Pattern AI

Lead Engineer

San Mateo, CA · Remote

$116K - $153K/yr

You will collaborate closely with a talented team of engineers, data scientists, data engineers ... Experience working with remote teams across multiple locations * Experience with Kubernetes and ...

DataRobot, Inc.

Lead Engagement Director

San Jose, CA · Remote

R-102650** **DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform ... Experience managing data science or machine learning projectsEducation:* Technical undergraduate ...

TMS

Data Architect - Active Metadata

Menlo Park, CA · Remote

$90 - $95/hr

Menlo Park, CA (Remote) Role Type: Contract Experience: 12+ Years Role Overview: We are seeking a ... D. in Computer Science (Formal Methods/Logic) or Computational Mathematics.

Vianai Systems

Customer Engineer (Remote)

Palo Alto, CA · Remote

$140K - $180K/yr

Collaborate with a diverse team of Designers, Developers, Engineers, Data Scientists both internally and with our customers. * Perform hands-on and in-depth investigations /debugging at all levels of ...

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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 Jul 14, 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:
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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

Lead Engineer

Pattern AI

San Mateo, CA • Remote

$116K - $153K/yr

Full-time

Re-posted 8 days ago

Job description

Company Description

PatternAI is an automated ML/AI platform that reveals critical patterns in data for narrow business problems that impact virtually every company in the world- such as automating customer segmentation, automated predictive analytics, conversational intelligence, and more. 

Our mission is to build the world's most trusted intelligent machine in the cloud for business- a single automated ML/AI platform that can ingest data from any source and reveal deep patterns and insights- in short, a cloud robot that can do extraordinary things for business users. We've built an early version of this cloud machine today, which we call PatternAI, and we're just getting started. 

We're looking for the best and brightest teammates to help us accelerate that vision.

Job Description

For this role, we're looking for a Head of Engineering to help lead the rapid development and growth of PatternAI's automated ML/AI platform across 3 interoperating areas: software engineering, data engineering, and data science. 

You will collaborate closely with a talented team of engineers, data scientists, data engineers, and customer-facing stakeholders (sales, marketing, CS, etc.) to develop innovative solutions that balance the power of ML and an easy-to-use interface. We love candidates who can understand and take ownership of complex problems, make quick decisions, lead and mentor their team, and who are passionate about helping others perform at their best.

  • Collaborate with Product and Data Science teams throughout the software development lifecycle to ensure that we incorporate the principles of building cloud-based systems that are scalable, automated, distributed, and fault-tolerant

  • Actively work on creating cloud infrastructure to support scaling up systems, removing manual processes, and increasing the speed of product development

  • Perform production readiness checks for new services and features by advising on design reviews, capacity management, system monitoring, etc.

  • For team buildout, own the hiring plan and collaborate on recruiting, developing, and retaining exceptional people

  • Roll up your sleeves and be tactical: co-develop product roadmap and development timelines; deep dive on code reviews; identify best-practices and approaches to systems, etc.

Qualifications

To thrive in this role, you have deep technical expertise and knowledge:

  • B.S. in Computer Science, Computer Engineering or formal degree in related field

  • 5+ years experience as an individual contributor on an engineering team

  • 3+ years of experience with data infrastructure and cloud applications

  • Experience deploying applications / tools into production environments

  • Extensive experience with AWS (EC2, ECS, S3, lambda, etc.)

  • Familiar with configuration management technologies (TerraForm, Ansible, Chef, Puppet, CloudFormation, etc.)

  • Comfortable writing scripts (Bash, Python, Go, Ruby, etc.)

  • Understanding of infrastructure security

Extra Credit

  • MS in Computer Science, Computer Engineering or a related field

  • Experience working with remote teams across multiple locations

  • Experience with Kubernetes and Docker

  • CI tools (Jenkins, Circle CI, etc)

Additional Information

All your information will be kept confidential according to EEO guidelines.

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