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

Doxel

Full Stack Software Engineer

Bodega Bay, CA · Remote

$150K - $165K/yr

From hospitals to data centers, and from field leaders to executive teams, Doxel is used every day ... Remote first culture (for most roles) * Comprehensive Health Insurance (Medical, Dental, Vision)

1 point system

Senior Salesforce Engineer

Bodega Bay, CA · Remote

$128K - $157K/yr

Job Role Senior Salesforce Engineer Location Remote Duration 4+ Months C2H Interview type Video ... Data Cloud experience is nice to have but not required. * This team highly values SFDC ...

WEX

Senior Backend Engineer - AI Platform

Bodega Bay, CA · On-site +1

$145K - $191K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Bachelor's degree in Computer Science or Software Engineering * 5-8 years of professional ...

Blue Origin

Principal Mixed Signal Architect

Bodega Bay, CA · On-site +1

$230K - $323K/yr

... data-conversion SoCs. This role will own architecture, top-level specifications, behavioral ... A temporary remote work exception will be made for certain locations as we finalize our office ...

eNett

Senior Backend Engineer - AI Platform

Bodega Bay, CA · On-site +1

$145K - $191K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Bachelor's degree in Computer Science or Software Engineering * 5-8 years of professional ...

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All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Santa Rosa, CA

Remote Data Science information

See Santa Rosa, CA salary details

$26.2K

$116.4K

$222.1K

How much do remote data science jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote data science in Santa Rosa, CA is $116,384.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,118.00 and $161,428.00 per year, depending on experience, location, and employer.

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, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

Can I work remotely in data science?

Yes, data science is a field that often offers remote work opportunities. Many companies hire data scientists to work remotely, requiring skills in programming, data analysis, and tools like Python or R. Remote data science roles typically involve collaboration through online platforms and may require strong communication skills.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Remote data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills in programming, statistics, and machine learning. Many professionals transition into data science later in life by gaining certifications and building portfolios, making age less of a barrier in this field.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

How can I make $100,000 a year working from home?

Remote data scientists can earn $100,000 or more annually by gaining advanced skills in machine learning, programming languages like Python or R, and data visualization tools. Building a strong portfolio, obtaining relevant certifications, and gaining experience in high-demand industries can help achieve this income level while working remotely.
More about Remote Data Science jobs
What are the most commonly searched types of Data Science jobs in Santa Rosa, CA? The most popular types of Data Science jobs in Santa Rosa, CA are:
What are popular job titles related to Remote Data Science jobs in Santa Rosa, CA? For Remote Data Science jobs in Santa Rosa, CA, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Santa Rosa, CA look for? The top searched job categories for Remote Data Science jobs in Santa Rosa, CA are:
What cities near Santa Rosa, CA are hiring for Remote Data Science jobs? Cities near Santa Rosa, CA with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Santa Rosa, CA as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,384 per year, or $56 per hour.
Full Stack Software Engineer

Full Stack Software Engineer

Doxel

Bodega Bay, CA • Remote

$150K - $165K/yr

Full-time

Re-posted yesterday

Job description

Construction is the second-largest industry in the world—nearly 4x the size of SaaS—yet it still operates without the automated feedback loops that modern software teams rely on. Without real-time observability, issues are detected too late, contributing to over $3 Trillion in annual global waste.

Doxel brings computer vision and AI to construction, giving teams real-time visibility into progress, risk, and execution. From hospitals to data centers, and from field leaders to executive teams, Doxel is used every day to support better decisions and faster delivery. Our platform is trusted by industry leaders including Shell, Genentech, HCA Healthcare, Kaiser, Turner, and Layton.

Doxel’s automated progress tracking solution keeps teams aligned with hard facts that leave no ambiguity on where the project is today, where it will be tomorrow and what decisions need to be made to land it on schedule and on budget. This enables our customers to deliver projects, on average, 11% ahead of schedule with up to 16% savings on monthly cash flow.

Backed by Insight Partners and Andreessen Horowitz and with a rapidly growing team of engineers, scientists, construction veterans, and Enterprise go-to-market teams, we're driven to help our customers win. 

Join us as we continue our journey to transform the $15T Construction Industry!

Your Day to Day
  • Designing and developing full-stack applications powering project management, commissioning workflows, and data capture
  • Building web and mobile tools for field teams to upload videos, images, structured forms, IoT readings, and issue documentation
  • Developing intuitive, high-performance UIs that handle complex data streams and large-scale datasets
  • Working on backend services and APIs that support rapid data ingestion, processing, and review at enterprise scale
  • Collaborate cross-functionally with backend, CV/ML, product, design, and 3D visualization teams to deliver seamless end-to-end features
 
What Success Looks Like
  • Managing individual project priorities, deadlines and deliverables
  • Designing and implementing new user-facing features in Doxel’s products
  • Optimizing web applications to maximize speed and scale
  • Collaborating cross-functionally with backend, CV/ML, product, design, and 3D visualization teams to deliver seamless end-to-end features
  • Contributing to technical planning, feature roadmaps, and long-term architectural decisions for Doxel’s applications ecosystem
  • Championing usability and field readiness ensuring tools are simple, fast, and resilient in tough real-world construction environments
What You Bring
  • 5+ years of experience building and shipping full-stack web and mobile applications
  • Expertise with modern full-stack frameworks (e.g., Nuxt.js, Next.js, , or similar)
  • Strong engineering experience with Typescript, Python or Java, and APIs
  • Experience developing applications that handle large-scale multimodal datasets (3d components, videos, images) and/or IoT data inputs
  • Strong familiarity with cloud environments (AWS, GCP, or Azure) and containerized infrastructure
  • Experience working with a team to design domain-driven data models and working with OLTP/OLAP system
Preferred Experience
  • Experience with data warehousing tools such as Redshift, Snowflake, Databricks, or BigQuery
  • Background with offline-capable architectures and mobile-first data collection tools
  • Experience with 3D visualization (three.js), geospatial data, or computer-vision-powered experiences
  • Exposure to ML/AI-driven feature development.
  • Comfort with CI/CD pipelines, observability tooling, and automated testing best practices
Benefits & Company Culture
  • Competitive Base Salary + Equity Package
  • Remote first culture (for most roles)
  • Comprehensive Health Insurance (Medical, Dental, Vision)
  • Home Office Stipend
  • Monthly allowance for cell phone and internet
  • Flexible PTO, generous company holiday policy, and unlimited sick days
Doxel is an equal opportunity employer and actively seeks diversity at our company. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.