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Remote Data Scientist Jobs in Spring Valley, CA (NOW HIRING)

Data Scientist II

San Diego, CA · On-site +1

$140K/yr

This is a remote friendly position. On-site cube available in South San Francisco or San Diego.  We are seeking a talented and experienced AI/ML data scientist to join our Veracyte's Data Science ...

We are seeking a talented and experienced Principal Data Scientist with proven expertise in ... This is a remote friendly position for both US and Canada based candidates. * On-site desk-space is ...

As part of the Data Science and Engineering team, this role combines strategic leadership ... Remote Workplace: Your location will be a home office; you are not required to live within ...

Data Ops Engineer

San Diego, CA · On-site +1

$200K - $240K/yr

Engineering and Sciences Subcategory: Systems Engineer Schedule: Full-Time Shift: Day Job Travel ... None Potential for Remote Work: ORA_ON_SITE Description We are seeking a Data Ops Engineer to ...

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Showing results 1-20

Remote Data Scientist information

See Spring Valley, CA salary details

$38.4K

$125.6K

$201.1K

How much do remote data scientist jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote data scientist in Spring Valley, CA is $125,582.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,800.00 and $139,200.00 per year, depending on experience, location, and employer.

What is a remote data scientist?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

What does a remote data scientist do?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

What key skills and qualifications are 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, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

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

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

What are the most commonly searched types of Data Scientist jobs in Spring Valley, CA?

The most popular types of Data Scientist jobs in Spring Valley, CA are:

What are popular job titles related to Remote Data Scientist jobs in Spring Valley, CA?

For Remote Data Scientist jobs in Spring Valley, CA, the most frequently searched job titles are:

What cities near Spring Valley, CA are hiring for Remote Data Scientist jobs?

Cities near Spring Valley, CA with the most Remote Data Scientist job openings:

Infographic showing various Remote Data Scientist job openings in Spring Valley, CA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $125,582 per year, or $60.4 per hour.

Data Scientist II

Veracyte

San Diego, CA • On-site, Remote

$140K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way – it’s about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions. 

Our Values:

  • We Seek A Better Way: We innovate boldly, learn from our setbacks, and are resilient in our pursuit to transform cancer care
  • We Make It Happen: We act with urgency, commit to quality, and bring fun to our hard work
  • We Are Stronger Together: We collaborate openly, seek to understand, and celebrate our wins
  • We Care Deeply: We embrace our differences, do the right thing, and encourage each other
The Position:

This is a remote friendly position. On-site cube available in South San Francisco or San Diego.  

We are seeking a talented and experienced AI/ML data scientist to join our Veracyte’s Data Science team. This position offers a unique opportunity to work with experienced professionals to drive research and develop new diagnostic products employing one of the world’s largest clinical cancer databases, encompassing multi-platform digital pathology, genomic and clinical outcome data.    

The successful candidate will assist in the development of digital pathology AI models for a wide range of clinical and pathology outcomes by applying and adapting state-of-the-art vision/vision-language foundation models to whole-slide images (WSIs). As a Data Scientist II at Veracyte, the candidate will be expected to adapt and develop solutions to complex problems under company’s objective. This work will be conducted in close collaboration with other teams, including internal medical and business development teams, as well as key opinion leaders, with whom we collaborate on identifying relevant data, and developing computer vision models. The ability to explain AI/ML concepts to both experts and non-experts, including formal presentation, academic writing, and generation of publication-quality figures will be key necessary talents. The ideal candidate is passionate about data, eager to learn independently, and possesses strong analytical, problem-solving, and storytelling skills.   

 KEY RESPONSIBILITIES:   

  • Assist in the development of digital pathology AI (DPAI) models with WSI data to predict clinical outcome and pathological/morphologic features, including adapting open-source state-of-the-art AI foundation models to Veracyte’s data.  
  • Assist in the evaluation and analyzing of DPAI models with respect to clinical, pathological and genomic outcomes or features, with a view to linking explainability of model features to biology. 
  • Participate in the design and carry experiments to compare and evaluate DPAI methods. Document and explain the results. 
  • Collaborate with both internal and external partners to understand the clinical and business requirements for given products and tailor algorithms accordingly.  
  •  Work with bioinformatician, statistician, and medical experts to document projects, including generating analyses and visualizations for publication in peer-reviewed journals. 
Who You Are:

REQUIRED EXPERIENCE:    

  • PhD in Statistics, Biostatistics, Data Science or equivalent field.  
  • 3+ years of experience of data/applied scientist role or equivalent 
  • Proficient in Python or equivalent in carrying out AI development.  
  • Strong skills with data clean-up, manipulation and visualization using tidyverse, ggplot in R or equivalent.  
  • Experience in statistical analysis, especially in survival modelling and hypothesis testing (i.e., multivariate regression modelling with interaction effects).  
  • Excellent in summarizing and communicating findings from data and attention to detail.  
  • Ability to work effectively in a fast-paced and collaborative environment. 
  • Eagerness to learn new technologies and adapt to evolving requirements.  

RELEVANT EXPERIENCE (preferred but not required):      

  • Knowledge of cancer biology 
  • Experience working with real world clinical data. 

#LI-Hybrid, or #LI-Remote

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to years of experience, skillset, geographic location, industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Pay range$101,000—$140,000 USD What We Can Offer You

Veracyte is a growing company that offers significant career opportunities if you are curious, driven, patient-oriented and aspire to help us build a great company. We offer competitive compensation and benefits, and are committed to fostering an inclusive workforce, where diverse backgrounds are represented, engaged, and empowered to drive innovative ideas and decisions. We are thrilled to be recognized as a 2024 Certified™ Great Place to Work® in both the US and Israel - a testament to our dynamic, inclusive, and inspiring workplace where passion meets purpose.

About Veracyte

Veracyte (Nasdaq: VCYT) is a global diagnostics company whose vision is to transform cancer care for patients all over the world. We empower clinicians with the high-value insights they need to guide and assure patients at pivotal moments in the race to diagnose and treat cancer. Our Veracyte Diagnostics Platform delivers high-performing cancer tests that are fueled by broad genomic and clinical data, deep bioinformatic and AI capabilities, and a powerful evidence-generation engine, which ultimately drives durable reimbursement and guideline inclusion for our tests, along with new insights to support continued innovation and pipeline development. For more information, please visit www.veracyte.com or follow us on LinkedIn or X (Twitter).

Veracyte, Inc. is an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability status. Veracyte participates in E-Verify in the United States. View our CCPA Disclosure Notice.

If you receive any suspicious alerts or communications through LinkedIn or other online job sites for any position at Veracyte, please exercise caution and promptly report any concerns to careers@veracyte.com