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Remote Data Scientist Jobs in San Ramon, CA (NOW HIRING)

Sr. Data Scientist

San Francisco, CA ยท Remote

$162K - $238K/yr

The Opportunity We're looking for a Senior Data Scientist (IC4) to join our growing AI and Data ... remote Notice of Collection and Use of Personal Information for California Residents: California ...

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Junior Data Scientist

San Francisco, CA ยท Remote

$10K - $12K/yr

We're looking for a Junior Data Scientist who loves exploring data, uncovering insights, and turning numbers into clear stories. In this friendly, creative team, you'll dive into data's mysteries ...

The Data Science group is made up of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, psychology, geography, physics, statistics, and ...

We are hiring a C hemical Data Scientist to build and maintain the pipelines that keep Valdera ... remote environment with ambiguous, evolving priorities \\n Salary Range: Salary ranges are ...

We are hiring a C hemical Data Scientist to build and maintain the pipelines that keep Valdera ... remote environment with ambiguous, evolving priorities \\n Salary Range: Salary ranges are ...

We are hiring a C hemical Data Scientist to build and maintain the pipelines that keep Valdera ... moving, remote environment with ambiguous, evolving priorities Salary Range: Salary ranges are ...

We are hiring a C hemical Data Scientist to build and maintain the pipelines that keep Valdera ... moving, remote environment with ambiguous, evolving priorities Salary Range: Salary ranges are ...

Finalis is a high-growth, VC-backed, fully remote startup using AI to build the future of private ... As Lead Data Scientist, you will be the driving force to build a world-class ML and AI insights ...

LinkedIn's Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and ...

LinkedIn's Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and ...

Data Scientist, Technical Lead

Berkeley, CA ยท On-site +1

$210K - $260K/yr

As a Technical Lead - Data Science, you will provide technical direction and management fora team of data scientists working on high-impact problems across trading and research systems. You will be ...

Our Impact Data science is integral to Parafin's mission. Our platform partnerships and lending history provide rich insights into the financial health of small businesses around the world. This ...

Senior Data Scientist About Nash Nash is the autonomic logistics platform. We unify decisioning and execution across fleets, carriers, providers, and fulfillment networks, continuously adapting as ...

Sr. Data Scientist

San Jose, CA ยท On-site +1

$158K - $218K/yr

Description The Sr. Data Scientist in the Research and Development (R&D) group at Align works closely with our cross-functional teams in IT, software, marketing, clinical, and operation teams. He/she ...

The Sr. Data Scientist in the Research and Development (R&D) group at Align works closely with our cross-functional teams in IT, software, marketing, clinical, and operation teams. He/she leverages ...

Showing results 21-40

Remote Data Scientist information

See San Ramon, CA salary details

$41.9K

$137.2K

$219.6K

How much do remote data scientist jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote data scientist in San Ramon, CA is $137,163.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $152,000.00 per year, depending on experience, location, and employer.

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.

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 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.

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 San Ramon, CA? The most popular types of Data Scientist jobs in San Ramon, CA are:
What are popular job titles related to Remote Data Scientist jobs in San Ramon, CA? For Remote Data Scientist jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Remote Data Scientist jobs in San Ramon, CA look for? The top searched job categories for Remote Data Scientist jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Remote Data Scientist jobs? Cities near San Ramon, CA with the most Remote Data Scientist job openings:
Infographic showing various Remote Data Scientist job openings in San Ramon, CA as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% Remote job distribution, with an average salary of $137,163 per year, or $65.9 per hour.

Sr. Data Scientist

6sense

San Francisco, CA โ€ข Remote

$162K - $238K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 5 days ago


Job description

About 6sense

6sense is revolutionizing how B2B organizations create, manage, and convert pipeline to revenue. Powered by AI, big data, and predictive analytics, our platform helps revenue teams identify buying intent, engage the right accounts, and drive growth.

The Opportunity

We're looking for a Senior Data Scientist (IC4) to join our growing AI and Data Science team. This is an exciting opportunity for an experienced ML practitioner who enjoys building production-grade AI systems and transforming cutting-edge research into impactful customer-facing products.

You will work on advanced machine learning, NLP, LLMs, Agentic AI, and GenAI applications that directly influence product innovation and customer outcomes.

What You'll Do
  • Design, build, and deploy scalable machine learning and AI solutions in production environments.
  • Develop NLP and transformer-based systems for enterprise-scale applications.
  • Build Agentic AI workflows leveraging frameworks such as LangGraph and LangChain.
  • Own the end-to-end ML lifecycle, including:
    • Data exploration
    • Feature engineering
    • Model development
    • Evaluation
    • Deployment
    • Monitoring
  • Develop ranking, recommendation, classification, prediction, and optimization models.
  • Partner closely with Product, Engineering, and Analytics teams to solve complex business problems.
  • Improve performance, scalability, reliability, and observability of production ML systems.
  • Contribute to AI platform architecture and technical strategy.
  • Mentor engineers and help elevate engineering excellence across the organization.
What We're Looking ForRequired Qualifications
  • 8+ years of experience building and deploying machine learning solutions in production.
  • Strong foundation in Machine Learning, Statistics, and Applied Data Science.
  • Experience with:
    • Supervised & Unsupervised Learning
    • Recommendation Systems
    • Ranking Models
    • Predictive Modeling
  • Deep expertise in:
    • NLP
    • Transformers
    • Embeddings
    • Encoder-Decoder Architectures
    • Retrieval-based Systems
  • Hands-on experience with GenAI ecosystems including:
    • LangGraph
    • LangChain
    • Amazon Bedrock
  • Strong Python programming skills.
  • Experience building distributed ML systems and pipelines using AWS and Databricks.
  • Strong understanding of feature engineering, model evaluation, and MLOps.
  • Ability to independently solve ambiguous problems and drive execution.
  • Strong product mindset with focus on customer impact and business outcomes.
Preferred Qualifications
  • Experience building Agentic AI and Multi-Agent Systems.
  • Experience with:
    • RAG Architectures
    • Vector Databases
    • Prompt Engineering
  • Hands-on experience with PyTorch and/or TensorFlow.
  • Prior experience in B2B SaaS or customer-facing AI products.

Base Salary Range: $162,923.67 - $238,954.71. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense's total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense's board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote

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