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Remote Data Scientist Machine Learning Jobs in Davis, CA

VSP Vision

Senior Business Data Analyst

Rancho Cordova, CA · On-site +1

$63K - $108K/yr

Bachelor's degree in statistics, analytics, mathematics, economics, computer science or related ... learning new techniques, approaches and software available Expert level skills in Excel #LI ...

PeopleFinders

Senior BI & Marketing Analyst

Sacramento, CA · Remote

$110K - $120K/yr

Bachelor's or Master's degree in Business, Computer Science, Data Science, Statistics, Mathematics, Engineering, or equivalent work experience. Location Remote enue, risk reduction, and customer ...

Enformion

Product Manager

Sacramento, CA · On-site +1

$120K - $135K/yr

Continuous learning mindset with the ability to grow into expanded responsibilities. * Comfortable ... Direct experience in data science, product, or engineering. * Python proficiency. Key ...

Qualus

Demand Side Management Analyst

Sacramento, CA · On-site +1

... Data Scientists and/or Engineers, and may include team leader roles for candidates who have leadership capabilities and interests. Work Locations: * Reno, NV * Sacramento, CA * United States - Remote ...

Terrestris LLC

Senior GIS Specialist

Sacramento, CA · On-site +1

Bachelor's degree in Geography, Natural Resources Management, Earth Sciences, Engineering, Computer ... data collection solutions and mobile GIS applications. Work Location Remote work is available ...

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Showing results 21-40

All JobsData Scientist Machine Learning JobsRemote Data Scientist Machine Learning JobsRemote Data Scientist Machine Learning Jobs in Davis, CA

Remote Data Scientist Machine Learning information

See Davis, CA salary details

$40.5K

$132.7K

$212.4K

How much do remote data scientist machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote data scientist machine learning in Davis, CA is $132,665.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,500.00 and $147,000.00 per year, depending on experience, location, and employer.

What does a remote data scientist specializing in machine learning do?

A Remote Data Scientist specializing in Machine Learning uses advanced statistical techniques and programming skills to analyze large datasets and build predictive models, all while working from a remote location. They design, develop, and deploy machine learning algorithms to solve business problems, such as forecasting trends or automating processes. Their work often involves data cleaning, feature engineering, model selection, and collaborating with cross-functional teams to integrate these models into products or services. Remote data scientists typically use tools like Python, R, and cloud-based platforms to perform their tasks efficiently.

How do remote data scientists specializing in machine learning typically collaborate with cross-functional teams?

Remote data scientists in machine learning often work closely with product managers, engineers, and business analysts through virtual meetings, collaborative platforms, and shared documentation tools. They regularly participate in sprint planning, code reviews, and brainstorming sessions to ensure alignment with project goals. Effective communication and proactive updates are essential for overcoming the challenges of remote collaboration and maintaining project momentum. Building strong relationships with team members across different time zones helps foster innovation and ensures that machine learning solutions are well-integrated into broader business objectives.

What are the key skills and qualifications needed to thrive as a remote data scientist specializing in machine learning?

To excel as a Remote Data Scientist in Machine Learning, you need a solid background in statistics, programming (typically Python or R), and a degree in computer science, mathematics, or a related field. Familiarity with tools and frameworks such as TensorFlow, scikit-learn, PyTorch, and experience with cloud platforms like AWS or Azure are often required, along with relevant certifications. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills for remote collaboration and translating insights for diverse stakeholders. These competencies ensure the development of robust models, clear communication of findings, and successful project delivery in a distributed work environment.

What is the difference between Remote Data Scientist Machine Learning vs Remote Data Scientist?

AspectRemote Data Scientist Machine LearningRemote Data Scientist
Required CredentialsMaster's or PhD in Data Science, Computer Science, or related field; experience with ML frameworksSimilar educational background; may focus more on statistical analysis and data visualization
Work EnvironmentPrimarily involves developing ML models, coding in Python/R, and deploying algorithmsFocuses on data analysis, reporting, and insights generation, often with less emphasis on ML deployment
Employer & Industry UsageUsed in tech, finance, healthcare for predictive modeling and automationCommon across various industries for data analysis and business intelligence

While both roles require strong analytical skills and similar educational backgrounds, Remote Data Scientist Machine Learning specializes in developing and deploying machine learning models, whereas Remote Data Scientist focuses more on data analysis and reporting. The ML role often involves coding and algorithm development, making it more technical in nature.

What are popular job titles related to Remote Data Scientist Machine Learning jobs in Davis, CA?

For Remote Data Scientist Machine Learning jobs in Davis, CA, the most frequently searched job titles are:

What job categories do people searching Remote Data Scientist Machine Learning jobs in Davis, CA look for?

The top searched job categories for Remote Data Scientist Machine Learning jobs in Davis, CA are:

What cities near Davis, CA are hiring for Remote Data Scientist Machine Learning jobs?

Cities near Davis, CA with the most Remote Data Scientist Machine Learning job openings:

Remote Data Scientist Machine Learning jobs near you

Data Integration/Migration Consultant

Capio Group

Sacramento, CA • Remote

$125K - $135K/yr

Full-time

Re-posted 26 days ago

Job description

Capio Group is looking for an experienced Data Integration/Migration Consultant!
Full-time employee - Remote
Salary: $125,000 - $135,000

About Us:

Capio Group is a California-based Information Technology Consulting firm serving the public sector since 2010. We assist the Government in delivering large, complex systems and solutions. Capio Group is a small, but quickly growing firm that mixes good ideas, with great people, to achieve extraordinary results for our clients. We offer the salary and benefits of the bigger companies, with the added bonus of a flexible workplace and a great work-life balance.
Scope of Work:
Capio Group is looking for an experienced Data Integration/Migration Consultant to work as a part of the team to enhance the client's existing systems into a single solution by integrating a centralized database system. This integrated solution will eliminate duplicate and redundant data systems which would improve the tracking, regulation of licensing, compliance, and laboratory activities. The centralized system would streamline services for consumers, support more robust reporting, such as real-time tracking of applicant, licensee and compliance performance measures, trend analysis to inform policy development, and data-driven adjustments to business processes that increase efficiency and accountability. A centralized system would strengthen the client oversight by increasing operational efficiency, supporting evidence-based decision-making, improving customer service, and accelerating regulatory responsiveness.
The Data Integration/Migration Consultant will be responsible for tasks including but not limited to:

  • Research, evaluate, and critique the current data policies, practices, and procedures.
    Engage key stakeholders from selected departments to understand their data sources and needs.
  • Establish a procedure to determine data requirements, assess business implications, analyze risks, evaluate feasibility, and identify short-term and long-term opportunities for improvement.
  • Provide a plan detailing the data flow, and tools necessary to maintain data quality standards and synchronicity with the systems.
  • Participate in developing plans and in data synchronization work.
  • Identify and execute tasks in preparation for data conversion and migration to decrease data conversion and migration issues and risks.
  • Work with client’s business and technical staff to continue with data profiling.
  • Recommend preferred ways to document and develop data cleansing methods and rules.
  • Coordinate and implement data cleansing rules
  • Collaborate with various stakeholders to achieve objectives for data management.
  • Document and assess the as-is data environment.
  • Identify, collect, and classify client data.
  • Organize data and create data models for all client applications.
  • Build a repository of data sources, data flows, data owners, data custodian, and data users.
  • Administer mapping of all data sources and its movement to ensure data quality.
  • Analyze information flow and recommend appropriate technologies to support business processes.

Mandatory Experience:

  1. Within the last ten (10) years, must have a minimum of five (5)+ years supporting data migration, conversion, and integration for complex IT systems.
  2. Within the last ten (10) years, must have a minimum of four (4) years of relevant experience in authoring and monitoring data pipelines.
  3. Must possess a bachelor’s or advanced degree (master's or PhD) in computer science, engineering, information systems, math or technology-related fields. Additional qualifying experience may be substituted for the required education on a  year-for-year basis. A copy of the degree must be provided upon request.
  4. Must possess a Data management or architecture certifications. May not be substituted with additional experience. A copy of the certification must be provided upon request.
  5. Within the last ten (10) years, must have a minimum experience supporting system consolidations or legacy-to-modern platform transitions.
  6. Within the last ten (10) years,  must have a minimum one (1) year of experience with Accela Civic Platform or Accela licensing and enforcement modules.
  7. Must be able to provide a client/user end reference contact information for each applicable project meeting the requirements upon request in the qualification form. In addition, you must be able to submit completed reference forms when requested. Each reference form must be signed by the referenced individual. The reference contact must be a representative of the company for which the project was developed and must have served in a management or supervisory role.
Desirable Experience:
  1. Within the last ten (10) years, experience with regulatory data, licensing records, enforcement actions, or compliance datasets.
  2. Within the last ten (10) years, familiarity with data quality, validation, and audit readiness.
  3. Possession of Cloud data certifications (Google Cloud preferred). May not be substituted with additional experience. A copy of the certification must be provided upon request.
     
Equal Opportunity Employer:
 
At Capio Group, our employees are our greatest asset and diversity, equity, and inclusion are at the core of who we are. Our commitment to these values is unyielding and is central to our mission and to our impact. We know that having diverse perspectives helps to generate better ideas to solve the complex problems of our diverse clients and the communities they serve.

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