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Data Scientist Telecommute Jobs (NOW HIRING)

Principal Data Scientist Optum is a global organization that delivers care, aided by technology to ... You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some ...

Overview SOSi is seeking a Data Scientist to join our analytics team working on an innovative MLOps ... Occasional remote work or telecommuting opportunities. * Potential travel for conferences, training ...

Overview SOSi is seeking a Data Scientist to join our analytics team working on an innovative MLOps ... Occasional remote work or telecommuting opportunities. * Potential travel for conferences, training ...

Data Scientist (Tubi, Inc.; San Francisco, California): Work with large and complex data sets to ... Telecommuting permitted pursuant to company policy. Salary : $174,000 - 191,400 per year Education ...

New

AI Data Scientist Duration : 9 months Telecommute : yes Travel : no Primary Responsibilities: • Able to write a concept paper can take it from idea to implementation • Partner with Engineering ...

Data Scientist

Boston, MA · On-site

$123K - $129K/yr

Data Scientist Job Requisition: 6630.6346.7 Job Location: 40 Water St, Boston, MA 02109, Required ... Telecommuting allowed for balance of week. Job Type: Full Time Rate of Pay: $123,500 - $129,675 ...

Data Scientist II Location: 400 Spectrum Center Drive, Suite 550, Irvine, CA 92618 ... Telecommuting permitted: work may be performed within normal commuting distance from The Trade Desk ...

Data Scientist

Tulsa, OK · On-site

$80K - $120K/yr

Safety Radar Inc. seeks a Data Scientist to develop AI modules to evaluate customer safety and risk ... Telecommuting is available up to 2 days per week. Job Location: Tulsa, OK Rate of Pay: $80,000.00 ...

Irvine, CA (Hybrid - Onsite and Remote) or San Francisco Market St (Onsite) or Telecommute (Remote) Contract Type: Contract to Hire Project Overview: The Sr. Data Scientist will join the ...

Telecommuting permitted up to 50% per week within same geographic location as assigned office ... in Data Science. Alternatively, will accept Master's degree or foreign equivalent in Computer ...

Data Scientist

Boston, MA · Hybrid

$123K - $129K/yr

Data Scientist Job Requisition: 6630.6346.7 Job Location: 40 Water St, Boston, MA 02109, Required ... Telecommuting allowed for balance of week. Job Type: Full Time Rate of Pay: $123,500 - $129 ...

Associate Data Scientist

Sunnyvale, CA · On-site +1

$174K - $202K/yr

Partial telecommuting permitted. Req: 00100718 Minimum requirements: Master's degree or foreign equivalent in Computer Science, Data Analytics Engineering, Data Science, Statistics, or related ...

Data Scientist

Dearborn, MI · On-site

$128K - $186K/yr

Data Scientist - positions offered by Ford Motor Company (Dearborn, Michigan ... Note, this is a purely telecommuting/work-from-home position whereby the employee may reside ...

Data Scientist

New York, NY · On-site +1

$109K - $173K/yr

Telecommuting available. Multiple positions. Requirements: Master's degree (or foreign equivalent) in Computer Science, Data Science, Engineering, Statistics, Mathematics, Analytics, or a related ...

In this role as Data Scientist, you will develop and deploy advanced ML models, including large ... Flexible Work Schedule/Telecommuting * Vacation/ PaidTime Off * EmployeeDiscounts and Rewards

Data Visualization. 100% Telecommuting is permitted. To apply, please submit your resume by visiting and searching the job code IL0219 - Data Scientist. Additional Information 40 hrs/week, Mon-Fri, 8 ...

Lead Data Scientist

Saint Louis, MO · Hybrid

$140K - $175K/yr

Lead Data Scientist for St. Louis, MO to lead agronomic data science research projects for ... Telecommuting permitted up to 2 days per wk from home office location within reasonable commuting ...

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Data Scientist Telecommute information

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$46K

$165K

$243.5K

How much do data scientist telecommute jobs pay per year?

As of Jul 4, 2026, the average yearly pay for data scientist telecommute in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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

AspectData Scientist TelecommuteData Analyst Telecommute
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; often some experience with machine learningBachelor's in Statistics, Mathematics, or related field; proficiency in data visualization and basic analytics
Work EnvironmentRemote, often collaborative with data science teams, using cloud-based toolsRemote, frequently working independently or with business teams, using analytics software
Employer & Industry UsageTech companies, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

While both roles involve working with data remotely, Data Scientists focus on advanced analytics, machine learning, and predictive modeling, requiring more technical credentials. Data Analysts typically handle data cleaning, visualization, and reporting, with a focus on descriptive analytics. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist, and many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be developed through online courses and certifications regardless of age.

What are the key skills and qualifications needed to thrive as a Data Scientist in a telecommute role, and why are they important?

To excel as a Data Scientist in a telecommute role, you need strong analytical skills, proficiency in statistics, and a solid background in computer science or a related field, often supported by a relevant degree. Mastery of programming languages such as Python or R, experience with machine learning frameworks, and familiarity with cloud-based data platforms are typically required, along with certifications like AWS Certified Data Analytics or Google Data Engineer. Effective communication, self-motivation, and time management are crucial soft skills for collaborating remotely and delivering insights to stakeholders. These abilities ensure accurate data-driven solutions, seamless teamwork, and productivity in a remote work environment.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficient analysis and decision-making.

Can I be a freelance data scientist?

Yes, data scientists can work as freelancers by offering services such as data analysis, modeling, and consulting independently. Successful freelance data scientists typically have strong skills in programming, statistical analysis, and tools like Python or R, and often build a portfolio to attract clients. Freelance work provides flexibility but requires self-management and client acquisition efforts.

Can I work remotely as a data scientist?

Data scientists can often work remotely, especially when their role involves analyzing data, developing models, and using tools like Python, R, or SQL. Many companies offer telecommuting options for data science positions, provided the candidate has strong communication skills and access to necessary data and computing resources.

What is a Data Scientist Telecommute?

A Data Scientist Telecommute is a professional who works remotely to analyze and interpret complex digital data, typically to help businesses make informed decisions. These data scientists use statistical tools, machine learning, and data visualization techniques to extract insights from large datasets, all while collaborating with teams online rather than in a traditional office setting. The telecommute aspect allows for flexible work locations, often requiring strong communication and self-management skills. Employers may use various digital platforms to facilitate teamwork and project management for remote data scientists.

How do Data Scientists working remotely typically collaborate with cross-functional teams?

Remote Data Scientists frequently use digital collaboration tools such as Slack, Zoom, and project management platforms to communicate with engineering, product, and business teams. Regular virtual meetings, shared documentation, and version control systems like Git ensure everyone stays aligned on project goals and progress. While remote work offers flexibility, it also requires proactive communication and clear reporting of findings to bridge any gaps caused by the lack of face-to-face interaction. Building strong relationships with teammates and maintaining transparency are key to successful cross-functional collaboration in a telecommute setting.
More about Data Scientist Telecommute jobs
What cities are hiring for Data Scientist Telecommute jobs? Cities with the most Data Scientist Telecommute job openings:
What are the most commonly searched types of Data Scientist jobs? The most popular types of Data Scientist jobs are:
What states have the most Data Scientist Telecommute jobs? States with the most job openings for Data Scientist Telecommute jobs include:
Principal Data Scientist

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Retirement

Posted 4 days ago


UnitedHealthcare rating

7.9

Company rating: 7.9 out of 10

Based on 675 frontline employees who took The Breakroom Quiz

104th of 877 rated healthcare providers


Job description

Principal Data Scientist

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

This Principal Data Scientist role will be a part of the Decision Sciences team in Client Center of Excellence organization. The role will be responsible for strategic interpretation of data and business requirements to provide executive leadership and the growth with customer centric data driven insights and AI/ML solutions. Working in collaboration with Director, Decision Sciences and other data scientists team members, this role works to identify new business requirements across the organization, translate business requirements into data models, perform data engineering to combine diverse data sets, and develop custom algorithms for predictive AI models to support the Growth business and Optum business units.

You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

  • Lead development of advanced AI/ML systems using techniques such as deep learning, representation learning, time-series modeling, survival analysis, and probabilistic modeling to solve complex healthcare problems
  • Develop Generative AI and LLM-powered solutions including retrieval-augmented generation (RAG) pipelines, domain-adapted LLMs, and AI copilots for enterprise workflows
  • Lead collaboration with key business stakeholders to develop business solutions based on data driven insights to solve complex business problems
  • Lead projects that combine diverse customer data sets to identify trends and opportunities, develop custom machine learning models, and provide recommendations to optimize the business and address data-related problems
  • Serve as a senior technical authority in AI/ML by mentoring data scientists and reviewing complex modeling approaches and architecture
  • Coordinate with different functional teams to improve customer data architecture, ensure accuracy of model output and implement new data gathering processes
  • Create customized summaries, business presentations and documentation for internal business clients based on the results of research
  • Collaborate with engineering, platform, and product teams to operationalize scalable AI/ML and GenAI systems within enterprise platforms

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • 8+ years of experience in machine learning, artificial intelligence, or applied data science to develop data products in a business environment
  • 8+ years of experience in Python-based machine learning development using frameworks such as PyTorch, TensorFlow, Pandas or equivalent
  • 5+ years of experience designing and deploying production machine learning systems leveraging regression, natural language processing algorithms, classification and clustering, time-series forecasting and predictive/prescriptive modeling
  • 5+ years of experience providing data driven solutions, predictive models, reports, or recommendations within a business environment using SQL or data visualization tools. This can include previous work in data science teams, business intelligence, financial reporting or analytics environments

Preferred Qualifications:

  • Experience working with distributed ML systems and large-scale data platforms such as Snowflake, Spark, Databricks, or other ML systems
  • Experience working as a project or team lead on the development of data products in a business environment
  • Experience working as a key SME to executive or C-Suite stakeholders
  • Experience deploying AI solutions on cloud platforms such as AWS, Azure, or GCP
  • Experience working with healthcare datasets and standards such as claims, EHR, ICD, CPT, SNOMED, FHIR, or HL7
  • External contributions such as publications, patents, or open-source projects in machine learning or generative AI

*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 - $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.


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