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Remote Data Science Jobs in Minnesota (NOW HIRING)

Principal Data Engineer

Saint Paul, MN · On-site +1

$101K - $163K/yr

... data scientists, or business analysts. They create and socialize the data engineering technology ... remote and onsite). Candidate's permanent residence must be in Minnesota or Wisconsin. What you ...

Senior Data Scientist

Minnetonka, MN · Remote

$91K - $163K/yr

The Senior Data Scientist will support the development of analytics and insights that drive Star Ratings performance. This role focuses on hands-on analysis, modeling, and stakeholder support ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Understanding of data science concepts and predictive analytics Technical Environment * Power BI ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Understanding of data science concepts and predictive analytics Technical Environment * Power BI ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Understanding of data science concepts and predictive analytics Technical Environment * Power BI ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Understanding of data science concepts and predictive analytics Technical Environment * Power BI ...

Senior Data Scientist

Minnetonka, MN · Remote

$91K - $163K/yr

We are seeking a highly skilled Principal Data Engineer to lead the design, development, and optimization of largescale data platforms and analytical solutions. The ideal candidate will have deep ...

Data Analyst Senior

Minneapolis, MN · On-site +1

$89K - $113K/yr

Degree in Business, Accounting, Finance, Economics, Analytics, or Data Science is preferred. Our approach to compensation emphasizes collaboration and career growth. We pay competitive wages and view ...

You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Data Engineer

Minneapolis, MN · On-site +1

$90K - $113K/yr

The successful candidate will work cross-functionally with data architects, AI/ML engineers, data scientists, analysts, and domain experts to design and implement modern data engineering solutions.

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Remote Data Science information

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.
What are the most commonly searched types of Data Science jobs in Minnesota? The most popular types of Data Science jobs in Minnesota are:
What are popular job titles related to Remote Data Science jobs in Minnesota? For Remote Data Science jobs in Minnesota, the most frequently searched job titles are:
What cities in Minnesota are hiring for Remote Data Science jobs? Cities in Minnesota with the most Remote Data Science job openings:
Infographic showing various Remote Data Science job openings in Minnesota as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Principal Data Engineering - Remote

Principal Data Engineering - Remote

UnitedHealth Group

Minnetonka, MN • On-site, Remote

$112K - $193K/yr

Full-time

Retirement

Re-posted 28 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

191st of 881 rated healthcare providers


Job description

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.

The Principal Data Engineer is a senior individual contributor responsible for designing, building, and scaling enterprise data platforms and pipelines. This role emphasizes cloud based data architecture, data solutioning, and hands on development, supporting large scale data and analytics initiatives. 

You'll enjoy the flexibility to work remotely* from anywhere within the U.S., preferably in Minnesota, as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Primary Responsibilities:

  • Lead the design and implementation of cloud based data architectures and data solutions
  • Build, optimize, and maintain scalable data pipelines on GCP or Azure
  • Provide hands on technical leadership in data platform and solution architecture
  • Work across cloud and on prem environments to support enterprise data needs
  • Collaborate with engineering and analytics teams to ensure data reliability, performance, and scalability
  • Guide junior engineers through technical mentorship and solution design reviews
  • Leverage enterprise approved AI tools to streamline workflows, automate tasks, and drive continuous improvement.
  • Ensure data quality, observability, lineage, and documentation (e.g., Great Expectations/DBT tests, Cloud Monitoring/Logging, Data Catalog)
  • Implement security, IAM, and compliance controls; manage access, encryption, and PII handling
  • Partner with Analytics/BI, Data Science, and Product teams to deliver trustworthy datasets and metrics
  • Troubleshoot and resolve data pipeline incidents, drive root cause analysis and preventive improvements
  • Contribute to data platform roadmaps, standards, and best practices

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction 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 data engineering or related roles
  • Demonstrated experience designing and building data pipelines in enterprise environments
  • Proven solid hands on experience with cloud platforms (GCP preferred; AWS or Azure acceptable)
  • Experience with on prem and cloud based data architectures
  • Hands on experience with develop and optimize data models (databricks/snowflake or similar platform) and ELT/ETL workflows to support analytics and ML
  • Proven solid SQL and Python development skills for data processing and pipeline development, hands-on with Cloud Storage
  • Experience in Implementation of streaming and micro-batch solutions for near-real-time use cases
  • Demonstrated experience in Building CI/CD workflows for data pipelines and infrastructure-as-code using Terraform
  • Demonstrated solid understanding of data warehousing concepts, dimensional modeling, and ELT patterns
  • Experience with batch and streaming data processing at scale

Preferred Qualifications: 

  • Experience supporting large scale analytics or data platforms
  • Demonstrated familiarity with multi cloud or hybrid architectures
  • Experience working in enterprise scale environments
  • Reside in Minnesota

*All employees working remotely 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 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.

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 believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. 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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