3

Full Time Remote Data Scientist Jobs in Minnesota

... Remote Your Role ... This Data Scientist role offers the opportunity to help CSAA Insurance Group anticipate and prepare ...

Senior Data Scientist

Minnetonka, MN · Remote

$91K - $163K/yr

As a Senior Data Scientist of Medicaid Quality Analytics (UHC Government Programs), you will ... The salary for this role will range from $91,700 - $163,700 annually based on full-time employment.

Senior Data Scientist

Minnetonka, MN · Remote

$91K - $163K/yr

The Senior Data Scientist will support the development of analytics and insights that drive Star ... The salary for this role will range from $91,700 to $163,700 annually based on full-time employment.

Senior Data Scientist

Minnetonka, MN · Remote

$91K - $163K/yr

We are seeking a highly skilled Principal Data Engineer to lead the design, development, and ... The salary for this role will range from $91,700 to $163,700 annually based on full-time employment.

Teamcenter Data Architect

Saint Paul, MN · On-site +1

$113K - $154K/yr

Teamcenter Data Architect * Full Time * Remote or Hybrid The Teamcenter Data Architect plays a key ... Bachelor's degree in Computer Science, Information Systems, Software Engineering, or related ...

Data Engineer - Remote

Minnetonka, MN · On-site +1

$116K - $140K/yr

Work closely with the other data engineer and data science team members to understand data ... The salary for this role will range from $72,800 to $130,000 annually based on full-time employment.

New

Data Engineer - Remote

Minnetonka, MN · On-site +1

$116K - $140K/yr

Work closely with the other data engineer and data science team members to understand data ... The salary for this role will range from $72,800 to $130,000 annually based on full-time employment.

New

next page

Showing results 1-20

Full Time Remote Data Scientist information

What is a full time remote data scientist?

A Full Time Remote Data Scientist is a professional who analyzes large and complex datasets to extract insights and build predictive models, while working remotely from a location outside of the traditional office. They use statistical techniques, machine learning, and programming skills to solve business problems and support decision-making. Working full time means they typically adhere to a standard workweek, collaborating virtually with team members and stakeholders. Remote data scientists often use online tools for communication, data access, and code sharing, allowing them to contribute effectively from anywhere with a reliable internet connection.

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

AspectFull Time Remote Data ScientistFull Time Remote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often certifications in machine learning or data analysisDegree in Statistics, Mathematics, or related field; certifications in data analysis tools
Work EnvironmentCollaborates with data engineers, scientists, and product teams; focuses on modeling and predictive analyticsWorks with business teams; focuses on data reporting, visualization, and descriptive analytics
Industry UsageUsed across tech, finance, healthcare, and e-commerce industriesCommon in retail, marketing, finance, and healthcare sectors

Full Time Remote Data Scientists typically handle complex modeling and predictive tasks, requiring advanced skills and certifications, while Data Analysts focus on interpreting data and creating reports. Both roles are remote-friendly and essential across various industries, but their core responsibilities differ significantly.

How do remote data scientists typically collaborate with team members and stakeholders across different locations?

Remote data scientists often work closely with cross-functional teams, including engineers, product managers, and business analysts, using digital collaboration tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular virtual meetings, code reviews, and shared documentation help ensure alignment and transparency, even across time zones. Clear communication, proactive status updates, and well-documented code are essential for successful teamwork in a remote setting. Additionally, many organizations foster connection through virtual stand-ups and team-building activities to maintain a strong, cooperative work culture.

What are the key skills and qualifications needed to thrive as a full time remote data scientist?

To thrive as a Full Time Remote Data Scientist, you need expertise in statistics, machine learning, and data analysis, usually supported by a degree in a quantitative field. Proficiency with programming languages like Python or R, data visualization tools, and platforms such as SQL, TensorFlow, or cloud services is typically required. Strong problem-solving, communication skills, and self-motivation are essential soft skills for remote collaboration and project delivery. These skills and qualities are crucial for extracting actionable insights from data and effectively contributing to distributed teams.
What are the most commonly searched types of Remote Data Scientist jobs in Minnesota? The most popular types of Remote Data Scientist jobs in Minnesota are:
What are popular job titles related to Full Time Remote Data Scientist jobs in Minnesota? For Full Time Remote Data Scientist jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Full Time Remote Data Scientist jobs in Minnesota look for? The top searched job categories for Full Time Remote Data Scientist jobs in Minnesota are:
What cities in Minnesota are hiring for Full Time Remote Data Scientist jobs? Cities in Minnesota with the most Full Time Remote Data Scientist job openings:
Infographic showing various Full Time Remote Data Scientist job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Scientist

通用磨坊股份有限公司

Minneapolis, MN • On-site, Remote

$110K - $184K/yr

Full-time

Medical, Retirement

Posted 7 days ago


Job description

COMPANY OVERVIEW

We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.​

At General Mills, we make the food the world loves. Behind every great decision is great data, and we are investing in the people, platforms, and AI capabilities that help turn insight into action.

We are hiring a Senior Data Scientist to help shape the next generation of advanced analytics and AI solutions across the enterprise. In this role, you will partner with business stakeholders, product owners, and technical teams to identify high-value opportunities, develop scalable machine learning solutions, and build reusable frameworks that strengthen how data science work gets done across General Mills.

This is an exciting opportunity for someone who enjoys both building and influencing: building models, frameworks, and AI-enabled solutions, while also helping teams make smarter, faster, data-driven decisions.

What you will do
  • Partner with data science leaders, AI engineering teams, and business stakeholders to identify, prioritize, and deliver high-impact AI and machine learning use cases

  • Design, prototype, and scale advanced analytics and AI solutions using best-in-class tools and technologies

  • Frame business problems as measurable data science opportunities and translate them into practical, value-focused solutions

  • Build production-ready, reusable, and scalable models that generate timely, actionable insights

  • Work across semi-structured data use cases, including problem framing, data curation, model development, and evaluation

  • Monitor model performance, incorporate stakeholder feedback, and continuously improve solution effectiveness

  • Help define and standardize data science ways of working, including common processes, reusable assets, frameworks, and best practices

  • Communicate recommendations clearly and persuasively, helping partners understand the why behind the work and trust the path forward

  • Contribute to a strong team culture by collaborating, sharing ideas, asking questions, and supporting other data scientists

Why this role stands out
  • You will work on cutting-edge AI initiatives that are already delivering business value

  • You will help build the internal foundations, standards, and reusable frameworks that make AI adoption faster and more effective across the company

Minimum Qualifications
  • 5+ years of experience in data science, decision sciences, or a related quantitative field

  • Bachelor\'s degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related field

  • Strong foundation in machine learning, statistical thinking, and/or analytical problem-solving

  • Strong proficiency in Python and SQL

  • Experience working with complex databases and modern data science tooling

  • Ability to spot questionable data, investigate issues, and improve the overall solution

  • Strong communication and stakeholder management skills, with the ability to translate business needs into technical solutions

  • Experience with cloud platforms such as GCP or similar environments

Preferred qualifications
  • Master\'s degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related field

  • Experience building large-scale AI or machine learning models

  • Some experience building AI solutions, including hands-on work with newer AI or agentic capabilities using Python or a similar programming language

  • Experience in operational or commercial business environments

  • Exposure to machine learning engineering practices and coding standards that support scalable, production-minded solutions

A strong fit for this role will bring
  • A balance of deep data science expertise and practical engineering exposure

  • Curiosity about where AI can create value and the discipline to prioritize the right use cases

  • Confidence working with ambiguity and shaping structure where it does not yet exist

  • A collaborative mindset and the ability to influence across technical and non-technical stakeholders

Additional considerations
  • International relocation and international remote working arrangements outside of the United States will not be considered

  • Candidates must be currently authorized to work in the United States on a full-time basis

SALARY RANGE

The salary range for this position is:

$110,800 - $184,800 Annual

At General Mills we strive for each employee\'s pay at any point in their career to reflect their experiences performance and skills for their current role. The salary range for this role represents the numerous factors considered in the hiring decisions including, but not limited to, educations, skills, work experience, certifications, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range. ​

Beyond base salary, General Mills offers a competitive Total Rewards package focusing on your overall well-being. We are proud to offer a foundation of health benefits, retirement and financial wellbeing, time off programs, wellbeing support and perks. Benefits may vary by role, country, region, union status, and other employment status factors. You may also be eligible to participate in an annual incentive program. An incentive award, if any, depends on various factors, including, individual and organizational performance.

ELIGIBILITY

Applicants must meet a minimum 18-year age qualification.

EQUAL OPPORTUNITY EMPLOYER (EOE)

General Mills is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, marital or familial status, status regarding public assistance, or membership or activity in a local human rights commission.

REASONABLE ACCOMODATION REQUEST

If you need to request an accommodation during the application or hiring process, please fill out our online accommodation request form by following this link: Accommodation Request.