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Manager Data Scientist Jobs in Minnesota (NOW HIRING)

RELX

Senior Data Scientist III

Minneapolis, MN · On-site

$115K - $192K/yr

Opportunity for a curious and motivated data scientist to make an impact on our fast-paced and cross-functional team of data scientists, product managers, strategists, and engineers. You would apply ...

Phaedon, LLC

Senior Data Scientist

Minneapolis, MN · On-site

$105 - $155/hr

Build and manage SageMaker training pipelines, model registry, and endpoint deployments, including ... Bachelor's degree in data science, computer science, computer engineering, or related field AND 5 + ...

UnitedHealth Group

Senior Data Scientist

Minnetonka, MN · Remote

$91K - $163K/yr

As a Senior Data Scientist of Medicaid Quality Analytics (UHC Government Programs), you will ... Collaborate with analytics, reporting, network management, and business stakeholders to deliver ...

BWH Hotels

Senior Data Scientist

Minneapolis, MN · On-site

$105 - $155/hr

Build and manage SageMaker training pipelines, model registry, and endpoint deployments, including ... Bachelor's degree in data science, computer science, computer engineering, or related field AND 5+ ...

UnitedHealth Group

Senior Data Scientist

Minnetonka, MN · On-site

$91K - $163K/yr

As a Senior Data Scientist of Medicaid Quality Analytics (UHC Government Programs), you will ... Collaborate with analytics, reporting, network management, and business stakeholders to deliver ...

Phaedon, LLC

Senior Data Scientist

Minneapolis, MN · On-site

Build and manage SageMaker training pipelines, model registry, and endpoint deployments, including ... Bachelor's degree in data science, computer science, computer engineering, or related field AND 5+ ...

In Tandem

Product Data Scientist

Minneapolis, MN

$100K - $140K/yr

Description At In Tandem, we build technology that helps families manage everyday routines and ... As our Product Data Scientist , you'll bring rigorous behavior analysis and predictive modeling to ...

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All JobsData Scientist JobsManager Data Scientist JobsManager Data Scientist Jobs in Minnesota

Manager Data Scientist information

See Minnesota salary details

$45.1K

$161.6K

$238.5K

How much do manager data scientist jobs pay per year?

As of Aug 11, 2026, the average yearly pay for manager data scientist in Minnesota is $161,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,800.00 and $166,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a manager data scientist?

To thrive as a Manager Data Scientist, you need expertise in statistical analysis, machine learning, data modeling, and a relevant degree such as in computer science, mathematics, or statistics. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and experience with data visualization software and project management methodologies are commonly required. Strong leadership, effective communication, and the ability to mentor and guide teams are vital soft skills in this role. These competencies ensure successful project delivery, drive data-driven business decisions, and foster a productive, innovative team environment.

What is the difference between Manager Data Scientist vs Data Scientist?

AspectManager Data ScientistData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; leadership experienceBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech, finance, healthcareFound across industries, entry to mid-level roles

The main difference is that a Manager Data Scientist oversees data teams and projects, focusing on leadership and strategic planning, while a Data Scientist primarily conducts data analysis and model development. The manager role involves more coordination, mentorship, and stakeholder communication, whereas the data scientist role emphasizes technical skills and hands-on analysis.

How does a manager data scientist typically collaborate with cross-functional teams to drive business outcomes?

As a Manager Data Scientist, you will work closely with teams such as engineering, product management, and business stakeholders to ensure data-driven solutions align with company goals. This collaboration often involves translating complex analytical findings into actionable insights, setting project priorities, and managing expectations. You will also facilitate communication between data scientists and non-technical teams to foster understanding and ensure successful project delivery. Building strong relationships and promoting a culture of data-driven decision-making are essential aspects of the role.

What is a manager data scientist?

Manager Data Scientists are professionals who oversee data science teams and projects within an organization. They combine advanced analytical skills with leadership abilities to guide data scientists, set project priorities, and ensure data-driven strategies align with business goals. In addition to technical expertise in data modeling, machine learning, and analytics, they are responsible for mentoring team members, managing resources, and communicating insights to stakeholders. Their role bridges the gap between technical execution and strategic decision-making.
What are the most commonly searched types of Data Scientist jobs in Minnesota? The most popular types of Data Scientist jobs in Minnesota are:
What cities in Minnesota are hiring for Manager Data Scientist jobs? Cities in Minnesota with the most Manager Data Scientist job openings:
Manager Data Scientist jobs near you
Infographic showing various Manager Data Scientist job openings in Minnesota as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $161,621 per year, or $77.7 per hour.

Senior Data Scientist III

RELX

Minneapolis, MN • On-site

$115K - $192K/yr

Full-time

Re-posted 11 days ago

Job description

LexisNexis Risk Solutions

We develop industry-leading solutions that are pro-people, anti-fraud and abuse, and anti-crime to enable frictionless digital government. LexisNexis Risk Solutions cares about our world, and we would love for you to join our team if you want to help solve meaningful problems too

https://risk.lexisnexis.com

About the Role:

Opportunity for a curious and motivated data scientist to make an impact on our fast-paced and cross-functional team of data scientists, product managers, strategists, and engineers. You would apply machine learning and AI technologies to execute analytical and statistical projects supporting all levels of government in civilian services, public health, and public safety. To successfully fulfill this position, you must be eager to learn with experience in data wrangling, data mining, statistical methods, modeling, machine learning, prompt engineering and generative AI techniques. You will support product development, research, and prototyping assignments. If you are a curious and collaborative data scientist who thrives in an innovative environment, then we would like to hear from you.

Responsibilities:

  • Must be a US Citizen or Greencard holder

  • Independently scope, execute and lead small scale projects. Independently execute for more complex projects.

  • Support the entire analytical development lifecycle from design & construction to implementation and validation for products including statistical or machine learning models, AI features and statistical measurements.

  • Extract, clean and design large and complex datasets to support analysis and product deliveries. Apply statistical techniques to conduct analytic research, build statistical models and complete prototypes.

  • Assist in creation of crime data vectorization, similarity measures, and clustering.

  • Assist in architecting generative AI features and conduct prompt engineering for customer facing AI tools.

  • Assist in communicating analytic conclusions to both analytic and non-analytic stakeholders.

  • Collaborate with cross-functional teams including fraud and crime analysts, product management, project management and technologists to execute projects.

Required Qualifications:

Undergraduate degree in Data Science, Mathematics, Statistics or related field and 10+ years of relevant work experience. Or a Master's Degree in related field and 5+ years of relevant work experience.

Skills and Competencies:

  • This person needs to be inside the US boundaries to work on the projects based on necessary compliance.

  • Proficient user of Python, SQL, Pandas, and NumPy.

  • Competent user of Java.

  • Demonstrates proficiencies in Data Science and Machine Learning frameworks. Experience with Generative AI, OpenAI, Copilot, and Claude.

  • Skilled in processing and manipulating large data sets including merging, slicing, sorting, constructing new features.

  • Strong documentation, written and verbal communication skills.

  • Strong interpersonal skills to be able to interface effectively with a broad range of contacts; from technical staff to management.

  • Organized with the ability to handle multiple concurrent activities.

  • Self-starter and eager to learn.

  • Demonstrates leadership within small teams.

  • Detail oriented and critical thinker with strong analytical thinking skills.

U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

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