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Manager Data Scientist Jobs in Minnesota (NOW HIRING)

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

... Manage assigned projects to completion on time, within scope, and within budget. Other duties as assigned. Qualifications Required: Bachelor's degree in data science, statistics, mathematics ...

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

... Manage assigned projects to completion on time, within scope, and within budget. • Other duties as assigned. Qualifications : Required : • Bachelor's degree in data science, statistics ...

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

$100K - $150K/yr

... • Manage assigned projects to completion on time, within scope, and within budget. • Other duties as assigned. Qualifications Required: • Bachelor's degree in data science, statistics ...

Elder Research Inc.

Data Scientist

Virginia, MN · On-site

$95 - $130/hr

Hybrid Time Type: Full time Data Scientist - Hybrid (Raleigh, NC or Washington DC) Elder Research ... manage production data pipelines. * Knowledge of CI/CD pipelines, version control (Git), and ...

Agiliti Health, Inc.

Data Scientist

Minneapolis, MN · On-site

$93K - $150K/yr

POSITION SUMMARY The Data Scientist at Agiliti Health contributes to the integration of advanced data analytics across our healthcare technology management and service solutions. This position ...

Agiliti Health, Inc

Data Scientist

Minneapolis, MN · On-site

$94 - $150/hr

POSITION SUMMARY The Data Scientist at Agiliti Health contributes to the integration of advanced data analytics across our healthcare technology management and service solutions. This position ...

RELX

Data Scientist

Minneapolis, MN · On-site

$77K - $128K/yr

The Analytic Customer Management team at LexisNexis Risk Solutions delivers actionable insights ... About the Role: We're seeking a Data Scientist to lead predictive modeling and statistical analysis ...

Vantive

Data Scientist - Sciences

Oakdale, MN · On-site

The Data Scientist will be responsible for supporting the Global R&D Sciences team to design ... Ability to influence management on courses of action using data analyses with minimal assistance ...

Vantive

Data Scientist - Sciences

Oakdale, MN · On-site

The Data Scientist will be responsible for supporting the Global R&D Sciences team to design ... Ability to influence management on courses of action using data analyses with minimal assistance ...

Jobtailor

Senior Data Scientist

Minneapolis, MN · On-site

$120 - $180/hr

Manage multiple assignments simultaneously with minimal direction or supervision. * Work and ... Data Science * Machine Learning * Data Mining * Statistical Modeling * Data Application Design

RELX Group plc

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 ...

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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 10, 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.

Data Scientist

Tactile Medical

Minneapolis, MN • On-site

Full-time

Re-posted 26 days ago

Tactile Medical rating

8.6

Company rating: 8.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

Position Summary
The Marketing Data Scientist is the predictive intelligence engine of TCMD's Marketing and Market Access organization. The primary work is finding connections in TCMD's data that no one has looked for yet, building predictive models, and translating validated models into forward-looking tools. This individual synthesizes insights from Tactile's internal and external data platforms to develop and explore hypotheses for growth. The role's mission is to surface predictive insights from these systems that inform commercial strategy before decisions are finalized. This role collaborates closely with marketing and market access leadership along with sales excellence and commercial leadership.

Accountabilities & Responsibilities
Exploratory analysis, hypothesis generation, feature engineering, model construction, and validation
Build and validate predictive models using appropriate machine learning and statistical methodologies
Translating validated models into forward-looking dashboards or automated scoring systems that are consumed with ease by stakeholders
Partner across the marketing organization to develop campaign lift attribution; building causal inference models isolating incremental referral lift from specific marketing programs
Develop predictive analytics supporting payer targeting and coverage expansion opportunities
Train commercial team users on how to interpret and act on model outputs and the specific decisions the model is designed to support
Communicate within marketing and market access on status of model pipeline and backlog; routinely collect voice of internal stakeholder needs to drive continuous improvement in data driven decision making
Manage assigned projects to completion on time, within scope, and within budget.
Other duties as assigned.

Qualifications

Required:
Bachelor's degree in data science, statistics, mathematics, computer science, economics, or a quantitative field with strong statistical foundations
4-7 years applied data science or machine learning experience, applied in commercial or operational environments
Experience creating predictive models for non-data-scientists to make real commercial or operational decisions
Comfort with messy healthcare commercial data, intellectual curiosity, and the communication discipline to translate technical findings into commercial language
Expert-level modern data science skills in Python and SQL working with structured data and machine-learning frameworks; version-controlled code development and deployment
Ability to transform messy, real-world healthcare data with missing values, inconsistent coding, and multiple granularities into reliable predictive model inputs
Working knowledge of Salesforce CRM architecture, healthcare claims data, Power BI/Fabric deployment environments

Preferred:
Master's or PhD in quantitative field
Understanding of referral-based commercial models, payer coverage dynamics, prior authorization processes, and DME/medical device reimbursement
Survival analysis experience - has applied time-to-event modeling in a commercial context (e.g., customer churn, time-to-conversion, time-to-renewal). Particularly relevant for funnel stage duration modeling and HCP churn prediction
Salesforce data architecture familiarity - understands the Salesforce object model well enough to write efficient queries and build reliable features from CRM data without requiring a Salesforce administrator to extract data
Power BI or Tableau development experience sufficient to deploy model scoring outputs as operational dashboards
Experience in a B2B2C or referral-based commercial model where the customer and the end user are different

What Tactile Medical employees say

Pay

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Hours and flexibility

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