ZipRecruiter

Log In

1

Data Scientist Jobs in Minnesota (NOW HIRING)

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 Inc., a wholly owned subsidiary of MANTECH International Corporation, seeks a motivated, career and ...

New

Accelint

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

Data Scientist * Full Time * Onsite/Hybrid Preferred The Data Scientist is responsible for designing, developing, testing, and maintaining software applications to provide advanced analytics for ...

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

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 ...

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

The Marketing Data Scientist will analyze data to build predictive models that inform commercial strategy and collaborate with marketing and sales teams to enhance decision-making processes.

Jobtailor

Data Scientist

Virginia, MN · On-site

$90 - $130/hr

Experience with data exploration, data cleaning, data analysis, data visualization, data science, or data mining * Experience with statistical and general-purpose programming languages for data ...

New

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

$100K - $150K/yr

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 ...

System One

Data Scientist

Minneapolis, MN · On-site

Data Scientist Location: Minneapolis, MN Job Summary: System One is seeking a Data Scientist with 5+ years of hands-on experience to design, build, and deploy production-grade machine learning models.

System One

Data Scientist

Minneapolis, MN · On-site

Data Scientist Location: Minneapolis, MN Job Summary: System One is seeking a Data Scientist with 5+ years of hands-on experience to design, build, and deploy production-grade machine learning models.

System One

Data Scientist

Minneapolis, MN · On-site

Data Scientist Location: Minneapolis, MN Job Summary: System One is seeking a Data Scientist with 5+ years of hands-on experience to design, build, and deploy production-grade machine learning models.

System One

Data Scientist

Minneapolis, MN · On-site

Data Scientist Location: Minneapolis, MN Job Summary: System One is seeking a Data Scientist with 5+ years of hands-on experience to design, build, and deploy production-grade machine learning models.

Agiliti Health, Inc.

Data Scientist

Eden Prairie, 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

$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 ...

New

RELX

Data Scientist

Minneapolis, MN · On-site

The Data Scientist role involves leading predictive modeling and statistical analysis across various industries to deliver impactful insights and scalable solutions. Responsibilities : • Build and ...

J5 Consulting

Data Scientist

Virginia, MN · On-site

$120 - $160/hr

Introduction We are seeking a skilled Data Scientist to support mission-critical intelligence initiatives by analyzing large-scale structured and unstructured data, developing data models, and ...

RELX

Data Scientist

Minneapolis, MN · On-site

$77K - $128K/yr

About the Role: We're seeking a Data Scientist to lead predictive modeling and statistical analysis across domains such as risk and fraud. The ideal candidate will bring strong expertise in data ...

Daikin-Applied

Data Scientist III

Plymouth, MN · On-site

$90 - $153.30/hr

Data Scientist III - Plymouth, MN - OnsiteDaikin Applied is seeking a Data Scientist III who will be the key analytics expert in an R&D laboratory that evaluates the performance of new HVAC products ...

Daikinapplied

Data Scientist III

Minneapolis, MN · On-site

$90K - $153K/yr

Data Scientist III - Plymouth, MN - Onsite Daikin Applied is seeking a Data Scientist III who will be the key analytics expert in an R&D laboratory that evaluates the performance of new HVAC products ...

Daikin Applied

Data Scientist III

Plymouth, MN · On-site

Data Scientist III - Plymouth, MN - Onsite Daikin Applied is seeking a Data Scientist III who will be the key analytics expert in an R&D laboratory that evaluates the performance of new HVAC products ...

next page

Showing results 1-20

All JobsData Scientist JobsData Scientist Jobs in Minnesota

Data Scientist information

See Minnesota salary details

$36.7K

$120.2K

$192.5K

How much do data scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data scientist in Minnesota is $120,211.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,500.00 and $133,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What do data scientists do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

Is data science a math heavy field?

Data scientists rely heavily on mathematics, including statistics, linear algebra, and calculus, to analyze data and develop models. Strong math skills are essential for tasks like machine learning, data analysis, and algorithm development, often complemented by programming in languages such as Python or R. However, practical skills in data manipulation and domain knowledge are also important for success in the field.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

What are some typical projects data scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.
More about Data Scientist jobs
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 are popular job titles related to Data Scientist jobs in Minnesota? For Data Scientist jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Data Scientist jobs in Minnesota look for? The top searched job categories for Data Scientist jobs in Minnesota are:
What cities in Minnesota are hiring for Data Scientist jobs? Cities in Minnesota with the most Data Scientist job openings:
What are popular job titles related to Data Scientist jobs in MN? For Data Scientist jobs in MN, the most frequently searched job titles are:
Data Scientist jobs near you
Infographic showing various Data Scientist job openings in Minnesota as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $120,211 per year, or $57.8 per hour.

Data Scientist

Elder Research Inc.

Virginia, MN • On-site

$95 - $130/hr

Other

Posted 3 days ago

New

Job description

Career Opportunities with Elder Research

A great place to work.

Locations: USA-VA-Arlington OR USA-NC-Raleigh

Posting Date: 06/12/2026

Security Clearance Required: NONE

Remote Type: Hybrid

Time Type: Full time

Data Scientist - Hybrid (Raleigh, NC or Washington DC)

Elder Research Inc., a wholly owned subsidiary of MANTECH International Corporation, seeks a motivated, career and customer-oriented Data Scientist to join our team in Raleigh, NC or Washington DC. This role is hybrid, and candidates must be located in the Raleigh or Washington, DC market to support 1–2 days onsite per week.

This role is for a highly experienced and curious data scientist to lead the full-lifecycle development and deployment of analytical solutions at Elder. You will operate as a critical member of an analytics team, acting as a trusted advisor to diverse client partner team. The focus is on leveraging advanced analytical methods to turn ambiguous business challenges into high-impact, production-ready models, supported by robust data engineering practices.

Responsibilities
  • Lead Data Science Initiatives: Dive deep into complex and often nebulous requirements, applying expertise in areas such as time series forecasting and Natural Language Processing (NLP) to build, train, and maintain predictive models. Additionally, candidate should be capable of leading and mentoring more junior data scientists.
  • Problem Solver and Consultant: Engage in critical requirements gathering and data "sleuthing" (approximately 10-20% of the role) to connect business use cases with underlying data patterns. You will carve your own path to define and solve problems that lack clear initial definitions.
  • Deliver Automation and Insights: Partner with technical and non-technical groups to identify manual processes and provide recommendations for automation, including building models for functions like anomaly detection and case prediction.
  • Full-Lifecycle Ownership: Utilize data engineering skills to integrate and deploy your analytical solutions, ensuring scalability and operational reliability. This includes troubleshooting deployment issues as needed.
  • Collaborate and Communicate: Interface with internal teams and external client stakeholders to effectively communicate technical findings, maintain strong relationships, and ensure delivery aligns with overall objectives.
Minimum Qualifications
  • 5+ years of experience as a Data Scientist.
  • Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences.
  • Proficiency in Python, including libraries for data analysis and modeling.
  • Strong SQL experience to facilitate deep dives and analysis of complex datasets.
  • Strong hands‑on experience with AWS services, Sagemaker, Lambda, Step Functions, Glue, S3, and Athena, used to build and manage production data pipelines.
  • Knowledge of CI/CD pipelines, version control (Git), and Infrastructure-as-Code.
  • Familiarity with logging, monitoring, and alerting using CloudWatch or similar tools.
  • Understanding of IAM roles, policies, and security best practices for AWS services.
  • Curiosity and a passion for exploring data to understand business context and connect technical work to real‑world impact.
  • Willingness to learn new tools/techniques.
Preferred Qualifications
  • Familiarity with AWS Cloud Development Kit (CDK) and/or Typescript.
  • Exceptional comfort with ambiguity and a proven ability to define and drive projects from vague concepts to concrete outcomes.
  • Strong consultative and communication skills, capable of representing the team effectively to clients.
  • Ability to work autonomously in a fully remote, flexible environment.
  • Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling considerations, bias detection, weighting techniques, handling missing or outlier data, exploratory analysis, and longitudinal forecasting; and understanding of the data analytics lifecycle (e.g., CRISP-DM).

Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.

If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.

#J-18808-Ljbffr

Apply