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Data Analyst Data Scientist Jobs in Minnesota (NOW HIRING)

Elder Research Inc.

Data Scientist

Virginia, MN · On-site

$95 - $130/hr

The focus is on leveraging advanced analytical methods to turn ambiguous business challenges into ... Lead Data Science Initiatives: Dive deep into complex and often nebulous requirements, applying ...

PamTen Inc

Data Scientist

Wayzata, MN · On-site

... analytics, statistical modeling, or a related technical discipline. · Experience developing ... for data science and machine learning, such as Python, R, or SAS. · Strong SQL skills and ...

US Bank

Data Scientist

Minneapolis, MN · On-site

Behind every great decision is insightful data, advanced analytics, and the people who know how to turn information into action. We're looking for a Data Scientist who is passionate about solving ...

New

U.S. Bank

Data Scientist

Minneapolis, MN · On-site

$105 - $124/hr

Behind every great decision is insightful data, advanced analytics, and the people who know how to turn information into action. We're looking for a Data Scientist who is passionate about solving ...

New

Tactile Medical

Data Analyst

New Brighton, MN · On-site

Bachelors Degree in Data Analytics or in Computer Science, Engineering, Mathematics, Statistics, or related field, with a focus on Data Analytics * 1+ years of relevant experience in data analytics ...

Vantive

Data Scientist - Sciences

Oakdale, MN · On-site

The Data Scientist will be responsible for supporting the Global R&D Sciences team to design ... Performing multivariant analyses to assess the sensitivity of the system and impact of the ...

Accelint

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

Data Scientist * Full Time * Onsite/Hybrid Preferred The Data Scientist is responsible for ... They use a flexible, analytical approach to design, develop, and evaluate predictive models and ...

Vantive

Data Scientist - Sciences

Oakdale, MN · On-site

The Data Scientist will be responsible for supporting the Global R&D Sciences team to design ... Performing multivariant analyses to assess the sensitivity of the system and impact of the ...

Dlapiper

Data Scientist

Minneapolis, MN · On-site +1

Performs custom analysis. Uses modelling to drive business results with data-based insights and ... Prioritizes, scopes and manages data science projects for internal stakeholders and clients.

Tactile Medical

Data Analyst

New Brighton, MN · On-site

$61K - $86K/yr

Bachelors Degree in Data Analytics or in Computer Science, Engineering, Mathematics, Statistics, or related field, with a focus on Data Analytics * 1+ years of relevant experience in data analytics ...

Accelint

Data Scientist

Saint Paul, MN · On-site

$106 - $127/hr

Data Scientist * Full Time * Onsite/Hybrid Preferred The Data Scientist is responsible for ... They use a flexible, analytical approach to design, develop, and evaluate predictive models and ...

York Solutions, LLC

Data Scientist

Minnetonka, MN · On-site

Data Scientist / Machine Learning Engineer Position Overview As a Data Scientist / Machine Learning ... Develop reusable feature engineering, scoring, and analytical components that support multiple ...

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All JobsData Analyst Data Scientist JobsData Analyst Data Scientist Jobs in Minnesota

Data Analyst Data Scientist information

See Minnesota salary details

$45.1K

$161.6K

$238.5K

How much do data analyst data scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data analyst 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 data analyst or data scientist?

To thrive as a Data Analyst or Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, machine learning frameworks, and data visualization platforms such as Tableau or Power BI is essential, along with relevant certifications. Excellent problem-solving, communication, and critical thinking skills help translate data insights into actionable business strategies. These skills and qualities are important because they enable professionals to extract meaningful insights from complex data, driving informed decision-making and organizational success.

What are some common challenges data analyst data scientists face when collaborating with cross-functional teams?

Data Analyst Data Scientists often work closely with stakeholders from various departments, such as marketing, product, and engineering. A common challenge is translating complex data findings into actionable insights that non-technical team members can easily understand. Additionally, aligning on project goals and managing expectations regarding timelines and data availability can require strong communication and project management skills. Building relationships and fostering open dialogue are key to ensuring successful collaboration and impactful data-driven decision-making.

What is the difference between Data Analyst Data Scientist vs Data Engineer?

AspectData AnalystData ScientistData Engineer
CredentialsBachelor's in Analytics, Statistics, or related fieldsBachelor's/Master's in Computer Science, Statistics, or related fieldsBachelor's/Master's in Computer Engineering, Software Engineering, or related fields
Work EnvironmentBusiness intelligence teams, reporting, data visualizationAdvanced analytics, machine learning, predictive modelingData infrastructure, pipelines, database management
Industry UsageCommon in finance, marketing, healthcareUsed in research, product development, AI projectsIntegral to data infrastructure across industries

Data Analysts focus on interpreting data and creating reports, while Data Scientists develop models and algorithms. Data Engineers build and maintain the data infrastructure that supports both roles. Understanding these differences helps organizations assign the right tasks to the right professionals.

What are popular job titles related to Data Analyst Data Scientist jobs in Minnesota?

For Data Analyst Data Scientist jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Data Analyst Data Scientist jobs in Minnesota look for?

The top searched job categories for Data Analyst Data Scientist jobs in Minnesota are:

What cities in Minnesota are hiring for Data Analyst Data Scientist jobs?

Cities in Minnesota with the most Data Analyst Data Scientist job openings:

Data Analyst Data Scientist jobs near you
Infographic showing various Data Analyst Data Scientist job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $161,621 per year, or $77.7 per hour.

Data Scientist

Elder Research Inc.

Virginia, MN • On-site

$95 - $130/hr

Other

Re-posted 19 hours ago

Key responsibilities

  • Lead the development, training, and maintenance of predictive models using advanced analytical methods such as time series forecasting and NLP.

  • Engage in requirements gathering and data analysis to connect business use cases with underlying data patterns, and define solutions for ambiguous problems.

  • Utilize data engineering skills to integrate, deploy, and troubleshoot analytical solutions, ensuring scalability and operational reliability.

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.

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