ZipRecruiter

Log In

1

New Grad Data Scientist Jobs in Minnesota (NOW HIRING)

Elder Research Inc.

Data Scientist

Virginia, MN · On-site

$100 - $125/hr

Hybrid Time Type: Full time Data Scientist - Hybrid (Raleigh, NC or Washington DC) Elder Research ... Willingness to learn new tools/techniques. Preferred Qualifications * Familiarity with AWS Cloud ...

Dlapiper

Data Scientist

Minneapolis, MN · On-site +1

Assesses the effectiveness and accuracy of new data sources and data gathering techniques ... Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural ...

Avalore, LLC

Data Scientist

Virginia, MN · On-site

$125 - $150/hr

This person will stay current with advances in data science techniques, evaluate new algorithms and approaches for potential adoption, and mentor junior data scientists. This person will ensure ...

US Bank

Data Scientist

Minneapolis, MN · On-site

Try new things, learn new skills and discover what you excel at-all from Day One. At U.S. Bank, w ... We're looking for a Data Scientist who is passionate about solving complex business problems ...

U.S. Bank

Data Scientist

Minneapolis, MN · On-site

$105 - $124/hr

Try new things, learn new skills and discover what you excel at--all from Day One. At U.S. Bank, w ... We're looking for a Data Scientist who is passionate about solving complex business problems ...

Mortenson

Data Scientist

Minneapolis, MN · On-site

$92K - $138K/yr

Design new approaches and methodologies, ideally using AI & ML algorithms when appropriate * Review ... Minimum of 1-4 years of experience in data science * Proficiency with data mining, predictive ...

General Mills

Senior Data Scientist

Minneapolis, MN · On-site +1

$110K - $184K/yr

... new perspectives and reimagine new possibilities, every day. We look for people who want to bring ... We are hiring a Senior Data Scientist to help shape the next generation of advanced analytics and ...

RELX

Data Scientist

Minneapolis, MN · On-site

$77K - $128K/yr

... new opportunities. It's a fast-paced, problem-solving environment where each day brings fresh ... About the Role: We're seeking a Data Scientist to lead predictive modeling and statistical analysis ...

On-Demand Group

Sr. Data Scientist

Minneapolis, MN · On-site

You'''''ll partner closely with data engineers, business stakeholders, and fellow data scientists to improve model performance, identify new opportunities, and help shape the future direction of our ...

Vantive

Data Scientist - Sciences

Oakdale, MN

The Data Scientist will be responsible for supporting the Global R&D Sciences team to design ... Devising new approaches to complex problems through adaptations and modifications of standard ...

Vantive

Data Scientist - Sciences

Oakdale, MN · On-site

The Data Scientist will be responsible for supporting the Global R&D Sciences team to design ... Devising new approaches to complex problems through adaptations and modifications of standard ...

Entegris

Senior Data Scientist

Chaska, MN · On-site

Senior Data Scientist The Role We are seeking a Senior Data Scientist to lead the design ... We leverage the differences of our employees tobring new ideas to the table. Every employee ...

DeFiner Inc

Employ structured approaches to leveraging large data sets to uncover new insights. * Collaborate ... science solutions. * Present and defend results to leadership audiences, both technical and non ...

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 ... The role will integrate new relationships around the company, new data sources, and new methods ...

next page

Showing results 1-20

All JobsNew Grad Data Scientist JobsNew Grad Data Scientist Jobs in Minnesota

New Grad Data Scientist information

See Minnesota salary details

$36.7K

$120.2K

$192.5K

How much do new grad data scientist jobs pay per year?

As of Sep 8, 2026, the average yearly pay for new grad 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 is a new grad data scientist?

New Grad Data Scientists are recent graduates who have completed a degree in a related field such as computer science, statistics, mathematics, or engineering, and have started their careers in data science. They apply statistical analysis, machine learning, and data visualization techniques to help organizations make data-driven decisions. Typically, new grads in these roles work closely with experienced data scientists, learning best practices and gaining practical experience while contributing to real-world projects. Employers generally expect them to have experience with programming languages like Python or R, and familiarity with data analysis tools and concepts.

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

To thrive as a New Grad Data Scientist, you need a solid background in statistics, mathematics, and programming—typically with a degree in a relevant field such as computer science or data science. Familiarity with tools and languages like Python, R, SQL, and experience with machine learning frameworks or data visualization platforms is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you interpret data and convey insights to stakeholders. These competencies are crucial for transforming data into actionable business solutions and contributing to data-driven decision-making.

What are some common challenges new grad data scientists face when transitioning from academia to industry?

New grad data scientists often find that real-world data is messier and less structured than academic datasets, requiring strong data cleaning and wrangling skills. Additionally, they may need to adapt to working within cross-functional teams, collaborating closely with engineers, product managers, and business stakeholders to align their analyses with organizational goals. Prioritizing impactful projects under tight deadlines and communicating complex findings in a clear, actionable manner are also key challenges. Building these practical skills early can significantly accelerate both learning and career advancement.

What is the difference between New Grad Data Scientist vs Data Analyst?

AspectNew Grad Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Employer & Industry UsageUsed across industries for predictive modeling and researchUsed for reporting, data visualization, and descriptive analysis

New Grad Data Scientists typically focus on building models and advanced analytics, requiring knowledge of programming and machine learning. Data Analysts mainly handle data reporting and visualization, often using tools like Excel and SQL. Both roles are entry-level but differ in technical depth and project scope, with Data Scientists often engaging in more complex data modeling tasks.

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

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

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

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

What cities in Minnesota are hiring for New Grad Data Scientist jobs?

Cities in Minnesota with the most New Grad Data Scientist job openings:

New Grad Data Scientist jobs near you
Infographic showing various New Grad Data Scientist job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 9% Part Time, and 6% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote 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

$100 - $125/hr

Other

Re-posted 3 days 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.

#J-18808-Ljbffr

Apply