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New Grad Data Scientist Jobs in Michigan (NOW HIRING)

Data Scientist

Okemos, MI · Hybrid

  • Medical

  • Dental

Leads the team incorporating new Data Science techniques to enhance the organization's best practices. * Applies machine learning algorithms and predictive models to solve complex business challenges.

Data Scientist

Okemos, MI · On-site

  • Medical

  • Dental

Leads the team incorporating new Data Science techniques to enhance the organization's best practices. * Applies machine learning algorithms and predictive models to solve complex business challenges.

Data Scientist

Okemos, MI · On-site

$110 - $140/hr

  • Medical

  • Dental

Leads the team incorporating new Data Science techniques to enhance the organization's best practices. * Applies machine learning algorithms and predictive models to solve complex business challenges.

Data Scientist

Ann Arbor, MI · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Create and maintain modeling best practices and new techniques in coordination with internal and ... Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or ...

Data Scientist

Dearborn, MI · On-site

$85K - $192K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

As a Data Scientist at Ford, you will serve as a domain expert in at least one core data science ... Will your career be a deep dive into what you love, or a series of new teams and new skills? Will ...

Data Scientist

Dearborn, MI

$85K - $192K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

As a Data Scientist at Ford, you will serve as a domain expert in at least one core data science ... Will your career be a deep dive into what you love, or a series of new teams and new skills? Will ...

Data Scientist

Dearborn, MI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

... skilled Data Scientist. This role will be responsible to join the RAV (Re-Acquired Vehicle ... new car sales, and macro environment, among other contributing sources * Support root cause ...

As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature ... Write new functions or applications to conduct analyses * Partner with machine learning engineers ...

As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature ... Write new functions or applications to conduct analyses * Partner with machine learning engineers ...

Data Scientist

Lansing, MI · On-site

  • Retirement

  • PTO

Design, prototype, and implement new approaches for solving problems. * Collaborate with a cross ... Experience with common data science toolkits, such as R, Python, TensorFlow, SQL, Scikit-learn ...

Data Scientist

Dearborn, MI · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

The Senior Data Scientist will design and implement advanced systems that support cross-domain ... Will your career be a deep dive into what you love, or a series of new teams and new skills? Will ...

Data Scientist

Dearborn, MI

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Will your career be a deep dive into what you love, or a series of new teams and new skills? Will ... other data scientists to test data and model pipelines, validate pipeline output, and ensure ...

Data Scientist

Lansing, MI · On-site

  • Retirement

  • PTO

Design, prototype, and implement new approaches for solving problems. * Collaborate with a cross ... Experience with common data science toolkits, such as R, Python, TensorFlow, SQL, Scikit-learn ...

Data Scientist

Ann Arbor, MI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Drive new store openings in our domestic and largest international markets by transforming large ... Qualifications Years Of Experience 1 to 3 years of professional experience in data science or ...

Data Scientist

Ann Arbor, MI

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Drive new store openings in our domestic and largest international markets by transforming large ... Qualifications Years Of Experience 1 to 3 years of professional experience in data science or ...

Data Scientist

Dearborn, MI · On-site +1

$107K - $182K/yr

  • Medical

  • Dental

  • Life

  • PTO

Will your career be a deep dive into what you love, or a series of new teams and new skills? Will ... Data Scientist - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a ...

Data Scientist

Ann Arbor, MI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Drive new store openings in our domestic and largest international markets by transforming large ... Qualifications Years Of Experience 1 to 3 years of professional experience in data science or ...

Leads the research and development of new technologies and best practices within the industry to ... Leads data science projects from end-to-end, collaborating with cross-functional stakeholders ...

Leads the research and development of new technologies and best practices within the industry to ... Leads data science projects from end-to-end, collaborating with cross-functional stakeholders ...

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Showing results 1-20

New Grad Data Scientist information

See Michigan salary details

$32.7K

$107K

$171.3K

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

As of Aug 12, 2026, the average yearly pay for new grad data scientist in Michigan is $106,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $118,500.00 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 cities in Michigan are hiring for New Grad Data Scientist jobs? Cities in Michigan with the most New Grad Data Scientist job openings:
Infographic showing various New Grad Data Scientist job openings in Michigan as of August 2026, with employment types broken down into 76% Full Time, 6% Part Time, and 18% Contract. Highlights an 100% In-person job distribution, with an average salary of $106,978 per year, or $51.4 per hour.

Full-time

Medical, Dental

Re-posted 21 days ago


Job description

Job Title:

Data Scientist

Number of Positions:

1

Location:

Okemos, MI

Location Specifics:

Hybrid Position

Job Summary:

At Delta Dental of Michigan, Ohio, and Indiana we work to improve oral health through benefit plans, advocacy and community support, and we amplify this mission by investing in initiatives that build healthy, smart, vibrant communities. We are one of the largest dental plan administrators in the country, and are part of the Delta Dental Plans Association, which operates two of the largest dental networks in the nation.


At Delta Dental, we celebrate our All In culture. It's a mindset, feeling and attitude we wrap around all that we do - from taking charge of our careers, to helping colleagues and lending a hand in the community.

Position Description:

To implement quantitative and predictive models, data science experiments using literate programming techniques such as Python Jupyter Notebooks, develop appropriate visualizations of data, curate and prepare data using appropriate programmatic and non-programmatic data transformation techniques, continuously learn new techniques and methods to improve data science outcomes.

Primary Job Responsibilities:

  • Develops and implements advanced statistical models using casual modelling, machine learning and optimization techniques.
  • Leads the team incorporating new Data Science techniques to enhance the organization's best practices.
  • Applies machine learning algorithms and predictive models to solve complex business challenges.
  • Designs and conducts data-driven experiments to validate findings and hypotheses.
  • Communicates insights and results to senior stakeholders and decision-makers.
  • Develops innovative approaches to data collection and validation, incorporating both structured and unstructured data sources.

Perform other related assigned duties as necessary to complete the Primary Job Responsibilities as described above.

#LI-Hybrid

Minimum Requirements:

Position requires a bachelor's degree in Computer Science, Mathematics, Statistics, or other quantitative field with a master's degree in Data Science, Business Analytics, Health Informatics, or related field preferred, and three years of experience working extensively with data. Knowledge of health or dental insurance, or of dental clinical practice preferred.

Position requires experience in statistical modeling methods, machine learning algorithms, supervised and unsupervised learning, and data mining techniques; proficiency with statistical software packages like SAS, R, or equivalent preferred; experience with programming languages, especially Python and SQL, or equivalent;
excellent communication skills and the ability to clearly and concisely communicate complex information to a variety of audiences, both technical and non-technical; the ability to collaborate in a team.

The company will provide equal employment and advancement opportunity within the context of its unique business environment without regard to race, color, religion, gender, gender identity, gender expression, age, national origin, familial status, citizenship, genetic information, disability, sex, sexual orientation, marital status, pregnancy, height, weight, military status, or any other status protected under federal, state, or local law or ordinance.