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Data Scientist Project Manager Jobs in Michigan (NOW HIRING)

Mentor junior data scientists and team members. Required Technical Skills: * FCAS required ... Manage projects and direct work of more junior team members. * Six (6) or more years of data ...

Data Scientist

Detroit, MI ยท On-site

$120 - $170/hr

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy ... Familiarity with Master Data Management (MDM) concepts and how they apply to data quality and ...

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy ... Familiarity with Master Data Management (MDM) concepts and how they apply to data quality and ...

Conduct analyses to address ad hoc requests of ongoing project work. Assist in developing the ... Ability to work under general supervision while managing multiple routine tasks. * Familiarity with ...

Data Scientist

Dearborn, MI ยท On-site

$85K - $192K/yr

... management leases Tuition assistance Established and active employee resource groups Paid time off ... for projects. * Mentor others across the team on advanced DS topics and contribute to Ford ...

Conduct analyses to address ad hoc requests of ongoing project work. Assist in developing the ... Ability to work under general supervision while managing multiple routine tasks. * Familiarity with ...

Conduct analyses to address ad hoc requests of ongoing project work. Assist in developing the ... Ability to work under general supervision while managing multiple routine tasks. * Familiarity with ...

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy ... Familiarity with Master Data Management (MDM) concepts and how they apply to data quality and ...

Conduct analyses to address ad hoc requests of ongoing project work. Assist in developing the ... Ability to work under general supervision while managing multiple routine tasks. * Familiarity with ...

Master's degree in Statistics, Econometrics, Data Science, or related field * 2+ years of ... Have excellent time management skills and be able to handle working on multiple projects at the ...

The Senior Data Scientist will design and implement advanced systems that support cross-domain ... management leases Tuition assistance Established and active employee resource groups Paid time off ...

Data Scientist

Dearborn, MI ยท On-site

$85K - $143K/yr

Master's degree in Statistics, Econometrics, Data Science, or related field 2+ years of experience ... management skills and be able to handle working on multiple projects at the same time Be able to ...

Data Scientist

Dearborn, MI ยท On-site

$115K - $192K/yr

Master's degree in Statistics, Econometrics, Data Science, or related field * 2+ years of ... Have excellent time management skills and be able to handle working on multiple projects at the ...

... SQL for querying, managing, and optimizing relational databases. 3. Applying mathematical ... Data Scientist - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a ...

Showing results 41-60

Data Scientist Project Manager information

What is a data scientist project manager?

A Data Scientist Project Manager is a professional who oversees data science projects from conception through completion, ensuring that project goals align with business objectives. They bridge the gap between data science teams and stakeholders, managing timelines, resources, and communication. In addition to technical knowledge in data science and analytics, they possess strong project management skills to coordinate tasks, mitigate risks, and deliver results. Their role is essential for translating complex data-driven insights into actionable business strategies. They often use methodologies like Agile or Scrum to guide project workflows and adapt to changing requirements.

What are the key skills and qualifications needed to thrive as a data scientist project manager?

To thrive as a Data Scientist Project Manager, you need a solid background in data science, analytics, and project management, often supported by degrees in computer science, statistics, or business and certifications like PMP or Agile. Familiarity with tools such as Python, R, SQL, project management software (e.g., Jira, Trello), and cloud platforms is crucial. Excellent communication, leadership, and problem-solving abilities help bridge gaps between technical teams and stakeholders. These skills ensure successful project delivery by aligning data-driven insights with business objectives and effective team coordination.

How do data scientist project managers typically balance technical data work with project management responsibilities?

Data Scientist Project Managers often split their time between hands-on data analysis and overseeing project progress. They commonly coordinate with cross-functional teams, set project timelines, and ensure that data solutions align with business objectives while occasionally contributing code or analytical insights. Effective communication and time management are essential, as they must bridge the gap between technical teams and stakeholders. This dual responsibility offers exposure to both technical growth and leadership development, making it ideal for professionals seeking advancement into higher management roles.

What is the difference between Data Scientist Project Manager vs Data Analyst Project Manager?

AspectData Scientist Project ManagerData Analyst Project Manager
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related fields; certifications like PMP or AgileBachelor's in Data Analysis, Business, or related fields; certifications like PMP or Agile
Work EnvironmentLeads data science projects, collaborates with data scientists and engineersManages data analysis projects, works with analysts and business teams
Employer & Industry UsageTech companies, finance, healthcare, industries with advanced analyticsRetail, marketing, finance, industries relying on data reporting

The main difference is that Data Scientist Project Managers oversee data science initiatives involving complex modeling and algorithms, while Data Analyst Project Managers focus on managing data reporting and analysis projects. Both roles require project management skills and relevant certifications, but their technical focus and team collaboration differ.

Can a data scientist become a project manager?

A data scientist can transition to a project manager role by developing skills in leadership, communication, and project planning, often supported by certifications like PMP or Agile. Their technical expertise can be valuable in managing data-driven projects, but they typically need to gain experience in managing teams and project workflows.

What are popular job titles related to Data Scientist Project Manager jobs in Michigan?

For Data Scientist Project Manager jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Data Scientist Project Manager jobs in Michigan look for?

The top searched job categories for Data Scientist Project Manager jobs in Michigan are:

What cities in Michigan are hiring for Data Scientist Project Manager jobs?

Cities in Michigan with the most Data Scientist Project Manager job openings:

Infographic showing various Data Scientist Project Manager job openings in Michigan as of August 2026, with employment types broken down into 82% Full Time, 13% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Actuarial Data Scientist (FCAS)

Munich Re

Gaylord, MI โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

We are looking for an FCAS to join the American Modern Predictive Analytics team as a Principal Data Scientist and play a key leadership role in advancing pricing model strategy.

American Modern Insurance Group, Inc., a Munich Re company, is a widely recognized specialty insurance leader that delivers products and services for residential property - such as manufactured homes and specialty dwellings - and the recreational market, including boats, personal watercraft, classic cars, and more. We provide specialty product solutions that cover what the competition often can't. We write admitted products in all 50 states and have a premium volume of $2.2 billion.

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part ofย Munich Re's Global Specialty Insuranceย division. Our employees receive boundless opportunity to grow their careers and make a difference every day - all in a flexible environment that helps them succeed both at work and at home.

As a senior technical leader, you will drive the end-to-end development, enhancement, maintenance, and monitoring of personal lines pricing models. This role is highly visible and influential. While it does not include direct people management, it requires strong technical modeling skills, ownership of regulatory filings and objections, and mentorship of junior data scientists and analysts. As you grow in this role, the opportunity will extend beyond pricing, enabling you to contribute to broader predictive and decision science initiatives that support long-term enterprise strategy.

Purpose:

Use data and statistical analysis to drive business decisions and target improved results across various functional areas.

Roles & Responsibilities:

  • Lead pricing model strategy for a subset of products.
  • Develop, deploy, monitor, and maintain predictive models.
  • Effectively collaborate with stakeholders.
  • Manage filing schedules for aligned products.
  • Prepare and complete predictive analytics analysis and modeling with general guidance on very complex projects.
  • Participate in the development of predictive analytics and modeling presentations and present results/topics to customers (internal & external) and management as requested.
  • Concentrate on loosely defined problems which require application of creative approaches. Contribute to projects that yield actionable insights the business can use to increase customer satisfaction, policy growth, retention, and profitability.
  • Complete required data preparation, including data input with guidance. Identify data anomalies and seek guidance on necessary adjustments.
  • Identify data and operational issues requiring specialized analytics attention, data scrubbing, and modeling techniques.
  • Document and communicate assumptions, results, and alternatives to team members and internal customers with guidance. Communicate with regulators when called upon to support rate filings or modeling practices in general.
  • Create and maintain modeling best practices and new techniques in coordination with internal and external business partners.
  • Explain advanced analytic and modeling procedures in the language that audiences with no predictive analytics training can easily find connections to. Understand customers' requests and hidden issues and explain possible solutions in their language.
  • Schedule and prioritize workload demands. Maintain very good organization skills. Complete technical peer reviews as needed.
  • Maintain strong interpersonal skills - listen deeply, ask correct questions, take notes, complete professional oral and written business communications (including email communications), presentations, and build business relationships in order to better understand insurance company processes and functions. Established relationships with multiple areas of interaction.
  • Mentor junior data scientists and team members.

Required Technical Skills:

  • FCAS required.
  • Experience in multiple programming languages, including R and Python.
  • Deep understanding of GLMs and GBMs.
  • Familiarity with AI and machine learning concepts, including supervised and unsupervised learning, deep learning, and natural language processing.
  • Experience with Databricks or similar big data platforms is highly desirable.
  • Strong understanding of data structures, algorithms, and software design patterns.
  • Experience working in an agile team environment, with familiarity with Scrum or Kanban methodologies.
  • Strong commitment to testing, validation, and continuous improvement of models and workflows.
  • Proven experience with project management and prioritization.

Skills / Knowledge / Experience:

  • Independently build models and statistical analyses.
  • Effectively communicate results to business partners and help drive business decisions.
  • Participate in creation and discussion of best practices and propose new techniques.
  • Manage projects and direct work of more junior team members.
  • Six (6) or more years of data science/predictive analytics experience in insurance or eight (8+) or more years predictive modeling experience in another industry.

Education, Certifications & Designations:

  • Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and Economics double major, or Statistics/Math and Computer Science double major or Statistics/Math and Operation Research double major.ย 

We are proud to offer our employees, their domestic partners, and their children, a wide range of insurance benefits:

  • Two options for your health insurance plan (PPO or High Deductible)
  • Supplemental Life and AD&D plans that you can purchase for yourself and dependents (includes spouse/domestic partner and children)
  • Voluntary Benefit plans that supplement your health and life insurance plans (Accident, Critical Illness and Hospital Indemnity)
  • Prescription drug coverage (included in your health insurance plan)
  • Short and Long Term Disability coverage
  • Vision and dental insurance plans

In addition to the above insurance offerings, our employees also enjoy:

  • A robust 401k plan with up to a 5% employer match
  • A retirement savings plan that is 100% company funded
  • Paid time off that begins with 24 days each year, with more days added when you celebrate milestone service anniversaries
  • Eligibility to receive a yearly bonus as a Munich Re employee
  • A variety of health and wellness programs provided at no cost
  • A hybrid environment that gives you a choice in where and how you get work done
  • A corporately subsidized on-site cafeteria as well as a We Proudly Serve coffee shop
  • An on-site complimentary workout facility as well as walking trails on campus grounds
  • On-site wellness center complete with nurse practitioner
  • Financial assistance for adoptions and infertility treatment
  • Paid time off for eligible family care needs
  • Tuition assistance and educational achievement bonuses
  • Free parking
  • A corporate matching gifts program that further enhances your charitable donation
  • Paid time off to volunteer in your community

At American Modern, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services. ย 

We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Sometimes we are fortunate enough to receive a high volume of applications. After reviewing all applications, we will contact only the selected candidates to schedule an interview.ย  We are grateful for all candidates and their interest.

Applicants requiring employer sponsorship of a visa will not be considered for this position.

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