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Remote Data Scientist Graduate Jobs in Michigan (NOW HIRING)

Implement formal modeling processes from end to end including data gathering, data profiling ... Or Graduate degree in statistics, mathematics, actuarial science or related area and 3 years ...

Senior Data Engineer

Southfield, MI · Remote

$97K - $132K/yr

This position provides the opportunity to work remote. Job Duties * Builds and maintains Azure data ... Bachelor's Degree in Computer or Data Science, Data Analytics, Statistics, or Information ...

Senior Data Engineer

Southfield, MI · Remote

$97K - $132K/yr

This position provides the opportunity to work remote. Job Duties * Builds and maintains Azure data ... Bachelor's Degree in Computer or Data Science, Data Analytics, Statistics, or Information ...

Principal Data Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

Partner closely with data science leads and cross-functional teams to surface dependencies and constraints early and prioritize improvements that unlock productivity * Run a lightweight but effective ...

Nurse Practitioner: Remote Urgent Care

Detroit, MI · Remote

$109K - $151K/yr

Belle uses cutting edge data science to identify those most in need on behalf of health plans and ... As these issues arise, a team of remote nurses coordinate care with other healthcare providers ...

... Data Science, Technology, Actuarial, Legal, and Compliance - the Product Manager III envisions ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

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Remote Data Scientist Graduate information

What is the difference between Remote Data Scientist Graduate vs Remote Data Analyst Graduate?

AspectRemote Data Scientist GraduateRemote Data Analyst Graduate
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; programming skills in Python/RBachelor's in Data Analysis, Statistics, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative teams, research-focused projects, advanced analyticsReporting, data cleaning, basic analysis, business insights
Employer & Industry UsageTech companies, finance, healthcare, research institutionsRetail, marketing, finance, consulting firms

The main difference between a Remote Data Scientist Graduate and a Remote Data Analyst Graduate lies in the complexity of tasks and required skills. Data Scientists typically handle advanced modeling and machine learning, requiring stronger programming and statistical expertise. Data Analysts focus on data cleaning, reporting, and basic analysis. Both roles are in high demand across various industries, but Data Scientists often work on more complex projects and require more specialized credentials.

What are the most commonly searched types of Data Scientist Graduate jobs in Michigan? The most popular types of Data Scientist Graduate jobs in Michigan are:
What are popular job titles related to Remote Data Scientist Graduate jobs in Michigan? For Remote Data Scientist Graduate jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Data Scientist Graduate jobs in Michigan look for? The top searched job categories for Remote Data Scientist Graduate jobs in Michigan are:
What cities in Michigan are hiring for Remote Data Scientist Graduate jobs? Cities in Michigan with the most Remote Data Scientist Graduate job openings:
Data Engineering Manager

Data Engineering Manager

Hastings Mutual Insurance Company

Hastings, MI • On-site, Remote

Full-time

Retirement, PTO

Posted 13 days ago


Job description

Lead the engineering, integration, and architecture behind our enterprise data ecosystem.

Hastings Insurance is seeking a Data Engineering Manager to join our Information Technology team. In this leadership role, you will oversee the design, development, and operational management of enterprise data solutions that support business operations, reporting, analytics, and strategic decision-making across the organization.

Leading a team of data engineering and warehousing professionals, you will guide the development of enterprise data pipelines, integration processes, data warehousing environments, and data architecture practices that ensure reliable, scalable, and secure access to critical business information. This role combines technical leadership, people leadership, and cross-functional collaboration to strengthen the data foundation that supports our business.

As advanced analytics and data science functions are led within our Actuarial & Risk Management group, this position is primarily focused on data engineering, data warehousing, enterprise integration, and data architecture.

Location & Schedule:
  • This is a full-time position working Monday through Friday, 8:00 a.m. to 4:30 p.m.
  • The role may be performed onsite at our Hastings, Michigan headquarters or in a hybrid arrangement. We may also consider remote candidates who reside in one of our operating states: Michigan, Ohio, Indiana, Illinois, or Wisconsin.
  • Candidates working remotely should expect periodic travel to Hastings throughout the year for meetings, collaboration, and business needs.
What You’ll Do:
  • Lead, coach, and develop a team responsible for enterprise data engineering, data warehousing, and data integration solutions.
  • Oversee the design, development, deployment, and maintenance of enterprise data pipelines and data warehousing environments.
  • Ensure reliable movement, transformation, and delivery of data from systems of record into centralized data platforms.
  • Guide data architecture, data modeling, and integration practices that support secure, scalable, and maintainable solutions.
  • Partner with IT engineering, architecture, business stakeholders, and data owners to align data solutions with organizational needs.
  • Promote data governance standards, data quality practices, and consistency across enterprise data assets.
  • Support the development and maintenance of enterprise reporting and business intelligence data structures.
  • Develop and manage maintenance schedules for data warehousing and business intelligence platforms.
  • Evaluate emerging technologies and recommend solutions that improve reliability, scalability, performance, and cost effectiveness.
  • Support vendor evaluations, contract discussions, and third-party data service relationships.
  • Collaborate with leaders across the organization to identify opportunities to improve data accessibility, consistency, and operational efficiency.
  • Stay informed on trends affecting both enterprise data environments and the Property & Casualty insurance industry.
Additional Role Highlights:
  • Technical leadership role with direct influence over enterprise data engineering and data architecture initiatives.
  • Opportunity to help shape the future direction of Hastings' enterprise data environment.
  • Strong partnership with IT engineering, architecture, business analytics, and operational leaders.
  • Visibility across all levels of the organization, including executive leadership.
  • Balance of strategic planning, technical leadership, and people leadership responsibilities.
What You’ll Bring:
  • Bachelor's degree in Information Technology, Business, Economics, or a related field, or equivalent experience.
  • 10+ years of progressive experience supporting enterprise data solutions, data engineering initiatives, data warehousing environments, or business data flows.
  • Experience leading, mentoring, or developing technical teams.
  • Demonstrated expertise in ETL design, development, and implementation.
  • Strong understanding of data warehousing concepts, data integration, and enterprise data architecture principles.
  • Experience working with relational databases and enterprise data environments.
  • Working knowledge of project phases and general project management concepts.
  • Experience across multiple computing environments, including mainframe, client-server, and internet-based platforms.
  • Excellent written, verbal, and interpersonal communication skills.
  • Proficiency with Microsoft Office tools.
  • Ability to exercise sound judgment, maintain confidentiality, and operate effectively in complex, time-sensitive environments.
Preferred Qualifications:
  • Experience within the Property & Casualty insurance industry.
  • Experience supporting enterprise data warehouse or business intelligence environments.
  • Familiarity with SQL Server, ETL tools, data modeling, and enterprise integration solutions.
  • Experience working with both legacy and modern data platforms.
About Us:

At Hastings Insurance, we are a trusted partner to our agents, policyholders, and the communities we serve. For more than 135 years, we have helped individuals, families, and businesses protect what matters most and rebuild after loss. We are proud to be rated A (Excellent) by A.M. Best Company, reflecting our financial strength and long-term stability.

While our history is strong, our focus is forward. We invest in technology, strengthen partnerships with independent agents, and continuously refine our products to meet the evolving needs of today’s customers. Our strategy centers on responsible growth, expanding our reach while remaining agile, disciplined, and service-driven.

Our people make that possible. Hastings employees thrive in a down-to-earth, collaborative environment that values initiative, accountability, and steady progress. We offer a competitive benefits package that includes a 401(k) with company matching contributions, generous vacation and sick leave, fully paid tuition and professional development reimbursement, and incentive compensation bonus opportunities. At Hastings, your work matters and your growth is supported.

Our Commitment as an Employer:

We believe diverse perspectives strengthen our organization and drive better outcomes. We are committed to building an inclusive workplace where every employee feels respected, supported, and empowered to contribute.

We are proud to be an equal opportunity employer. Employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, appearance, disability, veteran status, family status, marital status, or any other legally protected characteristic.

We are also committed to providing an accessible and welcoming experience for all candidates. If you require accommodation during the application or interview process, please contact our Talent Acquisition team at 800-442-8277.