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Remote Data Science Jobs in Michigan (NOW HIRING)

Product Manager-Sr. Specialist

Dearborn, MI · On-site +1

$116.40K - $153.70K/yr

... remote for non-local candidates. #LI-Hybrid #LI-Remote Responsibilities What you'll do... Define ... Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent practical ...

We are open to remote work in the following approved states: Colorado, Florida, Georgia, Illinois ... Bachelor's Degree in Data Analytics, Mathematics, Statistics, Computer Science or related field or ...

Product Manager-Sr. Specialist

Dearborn, MI · On-site +1

$132.80K - $250.80K/yr

... Remote You'll have... * Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent practical experience. * 8+ years of experience in technical product management, with a track ...

Python MLOps Engineer

Lansing, MI · Remote

$65 - $75/hr

Remote Reference ID: JN -052026-106781 Date Posted: 05/05/2026 Shortcut: * Description ... This work enables the senior data scientist to concentrate on model development while you drive ...

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 ...

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

$135K - $195K/yr

You work closely with Product, Engineering, Data Science, UX, and Client Success teams to ... Achieve work-life balance through remote-first working conditions, generous time off, and wellness ...

Associate Data Engineer

Mason, MI · On-site +1

$14 - $18.25/hr

On-site role | No relocation or remote work available This role is not eligible for visa ... Bachelor's degree (or in progress) in Computer Science, Information Technology, or a related field

Analytics Scientist

Dearborn, MI · On-site +1

$130.88K - $169.54K/yr

Master's degree or foreign equivalent in Computer Science, Statistics, Biostatistics, Mathematics ... Extract data from various data sources and platforms (big data platform, GCP, PC, Mainframe, Unix ...

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Showing results 1-20

Remote Data Science information

See Michigan salary details

$20.6K

$91.8K

$175.2K

How much do remote data science jobs pay per year?

As of Jun 1, 2026, the average yearly pay for remote data science in Michigan is $91,804.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,421.00 and $127,335.00 per year, depending on experience, location, and employer.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

What are the key skills and qualifications needed to thrive as a Remote Data Scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What is the difference between Remote Data Science vs Remote Data Analyst?

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

What are the most commonly searched types of Data Science jobs in Michigan? The most popular types of Data Science jobs in Michigan are:
What are popular job titles related to Remote Data Science jobs in Michigan? For Remote Data Science jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Remote Data Science jobs? Cities in Michigan with the most Remote Data Science job openings:
Infographic showing various Remote Data Science job openings in Michigan as of May 2026, with employment types broken down into 67% Full Time, 26% Part Time, 2% Temporary, and 5% Contract. Highlights an 36% Physical, 3% Hybrid, and 61% Remote job distribution, with an average salary of $91,804 per year, or $44.1 per hour.
Data Engineering Manager (Data Warehouse / ETL)

Data Engineering Manager (Data Warehouse / ETL)

Hastings Mutual Insurance Company

Hastings, MI • On-site, Remote

Full-time

Retirement, PTO

Posted 25 days ago


Job description

Shape how data becomes insight across our business.

Hastings Insurance is seeking a Data Engineering Manager to join our Information Technology team. This role leads the design, development, and operational oversight of enterprise data pipelines, warehousing platforms, and systems-of-record integrations. Serving as a hands-on technical manager, this position ensures reliable ingestion, transformation, modeling, and storage of data that supports downstream reporting and business decision-making while aligning with governance standards and enterprise architecture priorities.

As advanced analytics and data science functions are led within our Actuarial & Risk Management group, this role will focus on engineering, warehousing, and enterprise data infrastructure.

Location & Schedule:

This is a full-time position working Monday through Friday, 8:00 a.m. to 4:30 p.m. The role offers flexibility and may be performed onsite in Hastings, in a hybrid format, or fully remote. For remote arrangements, we strongly prefer candidates who reside in Michigan, Ohio, Indiana, Illinois, or Wisconsin, though additional states may be considered based on business needs.

What You’ll Do:
  • Lead and develop data engineering and warehousing teams, including staffing, performance management, coaching, and professional growth.
  • Oversee the design, development, and maintenance of enterprise data pipelines and warehousing environments aligned to architecture standards.
  • Ensure reliable integration of data from core systems of record into centralized data platforms.
  • Guide data modeling, transformation, and storage practices that support secure, scalable enterprise data solutions.
  • Collaborate with IT engineering, architecture, and business stakeholders to support downstream analytics and reporting needs.
  • Ensure adherence to data governance standards through collaboration with data owners and process leaders.
  • Develop and manage maintenance schedules for data platforms and warehousing systems.
  • Evaluate emerging data technologies and recommend solutions that enhance reliability, scalability, and cost effectiveness.
  • Support vendor evaluations, contract negotiations, and management of third-party data service providers.
  • Stay informed on trends impacting Property and Casualty insurers and enterprise data environments.
Additional Role Highlights:
  • Enterprise technical leadership role with direct responsibility for data engineering and warehousing operations.
  • Working manager position with hands-on influence over data pipelines and platform reliability.
  • Strong partnership across IT and business teams to ensure trusted enterprise data.
  • Opportunity to strengthen and evolve core data infrastructure supporting the organization.
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 data analysis initiatives, business data flows, or data engineering environments, including experience leading or mentoring technical teams.
  • Strong understanding of Property and Casualty insurance operations and information needs preferred. 
  • Demonstrated expertise in ETL design, development, and implementation.
  • 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.
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.