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Remote Scientist Jobs in Michigan (NOW HIRING)

CSAA

... Remote Your Role ... This Data Scientist role offers the opportunity to help CSAA Insurance Group anticipate and prepare ...

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

The Senior Data Scientist will design and implement advanced systems that support cross-domain ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

Abaxis

Scientist/Senior Scientist

Portage, MI · On-site +1

$85K - $117K/yr

The scientist will also evaluate and introduce new capabilities and technologies to strengthen the organization's formulation and delivery platform. The selected individual is expected to bring ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site +1

$66K - $186K/yr

Bachelor's degree or foreign equivalent in Computer Science, Data Science or a related field and 6 months of experience in the job offered or a related occupation. 6 months of experience with each of ...

Munich Re

Data Scientist, AI

Ann Arbor, MI · On-site +1

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

Lorven Technologies

OpCon Admin - Remote

Southfield, MI · On-site +1

Bachelor's degree preferably in Computer Science, Information technology, Computer Engineering, or related IT discipline or equivalent experience with 12+ Minimum Experience * 2+ years of experience ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site +1

$107K - $182K/yr

Master's degree or foreign equivalent in Industrial and Operations Engineering, Computer Science, Systems Engineering, Manufacturing Engineering or a related field and 3 years of experience in the ...

Ford Motor Company

Analytics Scientist

Dearborn, MI · On-site +1

$140K - $182K/yr

Bachelor's degree or foreign equivalent in Computer Science, Computer Engineering, or a related field and 5 years of progressive, post-baccalaureate experience in the job offered or a related ...

Ford Motor Company

Analytics Scientist

Dearborn, MI · On-site +1

$130K - $169K/yr

Master's degree or foreign equivalent in Computer Science, Statistics, Biostatistics, Mathematics, Economics, Operational Research, Physics, Computer Engineering or a related field and 3 years of ...

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Remote Scientist information

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$72.8K

$110.7K

$149K

How much do remote scientist jobs pay per year?

As of Jul 19, 2026, the average yearly pay for remote scientist in Michigan is $110,720.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,000.00 and $125,100.00 per year, depending on experience, location, and employer.

How can I make 2000 a week working from home?

A remote scientist can earn $2,000 a week by taking on multiple consulting projects, freelance research assignments, or specialized contract roles that pay high hourly or project-based rates. Building expertise in in-demand areas like data analysis, laboratory techniques, or scientific writing, along with strong communication skills and relevant certifications, can help secure higher-paying opportunities in a remote setting.

What jobs pay 500,000 a year in the US?

Remote scientists, especially those in specialized fields like pharmaceuticals, biotechnology, or data science with advanced expertise, can reach or exceed a $500,000 annual salary through senior roles, consulting, or leadership positions. High earnings often require advanced degrees, extensive experience, and skills in areas such as machine learning, bioinformatics, or scientific management.

What is a Remote Scientist job?

A Remote Scientist is a professional who conducts scientific research, analysis, and experiments while working remotely, often using digital tools and virtual collaboration platforms. They may work in various fields, including environmental science, data science, biotechnology, and engineering. Remote Scientists communicate their findings through reports, presentations, or virtual meetings with colleagues and stakeholders. This role requires strong problem-solving skills, self-discipline, and proficiency in using remote research tools.

What does a typical workday look like for a Remote Scientist?

A typical day for a Remote Scientist often involves analyzing datasets, designing experiments or simulations, collaborating with team members via video calls or shared digital platforms, and preparing reports or presentations. Depending on their specialization, they may spend time running remote experiments, writing scientific papers, or contributing to grant proposals. While much of the work is independent, regular virtual meetings are held to ensure alignment with projects and to discuss research progress. This structure allows Remote Scientists to balance focused research time with teamwork and ongoing professional development.

Is 40 too late to become a scientist?

A remote scientist role can be pursued at any age, as many scientific careers value experience, skills, and continuous learning. While some positions may require advanced degrees or specialized training, individuals can start new scientific careers later in life by gaining relevant education, certifications, and practical experience.

How can I make $100,000 a year working from home?

A remote scientist can reach a $100,000 annual income by gaining specialized expertise in high-demand fields such as data analysis, bioinformatics, or environmental science, often requiring advanced degrees and certifications. Building a strong professional network, publishing research, and leveraging freelance consulting or contract work can also increase earning potential while working remotely.

What are the key skills and qualifications needed to thrive in the Remote Scientist position, and why are they important?

To thrive as a Remote Scientist, you need a strong grounding in scientific research methods, data analysis, and a relevant advanced degree such as a Master's or Ph.D. Tools like statistical software (e.g., R, Python), laboratory management systems, and secure data-sharing platforms are frequently used, along with certifications in specialized areas if required. Exceptional written and verbal communication, self-motivation, and organizational skills are essential for effectively collaborating within remote teams and managing independent projects. These abilities ensure remote scientists maintain high research standards, deliver impactful findings, and successfully bridge the gap between virtual collaboration and tangible scientific progress.

What are the most commonly searched types of Scientist jobs in Michigan? The most popular types of Scientist jobs in Michigan are:
What are popular job titles related to Remote Scientist jobs in Michigan? For Remote Scientist jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Scientist jobs in Michigan look for? The top searched job categories for Remote Scientist jobs in Michigan are:
What cities in Michigan are hiring for Remote Scientist jobs? Cities in Michigan with the most Remote Scientist job openings:
Remote Scientist jobs near you
Infographic showing various Remote Scientist job openings in Michigan as of July 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 40% Physical, 3% Hybrid, and 57% Remote job distribution, with an average salary of $110,720 per year, or $53.2 per hour.

Principal Data Scientist (Remote)

Accident Fund Holdings, Inc.

Lansing, MI • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description


SUMMARY
AF Group is seeking a Principal Data Scientist with expertise in either Commercial Property or Personal Homeowners insurance to serve as an individual contributor and technical authority on applying advanced analytics and machine learning to complex business problems, including pricing, risk selection, and other underwriting challenges. This role owns the end-to-end analytical lifecycle, from problem formulation and model development through deployment, monitoring, and governance. Partners closely with Actuarial, MLOps, and IT to deliver scalable, production-ready solutions. The Principal Data Scientist ensures long-term model performance through rigorous validation, drift monitoring, and audit-ready documentation, while advancing analytical best practices and evaluating emerging techniques relevant to commercial P&C insurance.
RESPONSIBILITIES/TASKS:
  • Acquires, organizes, and cleanses structured and unstructured data.
  • Conducts in-depth analysis to uncover trends, risks, and business opportunities.
  • Applies statistical modeling, machine learning, and advanced analytics to develop predictive and prescriptive solutions.
  • Evaluate solution performance using statistically rigorous methods and measure the impact to business outcomes.
  • Collaborate with MLOps and IT partners to transition solution prototypes from pilot validation into production environments.
  • Ensures ongoing model health through post-deployment monitoring, drift detection, and audit-compliant governance practices.
  • Creates and communicates results to senior level audiences of varying backgrounds, using business-facing presentations, reports, and dashboards.
  • Author and maintain comprehensive technical documentation for data lineage, codebases, results, and production changes.
  • Provides technical and project guidance, including peer review of work, for data science team.
  • Leads the evaluation of new analytic tools and processes.
  • Drives investigation and adoption of advanced machine learning and AI innovations.

EDUCATION:
Bachelor's Degree in Data Science, Statistics, Mathematics, Operations Research, Actuarial Science, Computer Science, Engineering, Physics or related technical field required. Advanced degree preferred.
EXPERIENCE:
10 years of experience in data science or related advanced analytics domains, including research and teaching, with 3+ years of technical leadership.
REQUIRED SKILLS/KNOWLEDGE/ABILITIES
  • 3+ years of experience supporting underwriting functions, including loss modeling, for Commercial Property (preferred) or Personal Homeowners insurance.
  • Demonstrated expertise using Poisson, Gamma, and Tweedie distributions to build loss ratio, pure premium, and frequency-severity loss models for pricing.
  • Extensive experience leveraging supervised learning models (e.g., XGBoost, GLM, etc.) and unsupervised techniques (e.g., K-means, PCA, etc.) to solve complex data science problems.
  • Advanced Python programming skills supporting data science, including scikit-learn and pandas.
  • Proficient data wrangling and ETL abilities using SQL on relational databases.
  • Comfortable explaining machine learning models with partial dependence plots and SHAP values.
  • Ability to conduct experiments e.g., A/B Testing, to evaluate the causal impact of model-driven decisions.
  • Experience using version control tools such as Git and Azure DevOps.
  • Experience working in cloud computing environments such as Azure, AWS, GCP, etc.

PREFERRED SKILLS/KNOWLEDGE/ABILITIES
  • Experience supporting at least one other commercial or personal line outside of Property lines.
  • In-depth understanding of General Liability (aka Casualty), Workers Compensation, or Commercial Vehicle insurance.
  • Knowledge of actuarial concepts and terminology used in pricing and ratemaking.
  • Experience with Claims, Marketing, or Operations functions within P&C insurance settings.
  • Ability to develop Agentic AI solutions to drive autonomous decision-making and task orchestration.
  • Familiarity with causal modeling techniques such as Meta-learners, Causal Forest, Double ML, etc.
  • Knowledge of advanced neural net architectures like LSTM, CNN, Transformers, Graph NN, etc.
  • Understanding of NLP concepts such as topic modeling, Word2Vec, sentiment analysis, OCR, etc.
  • Experience programming in the R language.
  • Ability to build interactive dashboards using frameworks such as Plotly Dash, Power BI, Flask, etc.

ADDITIONAL INFORMATION:
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. This job description does not constitute a contract for employment.
PAY RANGE:
"Actual compensation decision relies on the consideration of internal equity, candidate's skills and professional experience, geographic location, market and other potential factors. It is not standard practice for an offer to be at or near the top of the range, and therefore a reasonable estimate for this role is between $137,900 and $231,000."
We are an Equal Opportunity Employer. We will not tolerate discrimination or harassment in any form. Candidates for the position stated above are hired on an "at will" basis. Nothing herein is intended to create a contract.
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