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Remote Data Scientist Finance Jobs in Michigan (NOW HIRING)

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 ...

CSAA

This Data Scientist role offers the opportunity to help CSAA Insurance Group anticipate and prepare ... Lead cross-functional MLOps projects in insurance or financial services * Experience with ...

Vervint

Director of Data Intelligence

Grand Rapids, MI · On-site +1

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the ... Lead cross-functional alignment on data and AI initiatives across Sales, Practices, Finance, and ...

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Remote Data Scientist Finance information

What does a remote data scientist in finance do?

A Remote Data Scientist in Finance analyzes large financial datasets to uncover trends, create predictive models, and support decision-making from a distance, usually working from home or another remote location. They use statistical methods, machine learning, and programming to identify insights that can help financial institutions manage risk, detect fraud, optimize investments, and improve operations. Their work often involves collaborating with other teams virtually, presenting findings, and ensuring data-driven strategies align with business goals.

How do remote data scientists in finance typically collaborate with cross-functional teams?

Remote data scientists in finance regularly work with teams such as risk management, engineering, and business analysts using digital collaboration tools. Communication is often structured through virtual meetings, shared dashboards, and project management platforms to ensure everyone stays aligned on data-driven goals. Strong documentation practices and proactive communication are essential in a distributed environment to clarify requirements and share insights. This collaborative approach helps ensure that models and analyses are actionable and meet the needs of various stakeholders.

What are the key skills and qualifications needed to thrive as a remote data scientist in finance, and why are they important?

To thrive as a Remote Data Scientist in Finance, you need strong statistical analysis, programming (Python or R), and financial domain knowledge, often supported by a degree in data science, finance, or a related field. Familiarity with machine learning frameworks, SQL databases, and data visualization tools like Tableau or Power BI is typically required. Excellent problem-solving, self-motivation, and clear communication are standout soft skills for remote collaboration and translating insights to stakeholders. These skills and qualities are crucial for extracting actionable insights from complex financial data, driving informed decision-making, and succeeding in a remote work environment.

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

AspectRemote Data Scientist FinanceRemote Data Analyst Finance
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/R; knowledge of financeBachelor's in Finance, Economics, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentAdvanced analytics, modeling, machine learning projects in financeData reporting, trend analysis, and basic visualization in finance
Employer & Industry UsageFinancial institutions, fintech companies, investment firmsBanking, investment firms, financial services

Remote Data Scientist Finance roles focus on developing predictive models and advanced analytics, requiring programming and statistical expertise. Remote Data Analysts Finance primarily handle data reporting and basic analysis. Both roles are vital in finance but differ in complexity and skill requirements.

What are the most commonly searched types of Data Scientist Finance jobs in Michigan?

The most popular types of Data Scientist Finance jobs in Michigan are:

What are popular job titles related to Remote Data Scientist Finance jobs in Michigan?

For Remote Data Scientist Finance jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Data Scientist Finance jobs in Michigan look for?

The top searched job categories for Remote Data Scientist Finance jobs in Michigan are:

What cities in Michigan are hiring for Remote Data Scientist Finance jobs?

Cities in Michigan with the most Remote Data Scientist Finance job openings:

Remote Data Scientist Finance jobs near you
Infographic showing various Remote Data Scientist Finance job openings in Michigan as of August 2026, with employment types broken down into 70% Full Time, 14% Part Time, and 16% Contract. Highlights an 100% Remote job distribution.

Data Scientist

Ford Motor Company

Dearborn, MI • Remote

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 10 days ago

Job description

The Senior Data Scientist will design and implement advanced systems that support cross-domain manufacturing analytics. This role operates at the intersection of optimization, enterprise data integration, and applied analytics to enable data-driven decision-making across complex business workflows.

Key responsibilities include:

  • Developing and maintaining Python-based optimization models to support demand elasticity, production planning, and constraint-based decision frameworks.

  • Integrating heterogeneous enterprise datasets into structured, analysis-ready pipelines using BigQuery, GCS, and Python.

  • Performing data reconciliation, fuzzy matching, and standardization across inconsistent source systems to ensure data quality and analytical integrity.

  • Designing and deploying lightweight internal applications (e.g., Dash-based tools) and contributing to containerized deployments to enable business-facing access to decision models.

  • Collaborating with cross-functional stakeholders to translate business questions into optimization and analytical frameworks.

In addition, this role will contribute to the development of semantically aligned data structures by supporting feature definition consistency, cross-system mapping, and ontology-informed modeling approaches. The candidate will help ensure that analytical outputs are built on clearly defined entities, relationships, and assumptions to enable scalable reasoning and reuse across domains.

The ideal candidate combines strong technical modeling capability with practical enterprise data engineering experience and the ability to operate effectively in ambiguous, cross-functional environments.

  • Bachelor's degree in Data Science, Engineering, Mathematics, Computer Science, Operations Research, or equivalent field.

  • 3+ years of experience developing analytical or optimization models in Python.

  • Experience building and maintaining data pipelines using SQL and cloud-based data platforms (e.g., BigQuery, GCS).

  • Strong proficiency in Python for data analysis and modeling (e.g., pandas, NumPy, Pyomo or similar optimization libraries).

  • Experience integrating and standardizing heterogeneous enterprise datasets.

  • Familiarity with containerization concepts (e.g., Docker) and deploying lightweight applications or services in a cloud environment.

  • Ability to translate business problems into structured analytical frameworks.

  • Strong written and verbal communication skills with experience working cross-functionally.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
Immediate medical, dental, vision and prescription drug coverage
Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
Vehicle discount program for employees and family members and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year's Day
Paid time off and the option to purchase additional vacation time.
 
For a detailed look at our benefits, click here: Benefit Summary
 
 
This role is remote but if you live within 50 miles within Dearborn, MI, you will be required on-site 4x a week.
 
*Visa Sponsorship IS provided for this specific role*
*Relocation assistance IS provided for this specific role*
 
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
 
#LI-Remote
#LI-DS2 
 
SG7-8

  • Design, develop, and maintain Python-based optimization models to support demand elasticity, production planning, and constraint-based decision systems.

  • Translate complex business problems into structured analytical and optimization frameworks.

  • Build and maintain data pipelines using BigQuery, GCS, and Python to integrate heterogeneous enterprise data sources.

  • Perform data reconciliation, fuzzy matching, and standardization across inconsistent datasets to ensure analytical integrity.

  • Develop lightweight internal applications (e.g., Dash or streamlit) to operationalize analytical outputs for business users.

  • Contribute to containerized deployments to support scalable and maintainable delivery of decision tools.

  • Partner with cross-functional stakeholders to define requirements and validate outputs.

  • Support semantic alignment across systems by contributing to feature definition consistency, cross-system mapping, and ontology-informed data structures.

  • Document modeling assumptions, data transformations, and system dependencies to enable reproducibility and reuse.

  • Continuously improve model performance, data quality, and deployment efficiency across decision systems.

Ford logo

About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982

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