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Remote Data Protection Jobs in Michigan (NOW HIRING)

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ... protected veteran status. In the United States, If you need a reasonable accommodation for the ...

Detroit Tigers

Cloud Data Engineer

Detroit, MI · On-site +1

$113.40K - $136.10K/yr

The location may be based in Detroit or fully remote. * Occasional evening, weekend, and holiday ... any other characteristic protected by law. The Company will strive to provide reasonable ...

Dart Container

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 ... status, protected veteran status, or any other characteristic protected by law. If you have a ...

Maximus

AI/ML Software Developer

Rochester Hills, MI · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data protection, and Responsible AI policies - Supports system accreditation, documentation ...

Maximus

AI/ML Software Developer

Allendale, MI · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data protection, and Responsible AI policies - Supports system accreditation, documentation ...

Maximus

AI/ML Software Developer

Grand Rapids, MI · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data protection, and Responsible AI policies - Supports system accreditation, documentation ...

Maximus

AI/ML Software Developer

Mount Pleasant, MI · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data protection, and Responsible AI policies - Supports system accreditation, documentation ...

Maximus

AI/ML Software Developer

Detroit, MI · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data protection, and Responsible AI policies - Supports system accreditation, documentation ...

Maximus

AI/ML Software Developer

Lansing, MI · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data protection, and Responsible AI policies - Supports system accreditation, documentation ...

Maximus

AI/ML Software Developer

Ann Arbor, MI · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data protection, and Responsible AI policies - Supports system accreditation, documentation ...

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$20.6K

$88K

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How much do remote data protection jobs pay per year?

As of May 30, 2026, the average yearly pay for remote data protection in Michigan is $87,988.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,177.00 and $116,797.00 per year, depending on experience, location, and employer.

What is a Remote Data Protection job?

A Remote Data Protection job involves securing and managing sensitive digital information for organizations while working remotely. Responsibilities typically include implementing encryption protocols, monitoring for security threats, ensuring compliance with data privacy regulations, and developing disaster recovery plans. Professionals in this role work with cybersecurity tools to prevent data breaches and unauthorized access. Strong knowledge of data security frameworks and cloud protection strategies is often required.

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

To thrive in Remote Data Protection, you need a solid understanding of data privacy laws, risk management, and cybersecurity principles, typically supported by a degree in computer science, information security, or a related field. Familiarity with security frameworks, encryption tools, DLP (Data Loss Prevention) solutions, and certifications such as CISSP, CISM, or GDPR compliance are highly valued. Strong analytical thinking, attention to detail, and effective remote communication are essential soft skills for this role. Mastering these competencies ensures sensitive information remains secure and regulatory requirements are met in a distributed environment.

What are some typical challenges faced in a Remote Data Protection role?

Professionals in Remote Data Protection often encounter challenges related to securing a distributed workforce, ensuring compliance with varied international regulations, and quickly addressing emerging security threats. Working remotely can mean managing security for diverse endpoints and collaborating across different time zones or teams. Staying current with evolving data privacy laws and adapting to new technologies are key ongoing tasks. Employers value candidates who can proactively identify vulnerabilities and implement robust protection measures while maintaining strong communication with non-technical colleagues.
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Remote Data Protection jobs near you
Data Scientist

Data Scientist

Ford Motor Company

Dearborn, MI • Remote

Full-time

Medical, Dental, Vision, Life, PTO

Posted 14 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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