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Remote Data Optimization 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 ... Remote #LI-DS2 SG7-8 * Design, develop, and maintain Python-based optimization models to support ...

CIBC

Data Security Consultant

Three Rivers, MI · On-site +1

$130K - $150K/yr

At CIBC we enable the work environment most optimal for you to thrive in your role you'll have the ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

CIBC US

Data Security Consultant

Three Rivers, MI · On-site +1

$130K - $150K/yr

At CIBC we enable the work environment most optimal for you to thrive in your role you'll have the ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

CIBC US

$130K - $150K/yr

At CIBC we enable the work environment most optimal for you to thrive in your role you'll have the ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

CIBC

$130K - $150K/yr

At CIBC we enable the work environment most optimal for you to thrive in your role you'll have the ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

Stryker

Senior Staff Data Engineer

Portage, MI · On-site +1

$153K - $255K/yr

Remote Join a team focused on building scalable, enterprise-grade data platforms that support ... Drive platform decisions related to performance optimization, scalability, and cost efficiency.

EnthuZiastic

Growth Hacker - Remote

Berrien Springs, MI · Remote

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

EnthuZiastic

Growth Hacker - Remote

Mount Pleasant, MI · Remote

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

EnthuZiastic

Growth Hacker - Remote

Grand Rapids, MI · Remote

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

EnthuZiastic

Growth Hacker - Remote

Allendale, MI · Remote

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

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Remote Data Optimization information

What is a remote data optimization specialist?

A Remote Data Optimization specialist is a professional who works remotely to analyze, refine, and improve data systems and processes for organizations. Their main goal is to enhance the efficiency, accuracy, and usability of data, often by cleaning datasets, streamlining data flows, and implementing best practices for data management. They may use various tools and techniques to ensure data integrity and improve how data is stored, accessed, and utilized. These specialists often collaborate with data analysts, engineers, and business teams to support data-driven decision-making.

What are the key skills and qualifications needed to thrive as a remote data optimization specialist?

To excel as a Remote Data Optimization Specialist, you need a solid background in data analysis, strong proficiency in statistics, and experience with optimization techniques, typically supported by a degree in data science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), programming languages (such as Python or R), and database systems is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies are vital for translating complex data into actionable insights and driving efficiency improvements from a remote environment.

What are some common challenges faced by professionals in remote data optimization roles, and how can they be addressed?

Remote data optimization professionals often encounter challenges such as coordinating with distributed teams, ensuring data accuracy across different systems, and managing time effectively without in-person supervision. To address these, it's important to establish clear communication channels, use collaborative tools for data sharing and project tracking, and set regular check-ins with team members. Additionally, staying updated on best practices and automation tools can help streamline workflows and enhance data quality, making remote work more efficient and productive.

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

AspectRemote Data OptimizationRemote Data Analyst
Primary FocusImproving data storage, retrieval, and processing efficiencyAnalyzing data to identify trends and generate reports
Required SkillsData management, database tuning, scriptingData analysis, visualization, statistical skills
CertificationsDatabase certifications, data management credentialsData analysis certifications, SQL proficiency
Work EnvironmentTechnical teams, IT departments, data warehousesBusiness units, marketing, finance teams

Remote Data Optimization specialists focus on enhancing data systems' performance, while Remote Data Analysts interpret data to support decision-making. Both roles require strong technical skills, but their core responsibilities differ significantly, making them distinct career paths within data management and analysis.

What are remote data optimization jobs?

Remote data optimization jobs involve analyzing and improving the efficiency, accuracy, and accessibility of data within an organization. These roles often require skills in data management, database tools, and programming languages like SQL or Python, and may involve tasks such as data cleaning, structuring, and implementing data storage solutions from a remote work environment.

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

The most popular types of Data Optimization jobs in Michigan are:

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

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

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

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

Remote Data Optimization jobs near you
Infographic showing various Remote Data Optimization job openings in Michigan as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 10% Part Time, and 6% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Data Scientist

Dearborn, MI • Remote

Ford Motor Company
Motor Vehicle Manufacturing • 10K+ employees
Learn more about Ford Motor Companyexternal

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 2 days ago

Ford Motor Company rating

7.6

Company rating: 7.6 out of 10

Based on 530 frontline employees who took The Breakroom Quiz

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.

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