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Python Data Scientist Jobs in Detroit, MI (NOW HIRING)

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

The Senior Data Scientist will design and implement advanced systems that support cross-domain ... Developing and maintaining Python-based optimization models to support demand elasticity ...

Stellantis

Data Scientist

Auburn Hills, MI · On-site

Data scientists work closely with data engineers, analysts, and business teams to design analytics ... Proficiency in Python and SQL * Hands-on experience with big data and cloud platforms such as ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

We are seeking an experienced data scientist with a strong focus on building and maintaining ... Python, or Go * 2+ year experience with database systems (SQL, NoSQL), API design (REST/GraphQL ...

Ford Motor Company

Data Scientist

Dearborn, MI

We are seeking an experienced data scientist with a strong focus on building and maintaining ... Python, or Go * 2+ year experience with database systems (SQL, NoSQL), API design (REST/GraphQL ...

Faurecia

Data Scientist

Auburn Hills, MI · On-site

... Python programming language and deep learning frameworks such as PyTorch and TensorFlow to ... data science, machine learning, deep learning, and AI technologies, and apply this knowledge to ...

Deloitte

Data Scientist

Detroit, MI

... Python or R. * 5+ Years of Experience with Strong knowledge of machine learning techniques and ... As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on ...

Rocket

Data Scientist

Detroit, MI · On-site

As a Data Scientist, you will be responsible for performing exploratory data analysis, feature ... in Python and at least one strongly typed language (e.g., C++, Java, etc.) • 3 years of ...

Centraprise Corp

Data Scientist

Auburn Hills, MI

... Python and SQL • Experience with ML libraries such as Scikit-learn, XGBoost, TensorFlow, or ... Data Science & Analytics • Perform EDA to identify trends, patterns, anomalies, and key business ...

Denso

Data Scientist 2

Southfield, MI · On-site

$90K - $113K/yr

Proficiency in Python and SQL; experience with R or Java a plus. * Experience working with large-scale datasets, databases, and distributed data processing environments. * Hands-on experience with ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site +1

$107K - $182K/yr

Utilize Python, SQL, and machine learning, alongside experience with cloud platforms, including ... Data Scientist - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a ...

Denso

Data Scientist 2

Southfield, MI

$90K - $113K/yr

Proficiency in Python and SQL; experience with R or Java a plus. * Experience working with large-scale datasets, databases, and distributed data processing environments. * Hands-on experience with ...

Rocket Limited Partnership

Data Scientist

Detroit, MI · On-site

As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature ... Python and at least one strongly typed language (e.g., C++, Java, etc.) * 3 years of experience ...

Rock Connections

Data Scientist

Detroit, MI

As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature ... Python and at least one strongly typed language (e.g., C++, Java, etc.) * 3 years of experience ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

$107K - $186K/yr

Data Scientist - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a ... in Python using at least 2 of the following: NLTK, spaCy, Gensim, or HuggingFace. 2. Implementing ...

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All JobsPython Data Scientist JobsPython Data Scientist Jobs in Detroit, MI

Python Data Scientist information

See Detroit, MI salary details

$37.1K

$121.5K

$194.5K

How much do python data scientist jobs pay per year?

As of Jun 11, 2026, the average yearly pay for python data scientist in Detroit, MI is $121,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $134,600.00 per year, depending on experience, location, and employer.

What does a data scientist do with Python?

A data scientist uses Python to analyze data, build models, and create visualizations. They often utilize libraries like pandas, scikit-learn, and TensorFlow to extract insights and develop predictive algorithms, making Python a key tool in their workflow.

What is the difference between Python Data Scientist vs Data Analyst?

AspectPython Data ScientistData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, basic statistics, data visualization
CertificationsData Science certifications, Python programming coursesData analysis or business intelligence certifications
Work EnvironmentData science teams, R&D, predictive modeling projectsBusiness units, reporting, data visualization tasks
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Python Data Scientists focus on building predictive models and advanced analytics using Python, while Data Analysts primarily interpret data through visualization and reporting. Both roles require strong analytical skills, but Python Data Scientists typically have more programming and machine learning expertise, making them suitable for complex data projects.

What are some common challenges faced by Python Data Scientists when working with large datasets?

Python Data Scientists often encounter challenges related to processing and analyzing large datasets, such as memory limitations and slow computation times. To address these, professionals typically use libraries like Pandas, Dask, or PySpark to optimize data handling and leverage parallel computing. Collaborating closely with data engineers and IT teams can also help in setting up efficient data pipelines and scalable infrastructure. Staying updated with best practices in data preprocessing and model optimization is crucial for managing these challenges effectively.

How much do Python data scientists make?

Python data scientists typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in machine learning and big data tools can earn higher salaries, often exceeding $150,000.

What is a Python Data Scientist?

A Python Data Scientist is a professional who uses Python programming language and its data analysis libraries to extract insights from large datasets. They apply statistical techniques, machine learning algorithms, and data visualization tools to solve business problems and make data-driven decisions. Python Data Scientists often work with tools like pandas, NumPy, scikit-learn, and Jupyter notebooks to manipulate data and build predictive models. Their role typically involves collecting, cleaning, analyzing, and interpreting complex data to help organizations make informed decisions.

Is 40 too late for data science?

Age is not a barrier to becoming a Python Data Scientist. Many professionals transition into data science later in their careers by acquiring relevant skills such as Python, machine learning, and data analysis, often through online courses or certifications. Success depends on your ability to learn, adapt, and build a strong portfolio of projects regardless of age.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to optimize model performance and efficiency.

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

To thrive as a Python Data Scientist, you need strong analytical skills, a solid understanding of statistics, machine learning, and proficiency in Python programming, typically backed by a degree in computer science or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and version control systems like Git is essential. Problem-solving, curiosity, and effective communication are standout soft skills for this role. These abilities are crucial for extracting actionable insights from data, building predictive models, and collaborating across multidisciplinary teams.
What are popular job titles related to Python Data Scientist jobs in Detroit, MI? For Python Data Scientist jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Python Data Scientist jobs in Detroit, MI look for? The top searched job categories for Python Data Scientist jobs in Detroit, MI are:
Python Data Scientist jobs near you
Infographic showing various Python Data Scientist job openings in Detroit, MI as of June 2026, with employment types broken down into 54% Full Time, 33% Part Time, and 13% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $121,507 per year, or $58.4 per hour.
Data Scientist

Data Scientist

Ford Motor Company

Dearborn, MI • Remote

Full-time

Medical, Dental, Vision, Life, PTO

Posted 27 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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