ZipRecruiter

Log In

1

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

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

We are seeking an experienced data scientist with a strong focus on building and maintaining sophisticated full-stack applications. The successful candidate will possess a proven track record of ...

Ford Motor Company

Data Scientist

Dearborn, MI

We are seeking an experienced data scientist with a strong focus on building and maintaining sophisticated full-stack applications. The successful candidate will possess a proven track record of ...

Stellantis

Data Scientist

Auburn Hills, MI · On-site

Data scientists work closely with data engineers, analysts, and business teams to design analytics ... Hands-on experience with big data and cloud platforms such as Databricks, Snowflake or Spark

Geologics

Data Scientist

Sterling Heights, MI · Hybrid

$52 - $62/hr

Role: Data Scientist Client: Top Aerospace and Defense company Location: Sterling Heights, MI ... Experience developing requirements for collection of and follow on use of data to inform the ...

Geologics

Data Scientist

Sterling Heights, MI · Hybrid

$52 - $62/hr

Role: Data Scientist Client: Top Aerospace and Defense company Location: Sterling Heights, MI ... Experience developing requirements for collection of and follow on use of data to inform the ...

Stellantis

Data Scientist

Auburn Hills, MI · On-site

Required : • Bachelor's degree in a quantitative discipline (e.g., Statistics, Economics or other quantitative field) • Minimum of 5 years of experience in data science, econometrics or a related ...

Judge Group, Inc.

Data Scientist

Sterling Heights, MI

$57 - $58/hr

Experience with structured problem solving techniques Knowledge of technical requirements and ... Bachelor's Degree in Data Management, Data Science, Math 6 years Responsible for designing ...

Rocket Limited Partnership

Data Scientist

Detroit, MI · On-site

Mentor and train associate data scientists About you * 3 years of experience working with large data sets in one or more of the following environments - Hadoop, AWS, Azure or GCP * 3 years of ...

Rock Connections

Data Scientist

Detroit, MI

Mentor and train associate data scientists About you * 3 years of experience working with large data sets in one or more of the following environments - Hadoop, AWS, Azure or GCP * 3 years of ...

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

The Senior Data Scientist will design and implement advanced systems that support cross-domain ... Experience building and maintaining data pipelines using SQL and cloud-based data platforms (e.g ...

Faurecia

Data Scientist

Auburn Hills, MI · On-site

Forvia, a sustainable mobility technology leader We pioneer technology for mobility experience that matter to people. Your mission, roles and responsibilities Role Summary As a Data Scientist ...

Advantasure, Inc.

Data Scientist

Detroit, MI · On-site

Demonstrated experience establishing and enforcing team-level generative AI guidelines, including ... Bachelor's degree in Business, Data Science, Statistics, Economics, Engineering, Computer Science ...

Faurecia

Data Scientist

Auburn Hills, MI

Forvia, a sustainable mobility technology leader We pioneer technology for mobility experience that matter to people. Your mission, roles and responsibilities Role Summary As a Data Scientist ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site +1

$107.85K - $182.34K/yr

You may not check every box, or your experience may look a little different from what we've ... Data Scientist - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a ...

next page

Showing results 1-20

People also search for

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

Experienced Data Scientist information

See Detroit, MI salary details

$42.1K

$151K

$222.8K

How much do experienced data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for experienced data scientist in Detroit, MI is $150,990.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,200.00 and $155,500.00 per year, depending on experience, location, and employer.

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

To thrive as an Experienced Data Scientist, you need advanced statistical analysis, machine learning expertise, strong programming skills (often in Python or R), and a relevant degree in computer science, mathematics, or a related field. Familiarity with tools like TensorFlow, scikit-learn, SQL, and cloud platforms, as well as certifications in data science or analytics, are commonly expected. Outstanding problem-solving, communication skills, and business acumen help you translate complex data insights into actionable strategies. These skills are essential for delivering impactful solutions and driving data-informed decision-making within organizations.

What are some typical challenges an experienced data scientist faces when working on cross-functional teams?

Experienced data scientists often collaborate with cross-functional teams, such as product managers, engineers, and business analysts. A common challenge in this environment is effectively communicating complex analytical findings in a way that is actionable for non-technical stakeholders. Additionally, aligning data science objectives with broader business goals and navigating differing priorities can require strong negotiation and project management skills. Overcoming these challenges is key to ensuring that data-driven insights are not only understood but also implemented to drive impact.

What are experienced data scientists?

Experienced data scientists are professionals who have a strong background in data analysis, statistical modeling, and machine learning, typically with several years of industry experience. They use advanced analytical techniques to extract insights from complex data sets, helping organizations make data-driven decisions. In addition to technical skills, they often possess domain expertise, strong problem-solving abilities, and experience in communicating their findings to both technical and non-technical stakeholders. Their work may involve designing experiments, building predictive models, and deploying machine learning solutions in production environments.

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

AspectExperienced Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; often certifications in machine learning or data analysisBachelor's degree in Statistics, Mathematics, or related fields; certifications are optional
Work EnvironmentDevelops models, algorithms, and predictive analytics; works on complex data projectsPrepares reports, visualizations, and performs data cleaning and basic analysis
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and business intelligence

In summary, an Experienced Data Scientist typically handles advanced analytics, machine learning, and predictive modeling, requiring more technical skills and higher education. Data Analysts focus on data cleaning, reporting, and visualization, often with less emphasis on complex modeling. Both roles are essential but differ in scope and technical depth.

What are popular job titles related to Experienced Data Scientist jobs in Detroit, MI? For Experienced Data Scientist jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Experienced Data Scientist jobs in Detroit, MI look for? The top searched job categories for Experienced Data Scientist jobs in Detroit, MI are:
Experienced Data Scientist jobs near you
Data Scientist

Data Scientist

Ford Motor Company

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 12 days ago

Job description

Job Description
We are looking for a Data Scientist with exceptional skills in Machine Learning (ML) and Artificial Intelligence (AI). We are seeking an experienced data scientist with a strong focus on building and maintaining sophisticated full-stack applications. The successful candidate will possess a proven track record of designing, developing, and deploying successful innovative Generative AI (GenAI) software solutions. This role requires a proven communicator who effectively interfaces between technical and business teams, translating complex AI capabilities and technical insights into actionable business value.
Responsibilities
What you'll do...
  • Architect, develop, and deploy end-to-end agentic full-stack Generative AI (GenAI) applications that solve complex real-world problems, with a specific focus on improving engineering challenges and inefficiencies.
  • Design and implement robust, scalable data science and Machine Learning Operations (MLOps) pipelines primarily within cloud environments like Google Cloud Platform (GCP) and Amazon Web Services (AWS), ensuring efficient deployment and maintenance of AI solutions.
  • Lead the integration of new cloud technologies and AI tools (e.g., Vertex AI) into our workflows, continuously evaluating their potential and articulating their business value to drive innovation and efficiency.
  • Develop intuitive and responsive front-end user interfaces that enable seamless interaction with agentic AI systems and effectively translate complex outputs into actionable insights.
  • Acquire a deep understanding of vehicle engineering problems, translating them into appropriate mathematical representations and AI/ML solutions (classification, prediction, intelligent automation).
  • Ensure the overall quality and integrity of data and solutions throughout the development lifecycle, from data collection and cleaning to model deployment

Qualifications
You'll have...
  • Bachelor's degree in Computer Science & Engineering, related field or equivalent combination of relevant education and experience
  • 3+ years of experience building full-stack applications in production environments, with proficiency in Data Science, JavaScript/TypeScript, React, HTML and backend frameworks including Next.js, Node.js, Python, or Go
  • 2+ year experience with database systems (SQL, NoSQL), API design (REST/GraphQL) and building scalable API services using frameworks such as Flask or FastAPI
  • 2+ year experience deploying and maintaining applications in cloud-native environments (e.g., AWS, Azure, GCP)
  • 2+ years of hands-on experience designing and building agentic workflows using modern AI frameworks and platforms, specifically LangChain, LangGraph, Google Agent Development Kit (ADK), and Google Vertex AI
  • Experience with Context Engineering and utilizing the Model Context Protocol (MCP) to securely and seamlessly connect AI models with enterprise data sources, APIs, and development environments
  • Experience implementing AI Evaluation frameworks (e.g., RAGEval) to systematically measure, benchmark, and ensure the quality, safety, and relevance of LLM outputs in production
  • 2+ year experience working with DevOps tools (Docker, Kubernetes, Terraform, etc.)
  • Leveraging and integrating GCP cloud-based AI tools like Vertex AI into production systems
  • A strong passion for evaluating, championing, and integrating new technologies and tools, particularly within GCP, into existing workflows, with the ability to clearly articulate and justify their business value and impact
  • Exceptional collaboration skills, with the ability to effectively interface between technical development teams and business stakeholders, understanding and navigating both IT and business constraints
  • Comfortable working in ambiguous environments where problems are not always well-defined, and solutions require innovative thinking

Even better, you may have...
  • Master's degree in Computer Science & Engineering, related field or equivalent combination of relevant education and experience
  • 5+ years of Python development experience, specifically for:
  • Advanced data manipulation and analysis using libraries such as Pandas.
  • 3+ years of experience in Machine Learning model development, including Natural Language Processing (NLP), utilizing deep learning frameworks (PyTorch, TensorFlow, Keras), and leveraging open-source model ecosystems like Hugging Face
  • 3+ years of hands-on experience developing and deploying solutions on major cloud platforms, including Google Cloud Platform (GCP) or Amazon Web Services (AWS).
  • Advanced experience with LLMOps, MLOps, and AIOps, including managing the end-to-end lifecycle, continuous evaluation, fine-tuning, and monitoring of Large Language Models in enterprise environments
  • 3+ years of Front-End Development experience using modern web technologies like React, JavaScript, and HTML, to build intuitive user interfaces for AI applications.
  • Experience with AIOps, MLops would be beneficial
  • Domain experience in the automotive industry, specifically applying AI/ML to solve complex vehicle engineering challenges, connected vehicle data, autonomous systems, or manufacturing

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.
This position is a range of salary grades 6-8 and ranges from $74,300-$166,200.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
For more information on salary and benefits, click here: https://fordcareers.co/GSR
Visa sponsorship is not available for this position.
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. 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.
This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid
#LI-MG3
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

View All Ford Jobs

Apply