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Data Science Visualization Jobs in Detroit, MI (NOW HIRING)

Stellantis

Data Scientist

Auburn Hills, MI · On-site

Your mission is to build and scale trusted data science products that power marketing performance ... Experience with Power BI or similar tools for data visualization and dashboarding * 2+ years of ...

DTE Energy

Expert Data Scientist

Detroit, MI · On-site

Leads data science projects from end-to-end, collaborating with cross-functional stakeholders ... Intermediate-to advanced-level programming skills in SQL, Python, R, and in visualization tools ...

DTE Energy

Expert Data Scientist

Detroit, MI · On-site

Leads data science projects from end-to-end, collaborating with cross-functional stakeholders ... Intermediate-to advanced-level programming skills in SQL, Python, R, and in visualization tools ...

OneMagnify

Lead Data Scientist

Detroit, MI · On-site

$100 - $125/hr

... data visualization and communication * Strong communication skills and the ability to translate complex technical findings into business insight * Bachelor's degree in Data Science, Statistics ...

OneMagnify

Lead Data Scientist

Detroit, MI · On-site

... data visualization and communication * Strong communication skills and the ability to translate complex technical findings into business insight * Bachelor's degree in Data Science, Statistics ...

Conclusive Marketing

Lead Data Scientist

Detroit, MI

... data visualization and communication * Strong communication skills and the ability to translate complex technical findings into business insight * Bachelor's degree in Data Science, Statistics ...

Ford Motor Company

Senior Data Scientist

Dearborn, MI · On-site

You will develop analytics products using your expertise in visualization, AI/ML, Statistics and ... Master's degree in quantitative fields, such as Data Science, Engineering, Operations Research ...

General Motors

AI/ML Data Scientist (GPSSC)

Warren, MI · On-site

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field * 5+ years of ... Data Analysis & Visualization : Tableau, PowerBI, Pandas, NumPy * Proven track record delivering AI ...

Ford Motor Company

Senior Data Scientist

Dearborn, MI · On-site

You will develop analytics products using your expertise in visualization, AI/ML, Statistics and ... Master's degree in quantitative fields, such as Data Science, Engineering, Operations Research ...

General Motors

AI/ML Data Scientist (GPSSC)

Warren, MI · Hybrid

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field * 5+ years of ... Data Analysis & Visualization : Tableau, PowerBI, Pandas, NumPy * Proven track record delivering AI ...

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Showing results 21-40

All JobsData Science Visualization JobsData Science Visualization Jobs in Detroit, MI

Data Science Visualization information

See Detroit, MI salary details

$53.5K

$108.4K

$159.9K

How much do data science visualization jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data science visualization in Detroit, MI is $108,352.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,100.00 and $121,800.00 per year, depending on experience, location, and employer.

What is data science visualization?

Data Science Visualization refers to the practice of creating graphical representations of data and analytical results to make complex information more understandable and actionable. Data visualization helps data scientists communicate insights, identify patterns, and inform decision-making by presenting data in charts, graphs, maps, and interactive dashboards. It bridges the gap between technical analyses and non-technical stakeholders, enabling clearer communication and more effective storytelling with data.

How does a data science visualization specialist typically collaborate with data scientists and other stakeholders during a project?

Data Science Visualization specialists play a key role in bridging the gap between complex data analysis and actionable insights. They often work closely with data scientists to understand the underlying data models and results, and then collaborate with business stakeholders to ensure visualizations are tailored to the audience's needs. Regular meetings, feedback sessions, and iterative design processes are common, enabling effective communication and ensuring that visual outputs are both accurate and impactful. This collaborative environment helps ensure that data-driven insights are easily understood and used for decision-making across the organization.

What are the key skills and qualifications needed to thrive as a data science visualization specialist, and why are they important?

To thrive in Data Science Visualization, you need a strong grasp of data analysis, statistics, and data storytelling, often supported by a degree in computer science, statistics, or a related field. Proficiency with visualization tools like Tableau, Power BI, or D3.js as well as programming languages such as Python or R is typically required. Creativity, attention to detail, and effective communication are valuable soft skills for translating complex data into clear, actionable visuals. These skills are crucial for transforming raw data into insights that drive informed business decisions.

What is the difference between Data Science Visualization vs Data Analyst?

AspectData Science VisualizationData Analyst
Required SkillsData visualization tools, programming (Python, R), statistical knowledgeExcel, SQL, basic statistics, data reporting
Work EnvironmentData science teams, research projects, advanced analyticsBusiness units, reporting, data cleaning
Industry UsageTech, finance, healthcare, researchRetail, marketing, finance, operations

Data Science Visualization focuses on creating advanced visual representations of complex data sets using programming and statistical tools, often within data science teams. Data Analysts primarily generate reports and dashboards using tools like Excel and SQL for business decision-making. While both roles involve data visualization, Data Science Visualization emphasizes technical, programming-based visualizations for in-depth analysis, whereas Data Analysts focus on accessible reports for business insights.

What are popular job titles related to Data Science Visualization jobs in Detroit, MI?

For Data Science Visualization jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Data Science Visualization jobs in Detroit, MI look for?

The top searched job categories for Data Science Visualization jobs in Detroit, MI are:

Data Science Visualization jobs near you
Infographic showing various Data Science Visualization job openings in Detroit, MI as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $108,352 per year, or $52.1 per hour.

Data Scientist - Conversational AI

Dearborn, MI • On-site

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

Full-time

Medical, Dental, Vision, Life, PTO

This job post has expired today. Applications are no longer accepted.

Ford Motor Company rating

7.6

Company rating: 7.6 out of 10

Based on 528 frontline employees who took The Breakroom Quiz

11th of 45 rated automakers

Job description


The Opportunity We are the movers of the world and the makers of the future. The Integrated Services team at Ford is developing connected, digital platforms that will revolutionize how vehicles function.
You will join the Digital Cabin organization as the dedicated Data Scientist for our next-generation AI Digital Assistant. This AI-driven feature is currently active on mobile platforms and is rapidly expanding into our In-Vehicle Infotainment (IVI) systems to execute tasks, provide vehicle reports, and enhance the driving experience.
This role offers a unique opportunity to shape the data strategy for a high-priority AI product from the ground up. We are looking for a strategic, "full-stack" Data Scientist who leans heavily into Product Analytics. You must be willing to roll up your sleeves to structure raw data and build executive dashboards, while also deploying applied machine learning techniques to categorize user utterances, evaluate AI performance, and drive behavioral insights.
Responsibilities
What you'll do...
  • NLP & Utterance Analysis: Leverage Natural Language Processing (NLP) and machine learning to categorize and cluster raw user utterances. Perform sentiment analysis on unstructured text logs to extract actionable product insights.
  • AI Response Evaluation & Experimentation: Design methodologies to evaluate the helpfulness, accuracy, and relevance of the AI's responses. Design and analyze A/B tests to measure the impact of prompt adjustments, model updates, and new feature rollouts.
  • Data Integration & Sanitization: Dive directly into Google Cloud Platform (GCP) to cleanly join and structure mobile, customer support, and vehicle data into robust "Analytical Sandboxes," ensuring strict adherence to data privacy and PII handling standards.
  • Problem Framing & Metric Definition: Act as a strategic partner to Product Managers. Challenge assumptions and define core conversational metrics (e.g., task success rates, user engagement, support deflection).
  • Advanced Visualization & Self-Service: Design, build, and maintain highly intuitive, narrative-driven dashboards using Looker and PowerBI to empower the product team to answer their own day-to-day questions.
  • Bridge the Mobile-to-IVI Gap: Act as the analytical bridge as our digital assistant expands from the Ford app into the vehicle, standardizing mobile data against our emerging in-vehicle data contracts.

Qualifications
You'll have...
  • Education: A Master's Degree in a quantitative, technical, or related field (e.g., Data Science, Computer Science, Statistics).
  • Experience: 7+ years of experience in Data Science, Product Analytics, or Applied Machine Learning.
  • "Full-Stack" Capability: Demonstrated ability to act as a bridge between Data Science, Engineering, and Product-taking raw telemetry, applying statistical/ML models, and transforming it into business insights without relying on a central data team for every step.

Primary Technical Skills
  • Applied ML & LLM Analytics: Proficiency in Python or R with hands-on experience in text analytics, clustering, and categorization. Familiarity with LLM evaluation techniques (e.g., prompt effectiveness, hallucination tracking, human-in-the-loop feedback).
  • Expert-Level SQL & GCP: Highly proficient in writing complex, optimized SQL (Window Functions, CTEs, handling JSON/Nested Data) within Google Cloud Platform (BigQuery) to structure datasets independently.
  • Advanced Visualization: Deep expertise in building scalable business intelligence solutions, semantic layers, and executive-facing dashboards in Looker and PowerBI.
  • Experimentation: Strong grasp of statistics and experience designing and measuring A/B tests in a product environment.
  • Analytics as Code: Experience with version control (e.g., Git, GitHub) and working in environments where analytics changes go through a formal peer-review process.
  • Strategic Problem Solving: Comfortable navigating complex, multi-source data environments. You view data integration as a puzzle to be solved and a strategic enabler for the business.

Even better, you may have...
  • Behavioral Analytics: Experience using platforms like Amplitude to analyze user funnels, retention curves, and cohort behavior.
  • Data Modeling: Experience with dbt (Data Build Tool) or similar frameworks for transforming data in the warehouse.

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 ranges from a salary grade of 6-8 from.
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.
This position is hybrid (onsite four days per week).
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