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Data Science Jobs in Detroit, MI (NOW HIRING)

Kla

Data Scientist - Palantir Developer

Ann Arbor, MI · On-site

$110K - $187K/yr

Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Information Systems, or a related field. * 2+ years of hands-on Palantir Foundry development experience.

OneMagnify

Lead Data Scientist

Detroit, MI · On-site

You'll be joining our RXA Data Science team, a group dedicated to leveraging advanced analytics, predictive modeling, and machine learning to drive smarter marketing and business decisions. As Lead ...

Conclusive Marketing

Lead Data Scientist

Detroit, MI · On-site

You'll be joining our RXA Data Science team, a group dedicated to leveraging advanced analytics, predictive modeling, and machine learning to drive smarter marketing and business decisions. As Lead ...

OneMagnify

Data Scientist

Detroit, MI · On-site

$120 - $170/hr

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy ... BA/BS in Computer Science, Statistics, Mathematics, MIS, Marketing Research, or a related ...

Woven

Senior Data Scientist - AD/ADAS

Ann Arbor, MI · On-site

$85 - $120/hr

Our data science engineers employ statistical modelling and measurement frameworks to model the distribution of road events in the real world, and inform our long-term validation and ML training data ...

Deloitte

Lead AI and Data Science Engineer II

Detroit, MI

$101K - $133K/yr

Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics, artificial intelligence (AI), and generative artificial intelligence (GenAI) solutions that inform Talent ...

Ford Motor Company

Senior Data Scientist

Dearborn, MI · On-site

Master's degree in quantitative fields, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics OR Computer Science or equivalent combination of ...

Conclusive Marketing

Data Scientist

Detroit, MI · On-site

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy ... BA/BS in Computer Science, Statistics, Mathematics, MIS, Marketing Research, or a related ...

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Showing results 41-60

All JobsData Science JobsData Science Jobs in Detroit, MI

Data Science information

See Detroit, MI salary details

$37.1K

$121.5K

$194.5K

How much do data science jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data science 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.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Detroit, MI? The most popular types of Data Science jobs in Detroit, MI are:
What are popular job titles related to Data Science jobs in Detroit, MI? For Data Science jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Detroit, MI look for? The top searched job categories for Data Science jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Data Science jobs? Cities near Detroit, MI with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Detroit, MI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, 4% Hybrid, and 16% Remote job distribution, with an average salary of $121,507 per year, or $58.4 per hour.

Research Engineer - Prognostics & Applied Data Science

HTC Global Services

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

Job Title
Research Engineer - Prognostics & Applied Data Science
Overview
We are seeking a Research Engineer with expertise in applied data science, machine learning, and predictive modeling to develop advanced prognostic features for connected vehicle systems. This role focuses on building predictive models, processing large-scale vehicle data, and developing algorithms that support diagnostics, fault detection, and remaining useful life estimation for vehicle components.
This is a hybrid position requiring four days per week onsite.
Key Responsibilities
  • Develop prognostic features from concept through production deployment.
  • Build physics-informed machine learning models that combine first-principles physics with machine learning techniques.
  • Design prognostics and Remaining Useful Life (RUL) models for vehicle subsystems.
  • Convert predictive models into optimized C++ code for embedded vehicle systems.
  • Develop digital signal processing pipelines and time-series analytics for multi-sensor vehicle data.
  • Design and validate fault detection and isolation (FDI) algorithms.
  • Apply statistical methods including causal inference, multivariate analysis, ANOVA, principal component analysis (PCA), clustering, neural networks, and Gaussian regression.
  • Support the complete development lifecycle from modeling and simulation through hardware validation and production deployment.
  • Collaborate with subject matter experts to develop diagnostics and prognostic algorithms for vehicle components and systems.
  • Process and analyze large-scale telemetry data using Python, SQL, Spark, Hadoop, and cloud platforms.
  • Utilize MATLAB, Simulink, and calibration tools to develop and optimize predictive algorithms.
  • Work cross-functionally to support successful implementation of production software.

Required Qualifications
  • Master's degree in Mechanical Engineering, Electrical Engineering, Computer Science, Computer Engineering, Physics, Mathematics, or a related field, or an equivalent combination of education and experience.
  • 4+ years of experience applying statistical methods such as ANOVA, PCA, correspondence analysis, clustering, factor analysis, multivariate analysis, neural networks, causal inference, and Gaussian regression.
  • 3+ years of experience with Python and SQL.
  • Experience with C++ programming.
  • Experience with data science methodologies and cloud-based data platforms.
  • Experience with embedded controls, onboard diagnostics, sensor processing, and physics-based modeling.
  • Experience using numerical modeling and simulation tools such as MATLAB and Simulink.
  • Experience with digital signal processing (DSP), data structures, algorithms, and software engineering principles.
  • Strong analytical, communication, interpersonal, and problem-solving skills.
  • Self-motivated with the ability to work in cross-functional teams.

Preferred Qualifications
  • PhD in Mechanical Engineering, Electrical Engineering, Computer Science, Computer Engineering, Physics, Mathematics, or a related field.
  • Experience in dynamic systems, controls, robotics, or prognostics and health management.
  • Experience developing automotive prognostics using connected vehicle data.
  • Experience applying machine learning methods including time-series forecasting, random forests, clustering, and neural networks.
  • Experience with Python, R, Spark, and Hadoop.
  • Experience developing embedded automotive software using MATLAB and C++.
  • Familiarity with ATI and ETAS calibration tools.
  • Excellent verbal and written communication skills.

What Makes HTC A Great Place To Build Your Future
HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.
At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.
Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
#LI-Hybrid #LI-CP1

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