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Data Scientist Machine Learning Jobs in Detroit, MI

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

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 ...

Corporate Services

Lead Data Scientist

Detroit, MI · On-site

Lead Data Scientist, Healthcare Analytics works with system leaders, business stake holders and ... Exceptionally skilled in machine learning, data analytics, pattern recognition and predictive ...

Saanvi Technologies

Machine Learning Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Machine Learning Engineering Engineer 3 Dearborn, MI W2 Position Description: We are seeking an ... This role combines expertise in Data Science, Software Engineering, and MLOps to deliver scalable ...

Rock Connections

Data Scientist

Detroit, MI · On-site

As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature ... Develop predictive/machine learning models from large sets of structured and unstructured data

Rocket Limited Partnership

Data Scientist

Detroit, MI · On-site

As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature ... Develop predictive/machine learning models from large sets of structured and unstructured data

Domino's Corporate

Data Scientist

Ann Arbor, MI

Develops and implements basic statistical models and machine learning algorithms to address defined ... Qualifications Years Of Experience * 1 to 3 years of professional experience in data science or ...

Domino's Pizza

Data Scientist

Ann Arbor, MI

Develops and implements basic statistical models and machine learning algorithms to address defined ... Qualifications Years Of Experience * 1 to 3 years of professional experience in data science or ...

Domino's

Data Scientist

Ann Arbor, MI · On-site

Develops and implements basic statistical models and machine learning algorithms to address defined ... Qualifications Years Of Experience * 1 to 3 years of professional experience in data science or ...

Eccalon LLC

Machine Learning Engineer

Detroit, MI · On-site

Data Wrangling. * Implementation and Training of Appropriate Models from Literature ... Required Qualifications * BS. in Computer Science, or related field. * 3+ years of professional ...

Kla

Data Scientist - Palantir Developer

Ann Arbor, MI · On-site

$90K - $153K/yr

Support AI and machine learning use cases within the Foundry ecosystem. * Collaborate with cross ... Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics ...

Ford Motor Company

Senior Data Scientist

Dearborn, MI · On-site

... AI), machine learning (ML), and optimization techniques. As a Senior Data Scientist, DCC, you will use your knowledge of data and advanced analytics to identify and articulate the role data and ...

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Showing results 41-60

All JobsData Scientist Machine Learning JobsData Scientist Machine Learning Jobs in Detroit, MI

Data Scientist Machine Learning information

See Detroit, MI salary details

$34.3K

$112.3K

$179.8K

How much do data scientist machine learning jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data scientist machine learning in Detroit, MI is $112,305.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,100.00 and $124,400.00 per year, depending on experience, location, and employer.

What is a data scientist machine learning?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the typical day-to-day responsibilities of a data scientist machine learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.

What are the key skills and qualifications needed to thrive in the data scientist machine learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

What is the salary of data scientist in machine learning?

The salary of a data scientist specializing in machine learning typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in programming, statistical analysis, and tools like Python or TensorFlow may earn higher compensation.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Detroit, MI?

The most popular types of Data Scientist Machine Learning jobs in Detroit, MI are:

What are popular job titles related to Data Scientist Machine Learning jobs in Detroit, MI?

For Data Scientist Machine Learning jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Data Scientist Machine Learning jobs in Detroit, MI look for?

The top searched job categories for Data Scientist Machine Learning jobs in Detroit, MI are:

Data Scientist Machine Learning jobs near you
Infographic showing various Data Scientist Machine Learning job openings in Detroit, MI as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $112,305 per year, or $54 per hour.

Lead Data Scientist

OneMagnify

Detroit, MI • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 20 hours ago

Job description

OneMagnify is an AI native, platform-enabled B2B digital agency operating at the intersection of data, technology, and creativity. We help complex organizations drive measurable business outcomes by building smarter customer experiences and delivering highly integrated solutions across digital, media, and technology. By combining deep industry expertise with advanced analytics and artificial intelligence, we enable our clients to make better decisions, move faster, and compete more effectively in dynamic markets.
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 Data Scientist, you will play a critical role in delivering impactful, data-driven solutions. In this role, you will bridge strategy and execution-translating complex business problems into analytically sound solutions while ensuring technical excellence, timely delivery, and cross-functional collaboration.
The Lead Data Scientist is responsible for leading the execution of end-to-end data science projects, from scoping and modeling to operationalization and insight delivery. You will partner with clients, internal teams, and technical stakeholders to develop and deploy scalable solutions that drive measurable business value.
What you'll do:
  • Lead the design, development, and deployment of statistical models, machine learning algorithms, and custom analytics solutions
  • Collaborate consistently with team members to understand the purpose, focus, and objectives of each data analysis project, ensuring alignment and meaningful support
  • Translate client goals into clear modeling strategies, project plans, and deliverables
  • Guide the development of production-level model pipelines using tools such as Databricks and Azure ML
  • Collaborate with engineering, marketing, and strategic partners to integrate models into real-world applications
  • Monitor and improve model performance, ensuring high standards for reliability and business relevance
  • Present complex analytical results to technical and non-technical audiences in a clear, actionable format
  • Support innovation by identifying new tools, methods, and data sources-including the use of Snowflake for modern data architecture
  • Promote best practices in model governance, data ethics, and responsible AI

What you need:
  • Minimum 5-7 years of experience in data science, analytics, or predictive modeling
  • Experience leading all aspects of sophisticated data science initiatives with a solid foundation in technical strategy and execution
  • Strong programming skills in Python, R, or SAS for modeling and data analysis
  • Advanced SQL capabilities and experience working in cloud-based environments (e.g., Azure, AWS)
  • Hands-on experience with Databricks, Azure Machine Learning, and Snowflake strongly preferred
  • Experience applying the modeling rigor and documentation standards required in regulated industries such as financial services is a strong plus
  • Expertise in regression, classification, clustering, A/B testing, and audience segmentation
  • Proficiency with Tableau, Power BI, and Excel for 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, Computer Science, or a related quantitative field (Master's preferred)
  • Experience in integrated marketing, digital agency, marketing services, or consulting environments preferred.

Benefits
We believe great work happens when people have the support and flexibility they need to thrive. Our benefits include medical, dental, and vision coverage, a 401(k) retirement plan, paid holidays, and Flexible Time Off (FTO) so you can take time away to recharge when you need it. We also offer additional programs focused on wellness, financial security, and professional growth.
We are an equal opportunity employer
We believe that Innovative ideas and solutions start with unique perspectives. That's why we're committed to providing every employee a workplace that's free of discrimination and intolerance. We're proud to be an equal opportunity employer and actively search for like-minded people to join our team.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job functions, and to receive benefits and privileges of employment. Please contact us to request accommodation.

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