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Senior Data Scientist Machine Learning Jobs in Detroit, MI

Stefanini

Machine Learning Engineer

Allen Park, MI · On-site

... data science methodologies including Machine Learning (ML), predictive modeling, math, statistics, advanced analytics, etc. Key ResponsibilitiesUnderstand business requirements and analyze datasets ...

General Motors

Data Scientist

Warren, MI · On-site +1

Lead the execution of assigned AI, machine learning, or data science workstreams from methodology ... Experience presenting complex analytical results and technical tradeoffs to senior leaders and ...

Woven

Senior Data Scientist - AD/ADAS

Ann Arbor, MI · On-site

$85 - $120/hr

... the Machine Learning (ML) models for perception and prediction of human driving patterns, to ... Our data science engineers employ statistical modelling and measurement frameworks to model the ...

General Motors

Data Scientist

Warren, MI · On-site

$120 - $190/hr

Lead the execution of assigned AI, machine learning, or data science workstreams from methodology ... Experience presenting complex analytical results and technical tradeoffs to senior leaders and ...

General Motors

Data Scientist

Warren, MI · On-site

Lead the execution of assigned AI, machine learning, or data science workstreams from methodology ... Experience presenting complex analytical results and technical tradeoffs to senior leaders and ...

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Showing results 21-40

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

Senior Data Scientist Machine Learning information

See Detroit, MI salary details

$41.1K

$141K

$199K

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

As of Sep 4, 2026, the average yearly pay for senior data scientist machine learning in Detroit, MI is $141,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,300.00 and $164,800.00 per year, depending on experience, location, and employer.

What does a senior data scientist specializing in machine learning do?

A Senior Data Scientist in Machine Learning leads the development, implementation, and optimization of advanced statistical and machine learning models to solve business problems. They analyze large, complex datasets, design predictive algorithms, and collaborate with cross-functional teams to integrate models into production systems. Additionally, they mentor junior data scientists, contribute to setting technical strategy, and often communicate findings to stakeholders to drive data-driven decision-making.

What are the key skills and qualifications needed to thrive as a senior data scientist in machine learning?

To thrive as a Senior Data Scientist in Machine Learning, you need advanced expertise in statistics, programming (Python or R), and machine learning algorithms, typically backed by a relevant degree (such as in computer science or mathematics) and several years of experience. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and cloud platforms (AWS, GCP, or Azure), as well as experience with big data technologies, is essential. Strong problem-solving, communication, and project leadership skills help drive impactful solutions and foster collaboration across teams. These skills ensure the successful design, deployment, and scaling of machine learning models that deliver business value.

How does a senior data scientist specializing in machine learning typically collaborate with cross-functional teams?

Senior Data Scientists in Machine Learning often work closely with product managers, software engineers, and business analysts to understand project goals and translate them into actionable data solutions. They are responsible for communicating complex technical concepts to non-technical stakeholders, ensuring that ML models align with business objectives. Collaboration frequently involves participating in regular strategy meetings, reviewing data pipelines with engineering teams, and providing insights that guide product development. This cross-disciplinary teamwork is essential for successfully deploying machine learning models into production environments.

What is the difference between Senior Data Scientist Machine Learning vs Data Scientist?

AspectSenior Data Scientist Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, Statistics, or related field; experience with ML frameworksBachelor's or Master's in relevant field; foundational knowledge of data analysis
Work EnvironmentAdvanced analytics teams, R&D, product developmentData analysis teams, business intelligence, reporting
Employer & Industry UsageTech companies, finance, healthcare, e-commerceSimilar industries, often entry to mid-level roles

The main difference is that Senior Data Scientist Machine Learning roles require more experience, advanced skills in ML frameworks, and often involve leading projects. Data Scientists typically focus on data analysis and reporting with less emphasis on complex ML models. Senior roles also tend to involve mentorship and strategic input.

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:

Senior Data Scientist Machine Learning jobs near you
Infographic showing various Senior Data Scientist Machine Learning job openings in Detroit, MI as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $141,031 per year, or $67.8 per hour.

Data Science and Machine Learning Specialist//Dearborn, MI, W2

Saanvi Technologies

Dearborn, MI • On-site

Contractor

Re-posted 7 days ago

Job description

Data Science and Machine Learning Specialist

Dearborn, MI  4 days on site.

W2

Position Description:

Employees in this job function are responsible for predicting and/ or extracting meaningful trends/ patterns/ recommendations from raw data, leveraging data science methodologies including Machine Learning (ML), predictive modeling, math, statistics, advanced analytics, etc. Key Responsibilities: 1) Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making 2) Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data driven decision-making 3) Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends 4) Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation 5) Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness Fully Functional Middleware API: A production-ready middleware layer that ingests, aggregates, and exposes the 6 core operational data points. Agentic AI Orchestrator: A deployed multi-agent system that autonomously monitors the middleware data, flags anomalies, and generates structured recommendation JSON payloads. Human-in-the-Loop (HITL) Dashboard Integration: APIs and webhooks that feed the AI’s reasoning, recommendations, and confidence scores into our front-end application. Co-Developed Codebase: A clean, modular, and fully tested Git repository co-authored with our internal team. Coaching Playbook: A comprehensive training package and transfer-of-ownership document for our internal engineering and product teams

Skills Required:

J2EE, Logistics, Python, Machine Learning

Skills Preferred:

AIPGEE, Advance data Migration, API, Data Management

Experience Required:

Specialist Exp: 5+ experience in relevant field

Experience Preferred:

Automotive Supply Chain - Logistics

Education Required:

Bachelor's Degree

Education Preferred:

Certification Program

Saanvi Technologies logo

About Saanvi Technologies

Sourced by ZipRecruiter

Saanvi Technologies is a staffing company that specializes in providing IT professionals to businesses. Our employees are experts in their field, and have the skills and experience necessary to help businesses grow and succeed. Saanvi Technologies is dedicated to helping businesses achieve their goals, and they have a proven track record of success. Our employees are qualified and reliable, and they always go above and beyond to meet the needs of their customers.

Company size

51 - 200 Employees

Headquarters location

Farmington, MI, US

Social media

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