ZipRecruiter

Log In

1

Data Science Assistant Jobs in Michigan (NOW HIRING)

Deloitte

AI and Data Science Engineer III

Detroit, MI · On-site +1

$113.40K - $136.10K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ... knowledge assistants, summarization, and policy question-and-answer solutions using secure ...

Deloitte

AI and Data Science Engineer III

Detroit, MI · On-site

$113.10K - $135.90K/yr

They are seeking an AI and Data Science Engineer to build and operate data and AI foundations that ... knowledge assistants, summarization, and policy question-and-answer solutions using secure ...

SMEUSA

2026 Spring Power BI / Data Science Co-op

Plymouth, MI · On-site

$56.20K - $56.60K/yr

The role involves learning and applying data science tools, contributing to data pipelines, and ... metrics. • Assist in building dashboards, reports, and visualizations using Power BI. • ...

Advantasure, Inc.

Data Scientist

Detroit, MI · On-site

... coding assistants, chat-based models) into team workflows to enhance software development ... Bachelor's degree in Business, Data Science, Statistics, Economics, Engineering, Computer Science ...

Ford Motor Company

Applied Data Scientist

Dearborn, MI · Hybrid

As an Applied Data Scientist within the Advanced Driver Assist Systems (ADAS) domain, you will leverage connected vehicle, diagnostic, and warranty data to (1) enhance ADAS feature performance and ...

next page

Showing results 1-20

People also search for

All JobsData Science JobsData Science Assistant JobsData Science Assistant Jobs in Michigan

Data Science Assistant information

What are the key skills and qualifications needed to thrive as a Data Science Assistant, and why are they important?

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

How does a Data Science Assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

What are Data Science Assistants?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

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

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Data Science jobs in Michigan? The most popular types of Data Science jobs in Michigan are:
What are popular job titles related to Data Science Assistant jobs in Michigan? For Data Science Assistant jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Science Assistant jobs in Michigan look for? The top searched job categories for Data Science Assistant jobs in Michigan are:
What cities in Michigan are hiring for Data Science Assistant jobs? Cities in Michigan with the most Data Science Assistant job openings:
Data Science Assistant jobs near you
Infographic showing various Data Science Assistant job openings in Michigan as of May 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 66% Physical, 7% Hybrid, and 27% Remote job distribution.
AI/ML Specialist (Data Science & Intelligent Automation)

AI/ML Specialist (Data Science & Intelligent Automation)

HTC Global Services Inc

Dearborn, MI

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

Job Title AI/ML Specialist (Data Science & Intelligent Automation) Overview / Summary We are seeking an AI/ML Specialist responsible for developing intelligent programs, cognitive applications, and algorithms for data analysis and automation. This role focuses on leveraging advanced AI techniques such as deep learning, generative AI, natural language processing, and intelligent automation to solve complex business problems and deliver data-driven insights. Key Responsibilities Understand business requirements and develop AI algorithms, models, and programs to solve complex problems Generate recommendations, extract patterns, and make predictions from structured and unstructured data Interpret sensor data such as images and sound Develop and orchestrate automation solutions and enable self-service capabilities Perform large-scale experimentation and build data-driven applications Translate data into actionable intelligence Apply AI techniques including deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, and virtual assistants Research and optimize AI technologies to improve efficiency and accuracy Partner with stakeholders to gather and document business requirements and translate them into technical specifications Deploy and integrate AI models developed internally or by third-party vendors Collaborate with engineering teams to align models with enterprise data structures Execute AI-assisted software development practices using AI tools Design and maintain data pipelines supporting model inference and automation workflows Develop reusable integration patterns and data structures to support scalability across business units Required Qualifications Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field 5+ years of experience in AI/ML, data science, or advanced analytics Experience delivering production-grade solutions in enterprise environments Strong proficiency in Python and SQL Familiarity with Graph Query Languages (e.g., Cypher) Experience with MLOps principles and tools (e.g., Azure ML, AWS SageMaker, GCP AI Platform, Kubeflow, MLflow) Experience designing and implementing AI-focused software development lifecycle processes Strong expertise in cloud platforms and data integration patterns Strong analytical, problem-solving, and critical thinking skills Effective communication and stakeholder management 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.

Apply