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Data Science Assistant Jobs in Michigan (NOW HIRING)

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Manager, Data Engineering

Detroit, MI

$160K - $190K/yr

As a technical leader, the person will assist with setting the technical direction of the practice ... Bachelor's degree in computer science or related field * 12 years of industry experience, with 4 ...

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Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

As a technical leader, the person will assist with setting the technical direction of the practice ... Bachelor's degree in computer science or related field * 12 years of industry experience, with 4 ...

Reply

Manager, Data Engineering

Detroit, MI

$160K - $190K/yr

As a technical leader, the person will assist with setting the technical direction of the practice ... Bachelor's degree in computer science or related field * 12 years of industry experience, with 4 ...

HTC Global Services

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

... * Assist with data ingestion, transformation, validation, and refresh processes across cloud and ... Bachelor's degree in engineering, analytics, computer science, information systems, data science ...

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Data Science Assistant information

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 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.

Is 40 too late for data science?

Data Science Assistants and other data science roles do not have strict age limits; many professionals start or transition into data science later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned at any age through online courses, certifications, and practical experience.

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 is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data subsets, or tasks to improve model performance efficiently.

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 do data assistants do?

Data Science Assistants support data analysis by collecting, cleaning, and organizing data sets. They often use tools like Excel, SQL, or Python to prepare data for modeling and reporting, assisting data scientists and analysts in project workflows.

Can I get a data scientist job with no experience?

Entry-level data science assistant roles often do not require prior experience, but candidates typically need a strong foundation in programming (such as Python or R), statistics, and data analysis. Gaining relevant skills through online courses, certifications, or personal projects can improve chances of securing such positions.
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 July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 99% Physical, and 1% Remote job distribution.
Artificial Intelligence Specialist (AI/ML Engineer)

Artificial Intelligence Specialist (AI/ML Engineer)

HTC Global Services

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

Job Title
Artificial Intelligence Specialist (AI/ML Engineer)
Overview / Summary
We are seeking an Artificial Intelligence Specialist to develop and implement AI-driven solutions that support data analysis, automation, and decision-making. This role involves working with AI models, machine learning technologies, knowledge graph integrations, cloud-based AI platforms, and MLOps practices to deliver scalable, production-grade solutions.
Key Responsibilities
  • Understand business requirements and develop AI algorithms, models, and applications to solve complex problems.
  • Generate recommendations, identify patterns, make predictions, interpret sensor data, and support intelligent automation capabilities.
  • Perform large-scale experimentation and develop data-driven applications that convert data into actionable insights.
  • Drive innovative applications of AI technologies, including:
    • Deep Learning
    • Generative AI
    • Natural Language Processing (NLP)
    • Image Processing
    • Cognitive Automation
    • Intelligent Process Automation
    • Reinforcement Learning
    • Virtual Assistants
  • Research, evaluate, and optimize AI technologies to improve efficiency, automation, and analytical accuracy.
  • Partner with business stakeholders to gather and document requirements and translate them into technical specifications for AI solutions.
  • Lead deployment and integration of pre-developed AI models into cloud-based environments.
  • Collaborate with knowledge graph engineering teams to integrate AI models with enterprise ontologies and graph-based data.
  • Execute AI-assisted software development practices using AI-powered development tools and automated workflows.
  • Design and maintain automated pipelines supporting model inference and data integration.
  • Develop reusable integration patterns and data contracts to support scalable AI implementations across multiple business functions.

Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • 5+ years of relevant professional experience.
  • 3+ years of progressive experience in AI/ML, data science, or advanced analytics delivering production-grade solutions in enterprise environments.
  • Strong knowledge of:
    • Artificial Intelligence & Expert Systems
    • Machine Learning
    • Data Science
    • Data Modeling
    • Software Development Lifecycle (SDLC)
  • Strong proficiency in Python and SQL.
  • Familiarity with graph query languages such as Cypher.
  • Experience with MLOps principles and tools such as:
    • Azure ML
    • AWS SageMaker
    • GCP AI Platform
    • Kubeflow
    • MLflow
  • Experience designing and implementing AI-specific SDLC processes.
  • Strong expertise with cloud services and AI platforms, including GCP and Vertex AI.
  • Experience with data integration patterns.
  • Strong analytical, problem-solving, and critical thinking skills.
  • Excellent communication, interpersonal, 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.
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