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Contract Machine Learning Data Scientist Jobs in Novi, MI

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 ...

Stellantis

Machine Learning Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

We are looking for a Machine Learning Engineer / Data Scientist to develop advanced statistical models and simulations that drive Vehicle Configuration Optimization (VCO) . This role will leverage ...

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 ...

FastTek

Machine Learning Engineer

Dearborn, MI · On-site

Machine Learning Engineer #1058742 Position Description: We are seeking an experienced AI Engineer ... This role combines expertise in Data Science, Software Engineering, and MLOps to deliver scalable ...

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All JobsContract Machine Learning Data Scientist JobsContract Machine Learning Data Scientist Jobs in Novi, MI

Contract Machine Learning Data Scientist information

See Novi, MI salary details

$35.2K

$115.2K

$184.4K

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

As of Aug 7, 2026, the average yearly pay for contract machine learning data scientist in Novi, MI is $115,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,400.00 and $127,600.00 per year, depending on experience, location, and employer.

How do contract machine learning data scientists typically collaborate with in-house teams during a project?

Contract machine learning data scientists often work closely with in-house data teams, product managers, and engineers to align project goals and deliverables. They frequently participate in virtual meetings, code reviews, and regular progress updates to ensure transparency and seamless integration of their work. Effective communication and documentation are critical, as contractors may need to quickly adapt to the company's workflows and tools. This collaborative environment enables contractors to contribute specialized expertise while staying attuned to the broader objectives of the organization.

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

To excel as a Contract Machine Learning Data Scientist, you need a strong background in statistics, programming (Python/R), and applied machine learning, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP, Azure), and version control systems is essential, along with experience deploying models in production. Exceptional problem-solving abilities, communication skills, and adaptability help you translate business needs into actionable data solutions and quickly integrate into new teams. These skills are crucial for delivering high-impact, reliable machine learning solutions on tight project timelines and in diverse organizational environments.

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

AspectContract Machine Learning Data ScientistContract Data Scientist
CredentialsTypically requires advanced degrees in data science, machine learning, or related fieldsRequires similar degrees but may have a broader focus on data analysis
Work EnvironmentOften in tech, finance, or healthcare industries focusing on ML projectsVaries across industries, including marketing, finance, and consulting
Employer UsageUsed by companies developing AI/ML solutions or productsEmployed for data analysis, reporting, and strategic insights
Search & Comparison IntentOften searched by those interested in AI/ML-specific rolesMore general, related to data analysis roles

The main difference is that Contract Machine Learning Data Scientists focus on developing and implementing machine learning models, while Contract Data Scientists may handle broader data analysis tasks without necessarily specializing in ML. Both roles require strong analytical skills and relevant credentials, but their project focus and industry applications differ.

What is a contract machine learning data scientist?

A Contract Machine Learning Data Scientist is a professional who works on a temporary or project-based basis to build, implement, and optimize machine learning models for organizations. Unlike full-time employees, contract data scientists are hired for specific projects or timeframes and may work independently or as part of a team. Their responsibilities typically include data cleaning, feature engineering, model selection, and communicating insights to stakeholders. Contract roles offer flexibility for both the professional and the employer, often focusing on specialized tasks or filling short-term skill gaps.
What are popular job titles related to Contract Machine Learning Data Scientist jobs in Novi, MI? For Contract Machine Learning Data Scientist jobs in Novi, MI, the most frequently searched job titles are:
What job categories do people searching Contract Machine Learning Data Scientist jobs in Novi, MI look for? The top searched job categories for Contract Machine Learning Data Scientist jobs in Novi, MI are:
What cities near Novi, MI are hiring for Contract Machine Learning Data Scientist jobs? Cities near Novi, MI with the most Contract Machine Learning Data Scientist job openings:
Contract Machine Learning Data Scientist jobs near you

Data Science & Machine Learning Specialist

HTC Global Services

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

Job description

Job Title
Data Science & Machine Learning Specialist
Overview
We are seeking an experienced Data Science & Machine Learning Specialist to develop predictive models, analyze complex datasets, and generate actionable business insights. The ideal candidate will apply advanced analytics, machine learning, and statistical modeling techniques to support data-driven decision-making while collaborating with cross-functional teams.
Key Responsibilities
  • Analyze business requirements and datasets to identify appropriate analytical approaches.
  • Design, develop, and implement machine learning models, algorithms, and experiments.
  • Apply data mining, predictive modeling, prescriptive analytics, statistics, and advanced analytical techniques to uncover trends and patterns.
  • Design efficient data loading, augmentation, and analysis processes to improve model accuracy, scalability, and robustness.
  • Conduct statistical modeling and predictive analytics to generate business insights.
  • Perform exploratory and deep-dive analyses on large structured and unstructured datasets.
  • Develop dashboards and visualizations using Power BI to communicate analytical findings.
  • Collaborate with architects, project managers, data engineers, software engineers, and data scientists to validate data pipelines and analytical outputs.
  • Present analytical findings and recommendations to technical and non-technical stakeholders.
  • Stay current with advancements in data science, machine learning, and analytics methodologies to continuously improve analytical capabilities.

Required Qualifications
  • Master's degree in a relevant field.
  • Minimum 5 years of experience in Data Science, Machine Learning, or a related field.
  • Experience with:
    • Data Science
    • Machine Learning
    • Data Analysis
    • Data Mining
    • Algorithms
    • Analytics and Reporting Dashboards
  • Strong knowledge of statistical modeling, predictive analytics, and advanced analytical techniques.
  • Experience working with large structured and unstructured datasets.
  • Experience creating data visualizations using Power BI.
  • Ability to communicate analytical results effectively to cross-functional teams and business stakeholders.

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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