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Temporary Machine Learning Scientist Jobs in Detroit, MI

Stefanini

Machine Learning Engineer

Allen Park, MI · On-site

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

Eccalon LLC

Machine Learning Engineer

Detroit, MI

Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No ... Required Qualifications * BS. in Computer Science, or related field. * 3+ years of professional ...

Varsity Tutors

Machine Learning Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Detroit, MI · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

FastTek

Machine Learning Engineer

Dearborn, MI

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 ...

Mariana Minerals

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $180K/yr

Desired Qualifications * 2-8+ years of experience (including internships or research) in machine learning, reinforcement learning, or scientific computing-or a strong recent graduate with ...

Stefanini

Machine Learning Engineer

Dearborn, MI · On-site

Stefanini is looking for a Machine Learning Engineer(Dearborn, MI) For quick apply, please reach ... Data Mining, Data/Analytics dashboards, ALGORITHMS, Data/Analytics, Data Analysis, Data Science ...

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 ...

Stellantis

Machine Learning Engineer

Auburn Hills, MI · On-site

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 ...

Stellantis

Machine Learning Engineer

Auburn Hills, MI · On-site

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 ...

Stellantis

Machine Learning Engineer

Auburn Hills, MI · On-site

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 ...

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All JobsMachine Learning Scientist JobsTemporary Machine Learning Scientist JobsTemporary Machine Learning Scientist Jobs in Detroit, MI

Temporary Machine Learning Scientist information

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

AspectTemporary Machine Learning ScientistData Scientist
CredentialsTypically requires a master's or PhD in computer science, data science, or related fields; experience with machine learning frameworksUsually holds a bachelor's or master's in data science, statistics, or related fields; strong analytical skills
Work EnvironmentProject-based, often contract roles in tech, finance, or healthcare companiesFull-time or contract roles across various industries, focusing on data analysis and insights
Employer UsageHired for specialized machine learning projects, prototypes, or research tasksEngaged in data analysis, reporting, and building predictive models

In summary, a Temporary Machine Learning Scientist focuses on developing and implementing machine learning models on a temporary basis, often requiring advanced credentials and specialized skills. In contrast, a Data Scientist has a broader role in analyzing data and generating insights, with less emphasis solely on machine learning techniques.

What is a temporary machine learning scientist?

Temporary Machine Learning Scientists are professionals hired on a short-term basis to develop, implement, and optimize machine learning models within an organization. They typically work on specific projects or to fill a temporary gap in expertise, often collaborating with data scientists, engineers, and stakeholders. Their responsibilities may include data preprocessing, feature engineering, model selection, and evaluation. These roles are ideal for projects with defined timelines or exploratory research that does not require a permanent hire. Temporary contracts can range from a few months to a year, depending on the project's scope and needs.

What types of projects do temporary machine learning scientists typically work on, and how do they integrate with existing teams?

Temporary Machine Learning Scientists are often brought in to support short-term projects such as data analysis, model prototyping, or improving existing machine learning pipelines. Their work usually involves collaborating closely with data engineers, software developers, and product managers to ensure seamless integration of models into production systems. Since the role is temporary, effective communication and quick adaptation to the team's workflow are crucial. These scientists are expected to rapidly understand the company's data and objectives, deliver actionable insights, and document their work for team continuity after their contract ends.

What are the key skills and qualifications needed to thrive as a temporary machine learning scientist, and why are they important?

To thrive as a Temporary Machine Learning Scientist, you typically need advanced knowledge of machine learning algorithms, data analysis, programming skills (such as Python or R), and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and tools for data processing and model deployment is often required, along with experience using cloud platforms such as AWS or Azure. Strong problem-solving abilities, adaptability, and effective communication skills help you quickly integrate into teams and deliver results on short-term projects. These skills ensure you can efficiently contribute to impactful solutions and adapt to rapidly changing project requirements.
What are the most commonly searched types of Machine Learning Scientist jobs in Detroit, MI? The most popular types of Machine Learning Scientist jobs in Detroit, MI are:
What are popular job titles related to Temporary Machine Learning Scientist jobs in Detroit, MI? For Temporary Machine Learning Scientist jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Temporary Machine Learning Scientist jobs in Detroit, MI look for? The top searched job categories for Temporary Machine Learning Scientist jobs in Detroit, MI are:
Temporary Machine Learning Scientist jobs near you
Infographic showing various Temporary Machine Learning Scientist job openings in Detroit, MI as of July 2026, with employment types broken down into 17% Internship, and 83% Full Time. Highlights an 59% In-person, and 41% Remote job distribution.

Data Science & Machine Learning Specialist

HTC Global Services

Dearborn, MI • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 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.

#LI-Hybrid #LI-RM1

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