ZipRecruiter

Log In

1

Formulation Scientist Jobs in Michigan (NOW HIRING)

BEL

Senior R&D Scientist

Grawn, MI · On-site

$100K - $127K/yr

Apply advanced knowledge of fruit-based products, ingredients, formulation, processing, and ... Bachelor's degree in food science, food technology, food chemistry, nutrition, or a related ...

Bel

Senior R&D Scientist

Traverse City, MI

$90K - $100K/yr

On-site work Job Id: 54025 Senior R&D Scientist Bel is part of a mission-driven, family-owned ... Minimum of five years of relevant experience in R&D, product development, formulation, process ...

Cooper Standard

Director Global Rubber Material

Northville, MI · On-site

$219K - $229K/yr

Master's or PhD in Polymer Science, Chemistry, or Chemical Engineering strongly preferred. * Typically 12+ years of experience in formulation, materials development, or polymer engineering within a ...

Varsity Tutors

Data Science Tutor

Detroit, MI · Remote

$18 - $40/hr

Skilled at teaching the full data science workflow from question formulation through insight communication. Guides students through data cleaning with Pandas, exploratory analysis with visualization ...

Varsity Tutors

Data Science Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

Skilled at teaching the full data science workflow from question formulation through insight communication. Guides students through data cleaning with Pandas, exploratory analysis with visualization ...

Varsity Tutors

Data Science Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

Skilled at teaching the full data science workflow from question formulation through insight communication. Guides students through data cleaning with Pandas, exploratory analysis with visualization ...

Dart Container

Associate Process Engineer

Mason, MI · On-site

Formulation Science * Polymer Science * Packaging Engineering * Other relevant Science or Engineering disciplines Preferred Qualifications * Strong analytical and problem-solving skills * Interest in ...

New

Dart Container

Associate Process Engineer

Mason, MI · On-site

Formulation Science * Polymer Science * Packaging Engineering * Other relevant Science or Engineering disciplines Preferred Qualifications * Strong analytical and problem-solving skills * Interest in ...

New

Dart Container

Associate Process Engineer

Mason, MI

Formulation Science * Polymer Science * Packaging Engineering * Other relevant Science or Engineering disciplines Preferred Qualifications * Strong analytical and problem-solving skills * Interest in ...

New

Celia Corporation

Senior Vinyl Chemist

Sparta, MI

Strong knowledge of polymer chemistry, formulation techniques (DOE), material science and statistical analysis of experimental metrics. * Proficiency in physical testing and analytical techniques.

Teijin Automotive Technologies

Intern

Auburn Hills, MI · On-site

$14.25 - $19/hr

CSP is the industry leader in the formulation and molding of lightweight, advanced composite ... Pursuing a BS degree in materials science engineering, chemical engineering, chemistry, with a ...

Teijin Automotive Technologies

Intern

Auburn Hills, MI

$14.25 - $19/hr

CSP is the industry leader in the formulation and molding of lightweight, advanced composite ... Pursuing a BS degree in materials science engineering, chemical engineering, chemistry, with a ...

previous pagenext page

Showing results 21-40

All JobsFormulation Scientist JobsFormulation Scientist Jobs in Michigan

Formulation Scientist information

See Michigan salary details

$17

$32

$63

How much do formulation scientist jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for formulation scientist in Michigan is $32.78, according to ZipRecruiter salary data. Most workers in this role earn between $22.02 and $37.93 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a formulation scientist?

To thrive as a Formulation Scientist, you need a strong background in chemistry, pharmaceutical sciences, or a related field, usually supported by at least a bachelor's or master's degree. Familiarity with laboratory instrumentation, analytical techniques (such as HPLC or GC), and regulatory guidelines is essential, and relevant certifications like Good Laboratory Practice (GLP) can be advantageous. Strong problem-solving abilities, attention to detail, and effective teamwork and communication skills help distinguish outstanding performers. These competencies are crucial for developing safe, effective products and ensuring compliance with industry standards.

What are some common challenges a formulation scientist faces when developing new products?

Formulation Scientists often encounter challenges such as ensuring product stability, optimizing ingredient compatibility, and meeting strict regulatory standards. Balancing the desired efficacy and sensory attributes of a formulation while maintaining cost-effectiveness can require extensive experimentation and problem-solving. Additionally, working closely with cross-functional teams like analytical chemistry, quality assurance, and manufacturing is essential to address scale-up issues and ensure a seamless transition from lab to production.

What is the difference between Formulation Scientist vs Chemist?

AspectFormulation ScientistChemist
Required CredentialsBachelor’s or Master’s in Chemistry, Pharmaceutical Sciences, or related fieldsBachelor’s or Master’s in Chemistry or related fields
Work EnvironmentLaboratories focused on product development, formulation, and testingResearch labs, manufacturing, or quality control settings
Industry UsagePharmaceuticals, cosmetics, food, and chemical industriesBroadly across chemical manufacturing, research, and academia

Formulation Scientists specialize in developing and optimizing product formulations, often working closely with R&D teams to create new products. Chemists have a broader scope, including analyzing substances, conducting experiments, and understanding chemical properties. While both roles require chemistry knowledge and lab skills, Formulation Scientists focus more on product development and application-specific formulations, whereas Chemists may work on fundamental research or quality analysis.

What is a formulation scientist?

A formulation scientist designs, develops, tests, and evaluates products. Their job duties involve blending and mixing chemical components to create effective products, often for the pharmaceutical or cosmetics industries. Formulation scientists play an integral role in the product development process by implementing testing procedures, inspecting manufacturing approaches, and creating detailed reports to fix errors and promote improvements. To become a formulation scientist, you need a bachelor’s degree in chemistry or a related field, although many also pursue master’s degrees or a doctorate.

More about Formulation Scientist jobs
What are the most commonly searched types of Formulation Scientist jobs in Michigan? The most popular types of Formulation Scientist jobs in Michigan are:
What are popular job titles related to Formulation Scientist jobs in Michigan? For Formulation Scientist jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Formulation Scientist jobs in Michigan look for? The top searched job categories for Formulation Scientist jobs in Michigan are:
What cities in Michigan are hiring for Formulation Scientist jobs? Cities in Michigan with the most Formulation Scientist job openings:
What are popular job titles related to Formulation Scientist jobs in MI? For Formulation Scientist jobs in MI, the most frequently searched job titles are:
Formulation Scientist jobs near you
Infographic showing various Formulation Scientist job openings in Michigan as of August 2026, with employment types broken down into 2% Internship, 1% As Needed, 83% Full Time, 10% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $68,190 per year, or $32.8 per hour.

Sr. Staff Data Scientist - Machine Learning & AI (Quality, Vehicle & Engineering Analytics)

Stellantis

Auburn Hills, MI • On-site

Full-time

Re-posted 20 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

14th of 44 rated automakers

Job description

About the Role:
We are looking for a Senior Staff Data Scientist (ML/AI) to serve as a technical leader, architect, and individual contributor within the Machine Learning & AI Engineering team at Stellantis.
This role sits at the intersection of machine learning, advanced analytics, experimentation, and large-scale vehicle/IoT data systems. You will define and influence how ML and AI are used across vehicle quality, engineering systems, and customer experience outcomes.
This is a high-impact, senior IC role (Staff/Principal level influence) responsible for shaping technical strategy, designing scalable ML systems, and driving measurable business outcomes such as quality improvement, warranty reduction, and customer experience enhancement.
What You Will Do:
Technical Leadership & ML Strategy (Staff-Level Ownership)
  • Define and evolve the ML/AI architecture and framework supporting quality, engineering, and vehicle analytics across the organization
  • Set technical direction for:
    • Machine learning systems
    • Experimentation platforms
    • Data science architecture
  • Act as a trusted technical advisor to senior leadership on:
    • Model feasibility
    • Trade-offs (accuracy, scalability, cost, interpretability)
    • Business impact of ML/AI initiatives
  • Influence roadmap decisions across engineering and product organizations

Advanced Machine Learning & Statistical Modeling
  • Develop and deploy predictive, prescriptive, and causal models using:
    • Vehicle data
    • IoT sensor data
    • Enterprise datasets
  • Apply advanced techniques including:
    • Statistical modeling
    • Machine learning algorithms
    • Deep learning / neural networks
  • Lead root cause analysis for vehicle quality, performance, and system failures
  • Design and build LLM-based systems and agentic AI solutions for engineering and quality use cases

Data Science Platform & Scalable Systems
  • Architect and guide development of large-scale distributed data and ML systems
  • Build and scale analytics pipelines using Spark-based distributed processing frameworks
  • Lead ML model lifecycle management, including:
    • Training
    • Validation
    • Deployment
    • Monitoring in production
  • Ensure models and systems are:
    • Explainable
    • Reliable
    • Production-ready
    • Compliant with automotive/regulatory standards

Experimentation & Product Impact
  • Own and evolve the experimentation framework/platform for safe, scalable testing of vehicle and software features
  • Design statistically sound experiments (A/B tests and beyond)
  • Translate experimental results into clear product and engineering decisions
  • Drive measurable business outcomes including:
    • Warranty cost reduction
    • Improved product quality
    • Enhanced customer experience
    • Revenue-impacting insights

Influence, Mentorship & Knowledge Sharing
  • Mentor senior and mid-level data scientists, raising technical standards across the team
  • Help teams with:
    • Problem formulation
    • Research design
    • Statistical interpretation
  • Contribute to internal knowledge systems and external-facing technical content (e.g., blogs or papers)
  • Serve as a cross-functional leader bridging engineering, product, and executive teams

What Success Looks Like (Top Performers)
Strong candidates will demonstrate:
  • Proven impact from deployed ML systems or production analytics products
  • Quantifiable improvements in:
    • Vehicle quality
    • Warranty reduction
    • Customer experience metrics
  • Ability to influence technical strategy beyond their immediate team
  • Strong communication skills with executive and non-technical stakeholders

Demonstrated ability to turn complex analysis into business decisions and outcomes
Basic Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field
  • A minimum of 8 years of experience in data science, advanced analytics, or machine learning, including a minimum of 5 years of hands-on experience with Databricks, Palantir, Snowflake, or AWS SageMaker
  • Expert-level proficiency in:
    • Python (or R)
    • SQL
  • Strong foundation in:
    • Machine learning algorithms
    • Statistical modeling
    • Neural networks / deep learning
  • Experience building ML solutions on distributed systems (e.g., Spark)

Preferred Qualifications:
  • Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field
  • Experience with:
    • Large Language Models (LLMs)
    • Fine-tuning foundation models
    • Agentic AI systems
  • Experience building ML solutions in engineering, automotive, propulsion, or battery systems
  • Strong understanding of vehicle quality (QA), reliability, or manufacturing analytics
  • Experience working in high-scale enterprise or regulated environments

What Stellantis employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply