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Food Data Scientist Jobs in Michigan (NOW HIRING)

Domino's

Data Scientist

Ann Arbor, MI · On-site

... mention, great food! In the rise to becoming a true technology leader, the brand is now ... Qualifications Years Of Experience * 1 to 3 years of professional experience in data science or ...

Domino's Pizza

Data Scientist

Ann Arbor, MI · On-site

... mention, great food! In the rise to becoming a true technology leader, the brand is now ... Years Of Experience * 1 to 3 years of professional experience in data science or related analytical ...

Domino's Corporate

Data Scientist

Ann Arbor, MI

... mention, great food! In the rise to becoming a true technology leader, the brand is now ... Years Of Experience * 1 to 3 years of professional experience in data science or related analytical ...

Domino's Pizza

Data Scientist

Ann Arbor, MI · On-site

... mention, great food! In the rise to becoming a true technology leader, the brand is now ... Qualifications Years Of Experience * 1 to 3 years of professional experience in data science or ...

Kalsec, Inc.

Senior Scientist - Color Innovation

Kalamazoo, MI · On-site

$86K - $118K/yr

Strong knowledge of food chemistry and ingredient interactions * Hands-on laboratory experience including formulation, extraction, and analytical testing * Ability to translate scientific data into ...

Eurofins

HPLC Scientist - 2nd Shift

Portage, MI · On-site

From the food you eat, to the water you drink, to the medicines you rely on, Eurofins laboratories ... Processes data, generates reports, and evaluates data * Writes investigations * Leads project/test ...

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Food Data Scientist information

What is a food data scientist?

Food Data Scientists are professionals who use data analysis, machine learning, and statistical methods to solve problems in the food industry. They analyze large datasets from sources like food production, quality control, consumer preferences, and supply chains to optimize processes, improve food safety, and develop new products. Their work helps companies make data-driven decisions on product development, marketing, and resource management, ultimately enhancing efficiency and innovation in the food sector.

How does a food data scientist typically collaborate with cross-functional teams in the food industry?

Food Data Scientists often work closely with product developers, nutritionists, quality assurance teams, and marketing professionals. Their role involves analyzing large datasets to uncover trends in consumer preferences, ingredient performance, and supply chain efficiency. Effective communication is key, as they must translate complex data findings into actionable insights for colleagues who may not have a technical background. This collaborative environment fosters innovation and ensures that data-driven decisions positively impact product development and business strategies.

What are the key skills and qualifications needed to thrive as a food data scientist, and why are they important?

To thrive as a Food Data Scientist, you need a strong background in statistics, data analysis, and food science, typically supported by a relevant degree such as food technology, data science, or a related field. Proficiency with programming languages like Python or R, machine learning frameworks, and data visualization tools is essential, along with experience using food industry databases. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex data and present actionable insights to diverse stakeholders. These skills are crucial because they enable you to drive innovation, ensure food quality, and support data-driven decision-making in the food industry.

What is the difference between Food Data Scientist vs Food Analyst?

AspectFood Data ScientistFood Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; knowledge of programming languages like Python or RDegree in Food Science, Nutrition, or related field; analytical skills
Work EnvironmentData-driven projects, research labs, or R&D departmentsQuality control, product testing, or market research in food companies
Employer & Industry UsageFood manufacturing, research institutions, tech companiesFood production, retail, government agencies

Food Data Scientists focus on analyzing large datasets to optimize food products and processes, while Food Analysts primarily evaluate food quality, safety, and compliance. Both roles are essential in the food industry but differ in their core responsibilities and skill sets.

What are popular job titles related to Food Data Scientist jobs in Michigan?

For Food Data Scientist jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Food Data Scientist jobs in Michigan look for?

The top searched job categories for Food Data Scientist jobs in Michigan are:

Food Data Scientist jobs near you

Data Scientist

Ann Arbor, MI • On-site

Domino's
Food and Beverage Stores • 10K+ employees

4.8

Company rating: 4.8 out of 10

Based on 1,938 frontline employees who took The Breakroom Quiz

20th of 24 rated food delivery companies

Free food

Recommended by students

Respectful managers

Learn more about Domino'sexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Company Description
Domino's Pizza, which began in 1960 as a single store location in Ypsilanti, MI, has had a lot to celebrate lately: we're a reshaped, reenergized brand of honesty, transparency and accountability - not to mention, great food! In the rise to becoming a true technology leader, the brand is now consistently one of the top five companies in online transactions and 65% of our sales in the U.S. are taken through digital channels. The brand continues to deliver the dream' to local business owners, 90% of which started as delivery drivers and pizza makers in our stores. That's just the tip of the iceberg...or as we might say, one "slice" of the pie! If this sounds like a brand you'd like to be a part of, consider joining our team!
Job Description
Drive new store openings in our domestic and largest international markets by transforming large geospatial datasets into actionable insights. Build a strong knowledge of available internal and external data sources. Mine and synthesize across data sources to help address opportunities leveraging geospatial data and analytic techniques. Conduct analyses to address ad hoc requests of ongoing project work. Assist in developing the machine learning (ML) and artificial intelligence (AI) components of an in-house Store Development Mapping Platform (DMAP), creating test and measurement plans and executing those plans. Continually innovate and improve upon existing methodologies and products. Consult on data collection for new products to ensure all tracking is in place for future analysis. Manipulate and analyze large, complex geospatial datasets, ensuring data quality and accessibility for advanced analytics. Work in a fast-paced, challenging environment with opportunities for skill enhancement.
Responsibilities
  • Conducts data collection, cleaning, and preprocessing to prepare datasets for analysis.
  • Develops and implements basic statistical models and machine learning algorithms to address defined business problems.
  • Collaborates with cross-functional teams to understand data requirements and deliver actionable insights.
  • Documents methodologies, processes, and results to ensure reproducibility and knowledge sharing.
  • Monitors model performance and assists in maintaining data pipelines and analytical tools.

Job Tasks
  • Extracts and transforms data from multiple sources using standard querying and scripting techniques.
  • Builds and validates predictive models using established algorithms and frameworks.
  • Generates reports and visualizations to communicate findings to stakeholders.
  • Assists in troubleshooting data quality issues and refining data collection processes.
  • Participates in code reviews and applies feedback to improve analytical solutions.

Skills
  • Proficient in data manipulation and exploratory data analysis with attention to data quality.
  • Basic understanding of machine learning concepts and ability to apply standard algorithms.
  • Effective communication skills for presenting technical information to non-technical audiences.
  • Ability to work under general supervision while managing multiple routine tasks.
  • Familiarity with version control and collaborative development practices.
  • Experience with geospatial data analysis tools, including ArcGIS (arcpy), Pandas/GeoPandas, Geospatial SQL, etc

Software Application
  • Python for data analysis and modeling.
  • SQL for data extraction and manipulation
  • Experience with ArcGIS.
  • Data visualization tools such as Tableau, Power BI, or matplotlib/seaborn libraries.
  • Jupyter Notebooks or similar integrated development environments.
  • Version control systems such as Git.
  • Experience with Fast API creation (i.e. functional programming, automated testing, performance optimization techniques)
  • Experience applying algorithms to large-scale data (e.g. supervised/unsupervised, optimization/solver)
  • Experience with Geospatial data types

Physical Requirements
  • Primarily sedentary work involving extended periods of computer use. Occasional requirement to attend meetings or collaborate in team environments.

Qualifications
Years Of Experience
  • 1 to 3 years of professional experience in data science or related analytical roles.

Education
  • Completion of a degree in a quantitative field such as Computer Science, Statistics, Mathematics, Engineering, or a related discipline.

Additional Information
Benefits:
• Paid Holidays and Vacation
• Medical, Dental & Vision benefits that start on the first day of employment
• No-cost mental health support for employee and dependents
• Childcare tuition discounts
• No-cost fitness, nutrition, and wellness programs
• Fertility benefits
• Adoption assistance
• 401k matching contributions
• 15% off the purchase price of stock
• Company bonus
All your information will be kept confidential according to EEO guidelines.
Domino's logo

About Domino's

Sourced by ZipRecruiter

Since 1960, we've grown from just one store to become the #1 pizza company in the world. To get there and continue to go above and beyond, it takes persistent passion, incredible vision, and bold thinking. It takes every one of our employees feeling like they have pizza sauce running through their veins. What's life like at Domino's Whatever your role at Domino’s, you’ll find life here is exciting, enormously fun, and always asks you to think on your feet. If you bring your passion, drive, and a purpose to perform, there are real growth opportunities across the brand. Many people find that what starts as a day job becomes a fulfilling career, surrounded by amazing people who make sure each new day tops the last. That’s what we mean by the power of possible. We are made better together In a Domino’s corporate job, our leaders work hard to create a level playing field where corporate team members can succeed, innovate, and above all, feel like they belong. See how different backgrounds make us better, and how your unique talents could power what’s possible in a Domino’s corporate career.

Industry

Food and beverage stores, real estate and food services and drinking places

Company size

10,000+ Employees

Headquarters location

Ann Arbor, MI, US

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What Domino's employees say

Pay

Benefits

Hours and flexibility

Workplace

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