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Virtual Remote Food Scientist Jobs (NOW HIRING)

Nature's Path

R&D Scientist - US

Oak Brook, IL · On-site +1

$90K - $100K/yr

Stay current on emerging food technologies, ingredients, processing methods and industry trends ... Oak Brook, Illinois | Monday-Thursday onsite & Friday remote $90,000-$100,000 base salary + 10% ...

Nature's Path Foods

R&D Scientist - US

Oak Brook, IL · On-site +1

$90K - $100K/yr

Stay current on emerging food technologies, ingredients, processing methods and industry trends ... Oak Brook, Illinois | Monday-Thursday onsite & Friday remote $90,000-$100,000 base salary + 10% ...

Enterprise Holdings

Data Scientist

Saint Louis, MO · Remote

Team members who choose virtual / remote work should have an adequate space to serve as their home ... As a Data Scientist focused on revenue management, you will design and deploy advanced deep ...

Enterprise Holdings

Data Scientist

Saint Louis, MO · On-site +1

ABOUT THE ROLE The Data Scientist is a key driver of innovation, transforming data into actionable ... Team members who choose virtual / remote work should have an adequate space to serve as their home ...

Enterprise Holdings

Data Scientist

Saint Louis, MO · On-site +1

ABOUT THE ROLE The Data Scientist is a key driver of innovation, transforming data into actionable ... Team members who choose virtual / remote work should have an adequate space to serve as their home ...

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Virtual Remote Food Scientist information

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$160K

How much do virtual remote food scientist jobs pay per year?

As of Sep 15, 2026, the average yearly pay for virtual remote food scientist in the United States is $90,961.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $100,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Virtual Remote Food Scientist jobs?

For Virtual Remote Food Scientist jobs, the most frequently searched job titles are:

Infographic showing various Virtual Remote Food Scientist job openings in the United States as of August 2026, with employment types broken down into 69% Full Time, and 31% Part Time. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $90,961 per year, or $43.7 per hour.

Marketing Analytics Data Scientist

Lakeland, FL • Remote

Publix Super Markets, Inc.
Retail • 10K+ employees
Learn more about Publix Super Markets, Inc.external

Full-time

Re-posted 22 days ago

Publix rating

6.8

Company rating: 6.8 out of 10

Based on 4,741 frontline employees who took The Breakroom Quiz

Job description

Publix is able to offer virtual/remote employment for this position in the following states: FL, GA, AL, TN, SC, NC, VA, KY
This role is responsible for developing and deploying advanced data science and machine learning solutions that drive business performance, enhance customer personalization, and optimize pricing, merchandising, and promotional strategies. The position leverages large-scale data analysis, predictive modeling, and AI-driven systems to generate insights, automate decision-making, and improve customer engagement across channels.
Additional responsibilities include:
  • developing and implementing scalable Data Science Analytical Solutions that rely on machine learning and artificial intelligence to automate and optimize key business processes and help improve efficiency and financial results
  • providing research-based consultation and recommendations regarding the personalization of customer interfaces with Publix
  • contributing to the design and measurement of customer personalization programs at the Marketing channel, omni-channel, product hierarchy, and store level
  • analyzing customer, transaction, and campaign data to identify trends and patterns in marketing campaign performance and/or customer behavior
  • building learning systems that monitor data flows and react to changes in customer preferences, network constraints, and business objectives
  • manipulate large datasets to discover and extract meaningful business information using data mining, statistics, and machine learning techniques
  • developing scalable, efficient processes for large scale data analyses, model development and model implementation
  • analyzing and troubleshooting highly complex systems for accuracy, performance improvement and integration with changes to other enterprise systems

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