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Freelance Food Science Consultant Jobs (NOW HIRING)

Uncountable

ML Solution Consultant

New York, NY · On-site

$110K - $130K/yr

As an ML Solution Consultant at Uncountable, you'll be the person who bridges deep technical ... Exposure to product development processes in materials, chemicals, pharmaceuticals, food science ...

Pharmatech, Inc.

Product Development Scientist

Lindon, UT · On-site

$80K - $100K/yr

... consulting, & technology that could help bring competitive advantage. * Maintain a working ... Sound foundation in Food Science / Chemistry * Firm understanding of ingredient functionality ...

Pharmatech, Inc.

Product Development Scientist

Lindon, UT · On-site

$80K - $100K/yr

... consulting, & technology that could help bring competitive advantage. * Maintain a working ... Sound foundation in Food Science / Chemistry * Firm understanding of ingredient functionality ...

Post Consumer Brands

Site Food Scientist II

Troy, AL · On-site

Act as the plant representative and technical consultant for product and process changes ... Bachelor's degree (or higher) in Food Science, Food Engineering, Chemical Engineering, Agricultural ...

Post Consumer Brands

Site Food Scientist II

Troy, AL · On-site

Act as the plant representative and technical consultant for product and process changes ... Bachelor's degree (or higher) in Food Science, Food Engineering, Chemical Engineering, Agricultural ...

Exponent Inc.

Human Factors Scientist (Ph.D.)

Manhattan, NY · On-site

$105K - $120K/yr

D. in Sensory Science, Food Science, or a related psychology discipline * Currently based in or ... Our consultants engage in-person in the office unless they are traveling for client work or other ...

Curio Wellness

Formula Science Manager

Towson, MD · On-site

The Formula Scientist supports the development of best-in-class, science-driven cannabis products ... consultants and managing technical workstreams. * Experience in food/beverage sector, dietary ...

Hirekeyz Inc

Scientist II

College Park, MD · Remote

Assists other senior level consultants with analysis and evaluation and with the preparation of ... Knowledge of the principles, theories, practices and procedures of nutrition, food science, or ...

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Freelance Food Science Consultant information

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$10

$16

$21

How much do freelance food science consultant jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for freelance food science consultant in the United States is $16.76, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $18.27 per hour, depending on experience, location, and employer.

What is a freelance food science consultant?

A Freelance Food Science Consultant is an independent expert who provides advice and solutions related to food product development, safety, quality, and regulatory compliance. They typically work with food manufacturers, startups, or restaurants to help improve recipes, troubleshoot production issues, and ensure adherence to food laws. Unlike full-time employees, freelance consultants work on a contract basis, allowing clients to access specialized expertise as needed. Their work may also include training staff, conducting shelf-life studies, and guiding businesses to meet industry standards.

What are the key skills and qualifications needed to thrive as a freelance food science consultant, and why are they important?

To thrive as a Freelance Food Science Consultant, you need a robust background in food science, chemistry, or a related field, often supported by an advanced degree and relevant industry experience. Familiarity with food safety regulations, analytical testing equipment, and data analysis software is typically required. Excellent communication, project management, and problem-solving skills help consultants build trust and deliver tailored solutions to clients. These skills ensure the consultant can provide accurate guidance, meet client needs, and uphold food safety and quality standards.

What are some common challenges freelance food science consultants face when working with multiple clients simultaneously?

Freelance food science consultants often juggle projects for several clients at once, which can present challenges in managing deadlines, aligning with different organizational cultures, and adapting to varied project scopes. Effective time management and clear communication are essential to ensure client expectations are met and project milestones are achieved. Additionally, consultants must quickly get up to speed on each client's unique requirements and regulatory considerations, which requires strong organizational skills and industry knowledge.

What is the difference between Freelance Food Science Consultant vs Food Scientist?

AspectFreelance Food Science ConsultantFood Scientist
CredentialsDegree in Food Science or related field; certifications varyDegree in Food Science or related field; often with certifications
Work EnvironmentIndependent, project-based, often remoteResearch labs, manufacturing facilities, or corporate settings
Employer & Industry UsageClients in food industry, startups, or consulting firmsFood companies, research institutions, government agencies
Search & Comparison IntentYes, often compared for consulting rolesCommonly searched for in employment contexts

In summary, Freelance Food Science Consultants typically work independently on specific projects for various clients, while Food Scientists are employed by organizations in research or product development roles. Both roles require similar educational backgrounds, but their work environments and employment structures differ significantly.

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What are the most commonly searched types of Food Science Consultant jobs?

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Freelance Food Science Consultant jobs near you
Infographic showing various Freelance Food Science Consultant job openings in the United States as of August 2026, with employment types broken down into 70% Full Time, and 30% Part Time. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $34,865 per year, or $16.8 per hour.

ML Solution Consultant

Uncountable

New York, NY • On-site

$110K - $130K/yr

Full-time

Medical, Dental, Retirement

Re-posted 13 days ago

Key responsibilities

  • Partner directly with R&D teams at enterprise customers to understand their scientific challenges, data environments, and experimentation workflows

  • Guide customers through onboarding onto Uncountable's ML tools, ensuring data is well-structured and models are configured to reflect their specific scientific context

  • Act as a subject-matter expert in statistical modeling, machine learning, and experimental design - advising customers on strategies that maximize the value of their data

Job description

Thank you for your interest in Uncountable Implementations!
About Uncountable
Science moves slowly - not because researchers aren't brilliant, but because their tools haven't kept up. Uncountable is changing that. We build a unified R&D platform used by the world's leading chemists, material scientists, and biologists to dramatically accelerate how new products are discovered, developed, and brought to market.
Founded by engineers from MIT and Stanford, and trusted by enterprise R&D organizations across chemicals, pharmaceuticals, advanced materials, and food & beverage, Uncountable is on a mission to accelerate industrial R&D by an order of magnitude. We're a high-impact team that moves fast and gives people real ownership from day one.
The Role
Machine learning is only as powerful as the people who can apply it in context - and in industrial R&D, that context is everything. As an ML Solution Consultant at Uncountable, you'll be the person who bridges deep technical expertise in data science and statistical modeling with a genuine understanding of how R&D scientists think, experiment, and make decisions.
You'll work directly with leading R&D organizations to deploy Uncountable's AI capabilities, guiding customers through the full arc of adoption: from understanding their scientific challenges and data structures, to designing optimal experimentation strategies, to ensuring they're extracting real, measurable value from our platform's ML tools.
This is not a back-office data science role. You'll be customer-facing, highly autonomous, and operating at the frontier of applied ML in science - advising PhD-level researchers and R&D directors on how to use AI to accelerate their most important work. You'll also have a direct line to product and engineering, shaping how our platform evolves based on what you see in the field.
If you want to do meaningful applied ML work that reaches the real world - and have the communication skills to bring scientists along with you - this role is for you.
What You'll Do
Deploy AI Capabilities with Customers
  • Partner directly with R&D teams at enterprise customers to understand their scientific challenges, data environments, and experimentation workflows
  • Guide customers through onboarding onto Uncountable's ML tools, ensuring data is well-structured and models are configured to reflect their specific scientific context
  • Help customers interpret model outputs, act on recommendations, and build confidence in AI-driven experimentation over time

Serve as a Technical and Scientific Expert
  • Act as a subject-matter expert in statistical modeling, machine learning, and experimental design - advising customers on strategies that maximize the value of their data
  • Translate complex ML concepts into clear, actionable guidance for scientists and R&D leaders who may not have a data science background
  • Troubleshoot modeling challenges, identify data quality issues, and design solutions that make the science work

Drive Cross-Functional Impact
  • Collaborate closely with Uncountable's product and engineering teams, bringing structured customer feedback and real-world usage patterns to inform platform development
  • Identify recurring challenges and opportunities across customer engagements that can be addressed through new features or improved workflows
  • Contribute to internal knowledge-sharing on ML best practices, customer patterns, and domain-specific modeling approaches

Requirements
  • ML and data science depth: Strong foundation in machine learning, statistical modeling, or applied statistics - comfortable with experimental design, model evaluation, and working with messy, real-world scientific data
  • Scientific domain fluency: Experience working with R&D data, physical experimentation workflows, or scientific datasets - enough to speak credibly with researchers about their work
  • Communication: Exceptional ability to translate technical concepts into business and scientific value for a wide range of audiences, from bench scientists to R&D directors
  • Software fluency: Comfort working with data science tools and environments (Python, statistical software, or similar); experience with scientific or R&D software a strong plus
  • Autonomy: Ability to manage customer engagements independently, navigate ambiguity, and drive toward outcomes in a fast-paced environment

Preferred Qualifications
  • M.S. or Ph.D. in a quantitative field such as Chemistry, Materials Science, Chemical Engineering, Physics, Data Science, or a closely related discipline
  • Experience in a customer-facing technical role - solutions engineering, technical consulting, or pre/post-sales data science
  • Exposure to product development processes in materials, chemicals, pharmaceuticals, food science, or adjacent industries
  • Familiarity with Bayesian optimization, design of experiments (DoE), or active learning methods in applied settings

Why This Role
  • Applied ML that reaches the real world: Your work accelerates R&D at organizations developing next-generation products - from sustainable materials to life-saving medicines. The models you deploy aren't research artifacts; they're tools scientists use every day
  • Rare scope: You'll operate across scientific domains - coatings, polymers, pharmaceuticals, food science, advanced materials - developing breadth of expertise that's nearly impossible to build elsewhere
  • Scientific credibility meets technical depth: This role is built for people who can hold their own both in a conversation about experimental design with a PhD chemist and in a technical discussion with a product engineering team
  • Direct product influence: At our scale, what you learn in the field shapes what we build next. You'll have a real voice in Uncountable's ML roadmap
  • High autonomy, high impact: You'll own your customer relationships and drive outcomes - not execute a playbook

Benefits
  • Competitive base salary with performance bonus and meaningful equity
  • Health and dental insurance
  • 401(k) with employer contribution (US locations)
  • Direct collaboration with a world-class engineering and data science team

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