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Food Data Scientist Jobs in Oregon (NOW HIRING)

Tofurky

Senior Food Scientist (61026)

Hood River, OR

Design and execute product quality and stability experiments; analyze and interpret data to make ... Degree in Food Science, Food Technology, Chemistry, Biology, Engineering, or a related discipline ...

Tofurky

Senior Food Scientist (61026)

Hood River, OR · On-site

$93K - $100K/yr

Design and execute product quality and stability experiments; analyze and interpret data to make ... Degree in Food Science, Food Technology, Chemistry, Biology, Engineering, or a related discipline ...

Thermo Fisher Scientific

OR

... ensuring food safety to advancing research that helps find cures for cancer. You will join a ... Mentor scientists and technical colleagues in experimental design, data analysis, and scientific ...

Socket.dev

Staff Scientist (Cell Biology)

Eugene, OR · On-site

$120 - $180/hr

... ensuring food safety to advancing research that helps find cures for cancer. You will join a ... Mentor scientists and technical colleagues in experimental design, data analysis, and scientific ...

Instacart

Staff User Researcher - Consumer

OR · On-site +1

... their food behaviors. You'll lead research that spans the full arc from generative discovery to iterative product testing, partnering closely with product, design, data science, marketing, and ...

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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 Oregon?

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

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

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

What cities in Oregon are hiring for Food Data Scientist jobs?

Cities in Oregon with the most Food Data Scientist job openings:

Food Data Scientist jobs near you
Infographic showing various Food Data Scientist job openings in Oregon as of August 2026, with employment types broken down into 40% Full Time, and 60% Part Time. Highlights an 100% In-person job distribution.

Senior Data Scientist, Retention & Product

OR • On-site, Remote

CookUnity
Food and Drink Manufacturing • 51 - 200 employees
Learn more about CookUnityexternal

Full-time

Medical, Vision, Retirement, PTO

Re-posted 8 days ago

Job description

The role:

We're hiring an ML-focused Data Scientist to own retention and churn for CookUnity. In a weekly subscription business, retention is the engine of growth - the gap between a healthy customer and a churned one is often just a few weeks of activity. Your job is to predict who's at risk, understand why they leave, and power the interventions that keep customers ordering and win back the ones who go. This is a hands-on role embedded with Product, CRM, Marketing, and Engineering.

Responsibilities:
  • Churn & retention modeling: Build churn/survival models and lifecycle-state models that flag at-risk customers early and anticipate where each customer is heading.
  • Intervention & reason understanding: Power the retention interventions that act on that risk - save flows, skip/pause deflection, lifecycle messaging - and classify why customers churn so the response fits the reason rather than being generic.
  • Resurrection & win-back: Develop propensity models and personalized experiences that bring churned customers back.
  • Personalization & Next-Best-Action: Decide the right action, offer, and message per customer across product surfaces, with an uplift layer measuring incremental impact.
  • Offer & promo optimization: Determine who gets an incentive, when, and at what value - maximizing retained revenue without over-discounting.
  • Production & MLOps: Own the full model lifecycle and ship models into the systems where they act; handle monitoring, retraining, and drift.
  • Experimentation & incrementality: Design experiments and uplift measurement so we intervene on movable customers and not on those who'd retain anyway.
Qualifications:
  • 5-8+ years in data science, applied ML, or statistics, shipping production models.
  • Retention/churn depth: churn prediction, survival / time-to-event modeling, and lifecycle-state models in a subscription or recurring-revenue context.
  • Causal & experimentation rigor: uplift/incrementality measurement and A/B testing, with the judgment to separate true impact from selection effects.
  • End-to-end ML & MLOps: building, validating, and deploying models in production (CI/CD, registries, containerization, orchestration, monitoring).
  • Engineering & tooling: strong Python (pandas, scikit-learn, gradient boosting; deep learning a plus), SQL, code hygiene and reproducibility.
  • Collaboration: excellent communication; able to embed with Product/CRM/Marketing and turn models into decisions.
  • Education: BS in a quantitative field required; MS/PhD preferred.
  • Ability to leverage generative AI to increase output quality and speed.
Preferred requirements:
  • Subscription marketplaces, food-tech, or consumer marketplaces with a retention mandate.
  • Lifecycle-state / Hidden Markov models for churn.
  • Causal and uplift libraries (e.g. EconML) or survival-modeling packages.
  • Recommenders, embeddings, or personalization for retention and win-back.
Learn More About CookUnity

We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we're looking for, we invite you to explore: CookUnity's Leadership Principles - The values and behaviors that guide how we operate, collaborate, and scale.

We hope this provides valuable insight into our culture and product vision. If this excites you, we'd love to connect!

Benefits

  Health Insurance coverage

 401k Plan

 Unlimited PTO

 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical

 Paid Family leave

 Compassionate Leave: 3-5 days each time the need arises

 A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly

AI-forward workplace: enterprise access to ChatGPT and Claude to help you work smarter and grow faster.

 Wellness perks: access to fitness subsidies to build a healthy lifestyle

 Personalized Spanish coach

 Awesome opportunity to join a company that is looking to change how we eat and how chefs work!

Apply