Senior Data Scientist

ZOE; Myrtle Point (OR); Remote; USD 100,000 - 130,000; Full time

Job summary

A leading nutrition science company in Myrtle Point is seeking a Senior Data Scientist to partner with product and engineering teams. The role involves designing data-driven features and evaluating ML models to enhance user experience. Ideal candidates have 6+ years in data science, a degree in a quantitative field, and strong coding skills in Python and SQL. This position supports a remote-first work culture and offers competitive compensation with a focus on professional growth.

Benefits

Health insurance

Flexible work environment

Professional development opportunities

Qualifications

• 6+ years of experience in data science or ML engineering.
• Strong foundation in statistics including hypothesis testing.
• Proven experience building and evaluating ML models.

Responsibilities

• Design and deploy ML models to improve products.
• Develop frameworks for AI feature evaluation.
• Collaborate with product managers for data analyses.

Skills

Data science

Machine learning

Statistical analysis

Python programming

SQL

Education

Degree in a quantitative field

Tools

Python (pandas, NumPy, scikit-learn)

SQL/DBT/BigQuery/Airflow

Job description

Overview

We Are Redefining How People Approach Their Health

ZOE is the science and nutrition company leading a movement to transform the health of millions. We exist because the food we eat is making us sick. Most of what we are taught about food is wrong. ZOE runs the world’s largest nutrition science study to find scientifically proven solutions. Our randomised controlled trial of ZOE proves that if you eat the right food for your body, you can feel healthier in weeks and be on track for more healthy years. ZOE can change the way you eat, feel, and live. We host world-leading scientists on our podcast and bring proven science to your plate with Daily30+, our 30+ plant supplement. Over 100,000 people rely on ZOE Membership, our personalised nutrition program, to make smarter food choices. ZOE Membership turns complex science into clear step-by-step actions, helping you improve your health with every meal. ZOE means life — and you can change your life with food.

Visit our career page and become a ZOEntist

The Role

As a Senior Data Scientist at ZOE, you will partner with product, engineering, and science to turn data into valuable insights and features that shape our product and drive impact across the organisation. You’ll lead analyses that guide product decisions, build and evaluate ML/AI models, and contribute to production-ready data solutions. This role is ideal for someone with genuine curiosity and a drive to uncover insights from data. We’re looking for a generalist with a strong track record of applying data science to solve business and product problems.

The Team

You’ll be joining the Data Science team at ZOE, which works closely with stream-aligned product squads while also dedicating time to high-impact, cross-cutting initiatives that support the wider organisation.

The team drives three core work streams: science-led features, AI-powered products, and data-driven product development. In practice, this means turning cutting-edge research into features our members use every day, building intelligent systems that personalise and scale the ZOE experience, and conducting deep-dive analyses that shape product strategy and move science forward. By working across these areas, the team plays a pivotal role in shaping both what we build and how we deliver value to our members.

What You’ll Be Doing

• Design, build, and deploy data-driven features and ML models that improve our product and user experience.
• Develop and iterate on evaluation frameworks to continuously improve our AI features.
• Write, test, and maintain clean, production-ready code in Python (pandas, NumPy, scikit-learn), and SQL/DBT/BigQuery/Airflow.
• Partner with product managers to run analyses that uncover insights and guide decisions.
• Collaborate with engineers to define data contracts and ensure pipelines meet requirements for granularity, latency, and quality.
• Communicate findings through decks, dashboards, or Looms to drive data-informed decisions.
• Take full ownership of your work (i.e. from ideation to model development and deployment).
• Bringing an entrepreneurial mindset to your day-to-day work and love to go above and beyond.
• Champion our scientific yet agile approach: start with a hypothesis, seek evidence, and iterate fast.

We think you would be great if you…

• 6+ years of professional experience in data science and/or ML engineering.
• Degree in a quantitative field (e.g., Applied Maths, Physics, Statistics, Computer Science)
• Proven experience building and evaluating ML/AI models and conducting product-focused analyses.
• Strong foundation in statistics, including hypothesis testing, experiment design, and causal inference.
• Hands-on experience with production-level Python codebases, developing substantial components and features, plus strong SQL skills.
• Track record of shipping production code/models and collaborating with engineers in fast-paced environments.
• Comfort using AI tools to enhance day-to-day productivity—from IDE assistants to prompt engineering.
• Curiosity and drive to use data to uncover insights and create business value.
• Excellent communication and collaboration skills, from delivering clear presentations to stakeholders to conducting deep-dive code reviews.
• Commitment to our #ActFast value: optimise for reversible decisions, take smart risks, and move quickly with imperfect data.

Our Hiring Journey

• Stage 1: Talent Acquisition Interview | 40 mins A friendly chat with our Talent team to understand your background, career goals, and motivations for joining ZOE. This is also a great opportunity to ask any early questions about the role, team, or culture.
• Stage 2: Hiring Manager Interview | 45 mins A focused conversation with the Hiring Manager. We’ll explore your experience as a Data Scientist, the types of problems you’ve solved, and how you approach challenges in data, modeling, and experimentation.
• Stage 3: Final Interview Loop This final stage includes a mix of technical and collaborative interviews. These are typically spread over 2–3 days, but we’re happy to combine them depending on scheduling needs. You’ll need to progress successfully through each step to move to the next. We\'ll keep you updated at every stage.
• Technical Interview | 60 mins You’ll be presented with a mix of data science–focused problems, including case study and coding elements. We’ll explore your technical depth, problem-solving approach, and ability to reason about trade-offs.
• Cross-Functional Collaboration Interview | 45 mins This session looks at how you work with partners beyond Data Science — from Engineering to Product — to align on goals, communicate insights, and influence decisions.
• Leadership & Values Interview | 45 mins This conversation focuses on your ways of working, values, and how you handle complex challenges. We’ll explore how you collaborate, make decisions under ambiguity, and embody ZOE’s values.
• Offer Stage If all goes well, we’ll move quickly to extend an offer and support you through your decision-making process.

The experience, skills, and attributes listed above reflect what we believe will contribute to success in this role. If you're passionate about ZOE and the opportunity, but don't meet 100% of the criteria, we still encourage you to apply. We are committed to supporting growth and are happy to offer up-skilling opportunities where possible.

Remote Philosophy

ZOE is a remote-first company, meaning remote work isn’t just an option — it’s how we work best. We are intentional about building a distributed, high-performing team where collaboration, trust, and flexibility thrive. We design our workflows around asynchronous communication and shared documentation to support autonomy, focus, and cross-timezone collaboration. While our teams work independently, connection and teamwork remain central to how we operate — through regular rituals, meaningful virtual interactions, and in-person gatherings every quarter. These include team offsites and a yearly company-wide retreat to build relationships, spark creativity, and have fun together.

Being remote-first also means we value outcomes over hours and trust our team members to manage their work in a way that suits their unique rhythm and responsibilities. This approach allows us to support a truly flexible work environment, while staying aligned with our mission and values.

At ZOE, working remotely doesn’t mean working alone — it means being empowered, supported, and connected, wherever you are.

Compensation Philosophy

We are committed to offering competitive and equitable compensation that reflects the value of each role and aligns with regional labor market standards. Our approach to compensation goes beyond just base salary — we offer a comprehensive package that includes base pay and stock options, ensuring that every team member is rewarded for their contributions to the company’s growth and success.

We believe that building a thriving team requires not only providing fair and competitive compensation but also fostering an environment where success is shared collectively. Our total compensation package is designed to support the well-being of our employees, recognise their individual contributions, and empower them to grow alongside ZOE.

Benefits & Perks

We understand the significant role our benefits play in motivating, inspiring and safeguarding our employees' well-being. Our benefits strategy is thoughtfully designed to echo our mission and values, recognising the diverse needs arising from different life stages of our ZOEntists.

Our approach to benefits takes an inclusive and flexible view of both personal and professional growth. From competitive health insurance and wellness packages to inclusive parental policies, building connection, and tailored professional development programs, we've got you covered.

At ZOE, we continue to build a benefits package that invests in our team members’ long-term personal and professional growth and wellbeing, adding to this list as it evolves.

Equal opportunities

We are committed to fostering a diverse and inclusive team where every individual can bring their authentic self to work. We believe that this is key to our success and are dedicated to positively impacting the tech industry. As part of our commitment to equal opportunities, we encourage candidates from underrepresented backgrounds to apply. We ensure a respectful and inclusive environment for all and do not discriminate on the basis of race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, marital status, disability, or age. If you require any accommodations during the interview process, please feel free to inform us, and we will make every effort to support your needs.