About Season

Season is a remote first, hybrid startup (with hubs in Austin, NYC and SF) setting out to rethink nutrition-based healthcare. Our platform allows doctors, registered dietitians and other healthcare experts to prescribe Food as Medicine. This prescription, in the form of a consumer app, allows patients to conveniently choose, procure and enjoy the foods that are right for their clinical nutritional needs and which fit their lifestyle, household preferences and tastes - and finally realize the promised benefits of Food as Medicine. 

Season is a series-A stage business backed by Andreessen-Horowitz, LRV Health, 8VC, Bain Capital, Healthy.VC and Grand Central Tech among others. Season recruits, employs, compensates, and promotes regardless of race, religion, color, national origin, gender identity, disability, age, veteran status and other protected status as required by applicable law and as a matter of our company ethics.

About the Role

As a founding member of the data science team at Season, you and your teammates will own the data-driven components of our products, including but not limited to

• NLP models to retrieve clinical and culinary information from multiple data sources

• A recommender system to help users make both personalized and the best diet decisions

• Predictive analysis to optimize food and grocery supply chain

Data scientists at Season work closely with the product and engineering team, as well as the subject matter experts in the clinical and culinary departments. They are responsible for the end-to-end lifecycle of machine learning, including

• Understanding business needs and translating to machine learning tasks

• Collecting and cleaning data, developing automated data pipelines

• Experimenting and building machine learning models

• Deploying models and integrating them into the Season platform

• Monitoring model performance

• Communicating with stakeholders to improve models continuously

This full-stack member in our fast-growing team is expected to wear multiple hats, from typical data scientist to machine learning engineer, data engineer, and sometimes even software engineer.

What you’ll bring

We consider every candidate unique and value what you could bring to us. The list below is some experiences and skills that we think could help you create positive impacts on Season’s mission, but NONE IS A MUST-HAVE. The only minimal qualification is that you share our CULTURE, VALUES, AND PASSION.

• Knowing a programming language well (we use Python)

• Advanced skills of database (we use PostgreSQL)

• Knowledge of machine learning (including deep learning) theories and best practices beyond textbooks

• Experience in using machine learning libraries (we use scikit-learn and PyTorch)

• Experience in using NLP libraries (we use Hugging Face and spaCy)

• Experience in version control in a collaborative environment (we use Git/GitHub)

• Experience in cloud environments (we use AWS, incl. SageMaker, Lambda, ECS, etc.)

• Experience in Docker

• Experience in CI/CD (we use GitHub Action and AWS CodePipeline)

• Experience in infrastructure as code (we use Terraform)

• Contributions to open-source projects (we love to see your GitHub profile)

• Publications in relevant fields (we love to read and learn your work)

• Experience in healthcare (ideally in nutrition) and/or food (ideally in culinary or grocery)

Benefits

• A remote-first work environment with flexible hybrid options

• Competitive salary + stock options

• Unlimited PTO

• Medical insurance covering you and your family (incl. vision and dental)

• 401(k)