Data Scientist

The Strella MissionMore than 40% of all fresh produce is wasted in the US, which accounts for over 17 billion dollars in lost product annually and contributes more carbon dioxide emissions than all of US transportation combined. Globally, food that is never consumed accounts for 7% of the global freshwater supply and 308MM hectares of land. Our goal is to reduce these drastic numbers by making the produce supply chain smarter through data-driven decisions.Strella uses proprietary sensors to predict shelf life in the food supply chain. We use this information to reduce food waste and help deliver better quality produce to consumers. We have been commercialized for 5 years and are currently in our growth stage.RoleWe are looking for an ambitious data scientist with 5+ years of experience to help us build the next generation of our modeling and prediction engine. The applicant must have a strong focus on delivering action-based results that can help customers make better decisions using data. Experience in agriculture is a plus. As a startup, we seek applicants who are self-starters and can wear multiple hats. We are in a rapid growth stage and are looking for people who thrive in a fast-paced environment while maintaining quality. This is an in-person role in either our Seattle or Wenatchee WA office.Responsibilities​Partner with developers, product managers, and business partners to frame problems mathematically and in the right business contextPerform exploratory data analysis to gain a deeper understanding of the problemConstruct and fit statistical, machine learning, or vision modelsImplement advanced analytics techniques to identify key factors impacting the quality and shelf life of fruitsDevelop predictive models and machine-learning algorithms to predict the shelf life of different types of fruitsDesign experimentation strategies for evaluating our modelsCollaborate with developers to implement algorithms in productionAnalyze experimental and observational data; communicate findings; facilitate launch decisionsSkillsBachelors, M.S. or Ph.D. in Machine Learning, Statistics, Operations Research, Optimization, Computer Science, or other quantitative fields or related work experience5+ years of professional experience, startup experience requiredProficiency in machine learning and experimentation. Experience with computer vision is a plusProficiency with Python and working in a production coding environmentPassion for solving unstructured and non-standard mathematical problemsEnd-to-end experience with data, including querying, aggregation, analysis, and visualizationStrong oral and written communication skills, and ability to collaborate and communicate with others to solve a problemBenefits401k matchingHealth & DentalUnlimited PTO