June 28
• Responsible for core data intelligence features, exploratory data analysis, user-facing insight generation, and publication of findings to the world • Improve core intelligent features such as Pod temperature actuation • Develop user-facing insights that link behavior, physiology, and Pod actuation • Data analysis of research studies that lead to new features, including data engineering of study data • Collaborate with Product, Software, and Marketing to productionize features
• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or equivalent • 4+ years of industry experience as a data scientist, including: • 1+ years of working with time-series human physiology data • 2+ years of machine learning experience, including classical techniques and deep learning • 2+ years applying statistics to real-world data • Proficient in Python or R; able to run common statistical tests (e.g. t-tests, ANOVA, multiple regression, linear mixed models) Data visualization tools (e.g. plotly, seaborn, ggplot2, matplotlib) SQL and Github • Experience shipping features into production • Able to clearly communicate, is attentive to detail, and is adaptable to changes in a fast-paced environment
• Flexible PTO • 100% employer contribution for medical/dental/vision insurance • Role ownership, and uncapped growth opportunities
Apply NowJune 14
501 - 1000
Analyze experiments to improve Wave's product and customer experience.
June 3
11 - 50