Senior R&D Data Scientist, Eight Sleep

• Bachelor’s degree in Data Science, Biostatistics, Bioinformatics, Physiology, or similar
• 5 years of work experience as a Data Scientist, including 1+ years of human physiology data analysis in wearables
• 1+ years of human physiology data analysis in wearable space or similar
• Minimum 2 years coding experience in Python or R; must be able to run basic statistical tests (i.e. t-tests, ANOVA, descriptive statistics, multiple regression, Bland-altman plots, MAE, ME, SEE, descriptive statistics)
• Adept at data visualization (plotly, seaborn, matplotlib, etc) & communicate findings cross-functionally
• 1-2+ years of supervised and unsupervised machine learning experience: e.g. regression (ridge, lasso, GAMs, polynomial, smoothing splines, logistic, LDA, QDA, KNN), K-means clustering, PCA, SVMs, tree-based models
• Superior communications skills, excellent time management & organizational skills, high attention to detail, and ability to quickly adapt to changes in a fast-paced environment
• Experience with deploying algorithms into production
• Proficient in SQL and Github

Desirable

• Literature review & experimental design for new features, data analysis, and experiments:
• Ability to review the literature for understanding of physiological changes with temperature regulation and sleep, new exploratory analyses and features
• Competent at experimental design and how to test new features or insights in beta testing, including determining sample sizes required and identifying go/no-go criteria
• Data engineering:
• Ability to parse, time-align, and manage data from multiple sources for data analyses
• Data analysis (statistical analyses and exploratory analyses):
• Data analysis of our R&D studies. This may include validation studies as well as experimental analyses for new features
• Exploratory analyses for new feature generation of current datasets. Ability to think abstractly and openly about a dataset and to uncover key insights from big data
• You will co-write publications, including blog posts, white papers, and peer-reviewed publications
• Insight generation:
• Use machine learning techniques to develop new insights for members that link Pod temperature to physiological changes during sleep (e.g. impact of Pod temperature of sleep stages and HR, HRV, etc)
• Includes working cross functionally with product, marketing, and software teams