Data Scientist
Skills
Data EngineeringArtificial IntelligenceDeep LearningExploratory Data AnalysisPattern RecognitionPlotlyR
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or equivalent
- 4+ years of industry experience as a data scientist
- 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)
- Proficient in data visualization tools (e.g. plotly, seaborn, ggplot2, matplotlib)
- Proficient in SQL and Github
- Experience shipping features into production
- Able to clearly communicate
- Attentive to detail
- Adaptable to changes in a fast-paced environment
Day to day
- Responsible for core data intelligence features and exploratory data analysis
- Generate user-facing insights and publish findings
- Work with human data in the consumer wellness or digital health space
- Collaborate with R&D team in a fast-paced setting to improve sleep and health outcomes for users