This is a remote position.
We are seeking a Data Scientist (Python and R) to join our team. You will be responsible for laying out the framework the methods and models for building learning models and algorithms to generate the consumer focused metrics and sleep tracking models.
Responsibilities:
- Architect the data analysis and learning framework for scalable modeling and measurements and interpretation of data working with structured and unstructured data.
- Transfer data into analysis appropriate formats
- Develop deep dive analysis and machine learnings models of sleep and sleep scoring.
- Conduct exploratory analysis for developing consumer reportable metrics of sleep performance.
- Assist in designing and analyzing experiments to create a rich database of performance and demographic data.
- Work with the cloud data management and analytic teams for establishing a continual learning model of improving our algorithms and measures.
- Build tools for automation of data collation analysis and reporting.
Requirements
- Ph.D. in data science machine learning computer science statistics or informatics (or equivalent experience).
- 3 years of data science and machine learning experience.
- Extensive Modeling and Machine Learning background with actual application experience.
- Experience with manipulating large scale structure and unstructured data.
- Experience with common data science toolkits and statistics.
- Strong communication and interpersonal skills with the ability to work crossfunctionally across teams.
- Strong documentation skills.
- Demonstrated independent operation/development skills.
Preferred Qualifications:
- Experience implementing scalable analytical systems for the cloud.
- Programming background with experience in Matlab R Python.
- Biosignal processing.
Benefits
- Work Location: Remote
- 5 days working
Ph.D. in data science, machine learning, computer science, statistics or informatics (or equivalent experience). 3+ years of data science and machine learning experience. Extensive Modeling and Machine Learning background with actual application experience. Experience with manipulating large scale structure and unstructured data. Experience with common data science toolkits and statistics. Strong communication and interpersonal skills with the ability to work cross-functionally across teams. Strong documentation skills. Demonstrated independent operation/development skills. Preferred Qualifications: Experience implementing scalable analytical systems for the cloud. Programming background with experience in Matlab, R, Python. Bio-signal processing.