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Senior Data Scientist

Description

The data science team works to define, design, develop and test algorithms in the health/wellness space. You will work with multiple data sources, including Proteus’ proprietary ingestible and wearable sensors and electronic medical records (EMR) data. Our current projects include:
Using EMR data to aid in patient selection for our Proteus Discover products.
Analyze treatment data to optimize clinical patient outcomes.
Improve the signal processing algorithms of our device and sensor data.
Prototype new data product features.
Investigate the entire production and clinical product pipeline to pinpoint bottlenecks of growth.
Visualize results to drive business decisions.
Required:

Ph.D
., MS + 2 years work experience, or B.S. + 4 years work experience in a relevant STEM field (for example physics, EECS, computational biology, math).
Hands on experience of machine learning and data mining: classification, clustering, time-series analysis, and recommender systems; Must be comfortable working with real data.
Strong experience developing data-driven platform technologies, including: data modeling, data collection and aggregation, and analytics.
Significant statistical knowledge, such as probability theory, multivariate analysis, and sampling.
Production level programming skills in Python and PySpark.
Experience with data base managing systems, such as Hadoop, Hive, SQL, Non-SQL.
Experience in agile software development and using repositories like Git.
A technical leader who can wrangle and analyze data to generate insights, make proactive recommendations and socialize them to both internal and external stake holders.
Entrepreneurial nature with an appreciation for business opportunities and a strong passion for solving difficult problems.
Excellent written and verbal communication skills.
Passion for technology and the medical device/digital medicine space.
Ability to work and enjoy a fast-paced startup type environment.
Highly organized with great attention to details.
Bonus:
Experience in health care or wearable devices.
Experience using AWS (e.g. Kinesis, Redshift, S3).
Previous experience using BI tools like Tableau.
Experience with natural language processing, NLP.
Experience in psychology or systems neuroscience.

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