Principal Data Scientist
Greater NYC Area
3 weeks ago
Apply machine learning, data mining, and statistical analysis techniques to large health data sets to build new products and methodologies.
Own responsibilities related to project and people leadership, including leading data scientists and analysts.
Collaborate closely with a team of data scientists, product managers, and executives to discover and deliver product offerings from prototype to massive scale.
Explore and find meaning in high volumes of data to evaluate data quality and extract actionable insights that will help drive business decisions; execute data querying, data cleansing, and experiment design.
Rapidly build prototype product solutions, communicate findings, and iterate.
Draw from prior experience and technical expertise to identify product improvements and inform testing plans; break overall objectives down into underlying problems that can be prioritized and solved.
Work with product and engineering teams to improve and implement methods and features.
Master core parts of the Crossix technology platform. Technologies include Spark, SQL, Python, R, AWS, and proprietary data mining software.