MyPage is a personalized page based on your interests.The page is customized to help you to find content that matters you the most.


I'm not curious

Data Scientist

Location New York, United States
Posted 18-September-2018
Description
Job description: Work with an interdisciplinary technical team to develop statistical models in Quartet s platform.Apply data mining and machine learning techniques to develop better personalization and recommendation for patients and doctors needs.Design and develop effective models, features, and algorithms involving multiple datasets - user activity, EHR, ADT, medical claims, pharmacy claims, lab test claims etc.Derive insights from descriptive analysis that drive a data-informed process for experimenting with new products to improve patient outcomes. Qualifications Experience building high quality data products.4+ years experience as a data scientist, software engineer with predictive modeling, or similar experience of solving real problems with data mining and machine learning techniques.PhD or Master s Degree in computer science, machine learning, applied statistics, physics, or a related quantitative discipline.Proficiency in building Machine Learning (supervised and unsupervised) models and recommendation systems.Strong knowledge of mathematical fundamentals: probability theory, linear algebra and statistics.Ability to execute, starting from problem definition, to a working implementation.Ability to clearly communicate across disciplines and work collaboratively.Proficiency in Python and code versioning systems like git.Expertise with data science toolkits like scikit-learn and pandas.Knowledge of software architectures and tools such as Scala, Hadoop.Familiarity working in a Linux server-based environment.

 
Awards & Accolades for MyTechLogy
Winner of
REDHERRING
Top 100 Asia
Finalist at SiTF Awards 2014 under the category Best Social & Community Product
Finalist at HR Vendor of the Year 2015 Awards under the category Best Learning Management System
Finalist at HR Vendor of the Year 2015 Awards under the category Best Talent Management Software
Hidden Image Url

Back to Top