Data Scientist

Short Description

Aptus Health is hiring a Data Scientist who is Statistical expertise in general linear models, correlation and regression analysis.

Job Description

Responsibilities:
  • Importing, cleaning, transforming, validating or modeling data with the purpose of understanding or making conclusions from the data for decision-making purposes.
  • Generate optimal test & control groups given specific match criteria and measure group performance
  • Perform impact analysis of Aptus Health integrated campaigns, including ROI analysis, ANCOVA, NRx lift analysis, and NRx share analysis
  • Develop predictive models for change in physician prescribing behavior, as well as Aptus Health, integrated campaign response behavior

Technical Skills:
  • Statistical expertise in general linear models, correlation and regression analysis
  • Experience with statistical and data manipulation tools such as SAS, SPPS or R.
  • Working knowledge of Microsoft SQL, Oracle, Microsoft Excel, and Microsoft PowerPoint
  • Ideally but not required, familiarity with IMS datasets

Requirements:
  • B.Tech/B.E./ MSc Statistics from premier institutes
  • 1-2 years' experience in data analysis and reporting
  • Experience with various pre- and post-test control designs as well as ANCOVA
  • Ideally, experience with the development of predictive models and strategies utilizing basic approaches such as clustering, decision tress, and regression

Data Scientist
Mid-Senior-level Information Technology | Information | Technology Full-time Other | Engineering | Information Technology Data Scientist
Aptus Health offers health and life sciences companies a truly connected approach to engaging healthcare professionals, consumers and other stakeholders through an array of high-value digital information channels and services. By applying this portfolio of assets informed by rich data and analytics Aptus Health designs and builds integrated multichannel engagement solutions that allow its clients to connect with their customers at key points in their decision-making journeys and impact behavior at scale. 
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