Data Scientist




Location: This position will work a hybrid model (remote and office). Ideal candidates will live within 50 miles of the following PulsePoint location. 4361 Irwin Simpson Road, Mason, OH 45040



Hours: Monday to Friday, 8:00 am to 5:00 pm


The Data Scientist will develop and implement predictive modeling algorithms and techniques to solve business problems and optimize member experiences.



How you will make an impact:



• Design predictive modeling projects to address specific business problems determined by consultation with business partners.
• Work with data-sets of varying size and complexity, including both structured and unstructured data.
• Pipe and process massive data-streams in distributed computing environments to facilitate analysis.
• Implement batch and real-time model scoring to drive actions.
• Develop proprietary algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions.
• Develop sophisticated visualization of analysis output for business users.
• Provide high-level controllership/evaluation of all output produced to ensure established targets are met.
• Determine the continuous improvement opportunities of current predictive modeling algorithms.
• Proactively collaborate with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables.


REF# 506305



Minimum Requirements:



Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Biostatistics, or a related field. Three (3) years of experience in related occupation(s).



Additional Requirements:



Three (3) years of experience must include:


• Three (3) years of experience in predictive analytics.
• Additionally, this position requires three (3) years of experience in the following: Python, R, SAS, Programming experience in Python.
• Distributed computing environment including Hadoop; Hive, Impala or Apache Spark.
• Data extraction and manipulation using SQL.
• Connecting Tableau or Shiny reports to Hadoop back end; and JavaScript visualization libraries including D3.js.
• ALTERNATE EDUCATION/EXPERIENCE REQUIREMENT: Employer will accept a Master's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Biostatistics, or a related field, and one (1) year of experience in predictive analytics. Must have one (1) year of experience in each of the above listed skills. Employer will also accept a Doctoral degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Biostatistics, or a related field, and any amount of experience in predictive analytics.


• Must have skills listed above.