Title: Data Scientist
Location: Jacksonville, FL
Duration: 6-9 months Possibility of Extension
Job Description:
Note: healthcare claims, SAS, and R programming. All three of those are must have for this role.
We seek a Senior Data Scientist / Analytics Architect to lead a long-term, multi-year project we are staffing in Jacksonville, FL. The Senior Data Scientist / Analytics Architect will produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets.
The Senior Data Scientist / Analytics Architect will apply knowledge of statistics, data modeling, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries. Use a flexible, analytical approach to design, develop, and evaluate predictive models. Generate and test hypotheses. The Senior Data Scientist / Analytics Architect proactively seeks to develop their skillsets and provide value-added support and collaboration with analytics teams within the organization.
Senior Data Scientist / Analytics Architect Requirements:
5+ years related work experience or equivalent combination of transferable experience and education. Experience Details: Advanced analytics or similar role
Required Education
Bachelor's degree or equivalent work experience Data Science, Applied Mathematics, Computer science (e.g. specialization: Machine learning/Artificial Intelligence /Visualization, databases, and Big Data), Statistics, Epidemiology, Health Services Research, or closely related field with Data Science specialization
Required Qualifications
· Object oriented programming such as Python or Java.
· Requires 5 years' experience with SAS, SAS EG, and/or SAS EM
· Requires 3 years' experience with R
· Requires expert proficiency in SQL
· Requires experience with visual analytical packages such as Tableau or Microsoft Power BI
· Strong analytical and problem-solving skills
· Experience in supporting large projects, and manage smaller projects in their entirety
· Ability to partner with senior team members to assess customer needs and define business questions.
· Emerging ability to influence customers to take action on analytical insights.
· Must have applied experience with advanced analytics e.g. predictive analytics models
Preferred Education
· Master's degree Applied Mathematics, Computer science (e.g. specialization: Machine learning/Artificial Intelligence /Visualization, databases, and Big Data), Statistics, Epidemiology, Health Services Research, or closely related field with Data Science specialization
· Additional Preferred Qualifications
Experience in Big Data - e.g. Hadoop, Hive and Spark
· Business Intelligence tool development
· Other programming experience - Java, Perl, Python, UNIX/Linux scripting
· Healthcare, medical, or pharmaceutical work experience
· Experience with analysis around quality, consumer experience, and healthcare costs
· Experience in consumer analytics
· Experience in business analytics
· Experience with RStudio IDE, RStudio Server Professional and RStudio Connect
· Expert experience in REST API's in R using Plumber