Health Integrated: Healthcare Data Scientist

Creating state of the art analytics solutions that can be shared across product lines and managed care businesses.

Health Integrated Company: Health Integrated
Location: Tampa, FL

Email to .

Data Scientist with Healthcare domain knowledge. You will be responsible for creating state of the art analytics solutions that can be shared across product lines and managed care businesses. You will also leverage cutting-edge technologies to see your insights turned into real products or business decisions. You must have an advanced knowledge and experience mining data and drawing relevant business insights

This position may not conduct any activities that require evaluation or interpretation of clinical information.

Minimum Qualifications:

  • 3+ years hands-on experience doing quantitative analysis
  • Substantive background in applied statistics
  • Experience with Tableau or similar visualization tool.
  • Experience with large data sets and distributed computing (Hive/Hadoop) is a must.
  • Experience using distributed computing systems (Hadoop, HBase) for querying and job runs

  • Strong programming background with R, MATLAB, SQL, Java, C++, or Python.
  • Substantive background in applied statistics.
  • Expertise in at least one statistical software package, preferably R. Advanced skills in a scripting language such as Python is a plus.
  • Strong sense of data quality with an analytical mindset.
  • Development experience in machine learning and control systems
  • Hands-on experience in data querying, processing and manipulation
  • The ability to communicate the results of analyses in a clear and effective manner
  • Team-oriented, with ability to work with all functions (product, finance, marketing, engineering)
  • Ability to work independently.
  • Ability to work in a fast paced environment

Job Performance/Responsibilities:
  • Knowledge of machine learning, data mining, and predictive analysis
  • Experience dealing with scalability challenges
  • Experience working with open-source tools, cloud computing, and data visualization
  • Conceptual modeling experience- sharing and articulating theories
  • Ability to communicate new knowledge and insights gained from analysis of big data
  • Experience performing statistical analysis to quantify the limitations of models
  • Ability to take the inferences from data and produce decisions from it that will optimize objectives
  • Ability to transfer knowledge and concepts to the team that is implementing the actual system
  • Ability to grasp data and see patterns or make inferences at a high level.
  • Partner with IT and business teams to solve problems, develop new algorithms and models, and identify trends and opportunities. Inform, influence, support, and execute business and product decisions.