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Senior Healthcare Data Scientist (Remote)
Information Technology company
Information Technology company
Jacksonville, FL 32256
W-2 onlyUS ResidentContract929 views
Jacksonville, FL 32256
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Seeking a Senior Data Scientist with Python experience for a 100% Remote position to work with healthcare claim data.

Data Scientists produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. 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 Data Scientist proactively seeks to develop their skillsets and provide value-added support within the Data Science team.

Responsibilities

  • Support large projects, and manage smaller projects in their entirety
  • Partner with senior team members to assess customer needs and define business questions. Emerging ability to influence internal customers to take action on analytical insights.
  • Communicate results and insights, both verbally and written (including visual graphics), in a clear and concise manner to a non-technical audience.
  • Identify and communicate roadblocks.
  • Work on multiple concurrent projects and accommodate frequent interruptions and changing priorities.
  • Effectively participate in meetings with internal customers and emerging ability to guide discussion and decision making.

Data Analysis

  • Acquire and bring structure to data so that it can be used in existing and new data systems.
  • Build tools that help you and the other Data Scientists translate insights into action at scale.
  • Identify, define and translate business needs/problems into analytical questions.
  • Design and execute experiments, models, algorithms, and visualizations
  • Understand data sources and limitations, warehousing system and the impact of the data on business decisions.
  • Identify, retrieve, and manipulate data from internal and external datasets.
  • Apply statistical and computational methodologies to provide actionable insights and identify opportunities that optimize quality, consumer experience, and healthcare costs.
  • Develop scalable, efficient, and automated processes for large scale data analyses and model development, validation, and implementation.

Reporting

  • Contribute to technical reports, white papers, and publications.
  • Stay current on new processes and technology in Data Science and communicate findings to team
  • Perform all other tasks as assigned

Requirements

  • 5-8 years related work experience in advanced analytics or equivalent combination of transferable experience and education
  • Minimum five years' experience as a Data Scientist
  • PhD or Masters in a quantitative discipline: Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering
  • Working knowledge of health care systems and healthcare terminology
  • Expert in various healthcare datasets.
  • Expert in analyzing large complex, multi-dimensional data sets with a variety of tools
  • Ability to thrive and demonstrate constant applied learning in highly complex, interdisciplinary, and dynamic work environment
  • Design anomaly detection models to detect and eliminate FWA in claim payments.
  • Experience in implementing Machine Learning Models to gain efficiencies in Claims Prepay / Post Pay reviews
  • Strong programming experience in Python
  • Working knowledge of data models; including experience with complex SQL queries (experience with both building and deploying data models)
  • Requires expert proficiency in SQL
  • 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.
  • Ability to communicate results and insights, both verbally and written (including visual graphics), in a clear and concise manner to a non-technical audience.
  • Must have applied experience with advanced analytics e.g. predictive analytics models
  • Must have applied experience in Machine Learning
  • Experience in Big Data - e.g. s3/presto is a plus
  • Business Intelligence tool development
  • Other programming experience - Java, Perl, 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
  • Candidates who worked in Claims and used Machine Learning models (preferred)
  • Healthcare Industry experience (care/provider/claims)

Skills
Skill Proficiency Years Experience Percent Used
Data Analysis
Any100%
Data Science
1 - 3100%
Python
Any100%
Analytics
Any75%
Medical Claims
Any75%
Education
Master's
Required