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)