Senior Data Scientist

Profile

Description

The Clinical Trend and Analytics team leverages advanced scientific techniques, forecasting, and machine learning to predict financial and clinical outcomes in order to guide investments that improve health outcomes and reduce costs. In this exciting start-up environment, you'll have the opportunity to develop data science processes from the ground up and work directly with decision-making executives to shape the future of Humana's most important strategic initiatives.

The Senior Data Scientist uses mathematics, statistics, machine learning, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientists' work assignments involve moderately complex to complex issues where the analysis of situations and data requires an in-depth evaluation of variable factors. The Senior Data Scientist uses machine learning and artificial intelligence to develop sophisticated models based on large structured and unstructured data set, exercises considerable latitude in determining objectives and approaches to assignments.

Responsibilities

As a Senior Data Scientist, you will:


Work directly with aligned business partners in requirements definition, project scoping, timeline management, results documentation, and maintain effective and professional working relationship
Leverage your curiosity, clinician partnerships, and Humana's data to define and quantify the root causes of poor clinical outcomes
Collaborate with multiple cross-functional teams to identify operational barriers and issues, and facilitate their resolution
Create reusable implementations of statistical tests and machine learning models using the available technologies in Humana's data ecosystem


Required Qualifications


Experience manipulating and analyzing various types of data using Python, SAS, R, or similar software
Experience using mathematics, statistics, modeling, experimental study design, and technology to transform high volumes of complex data into advanced analytic solutions
Demonstrated ability to assess the impact of clinical interventions on healthcare resource utilization and/or clinical indicators
History of solving problems, creating solutions and driving change within a team
Demonstrated strategic and analytical thinking
Clear and concise oral and written communication skills, with a proven ability to translate complex methodologies and analytical results to higher-level business insights and key takeaways
Ability to make decisions on moderately complex to complex issues regarding technical approach for project components
3 years of professional experience leveraging structured and unstructured healthcare data


Preferred Qualifications


Strong business acumen, including a deep understanding of healthcare payer economics

Master's or PhD Degree in a quantitative discipline such as Economics, Epidemiology, Clinical Informatics, and/or related fields. Clinical degrees also preferred

Demonstrated familiarity with clinical concepts related to a broad range of clinical conditions and disease states - experience with oncology, behavioral health and chronic conditions would be particularly valuable
Experience developing and validating machine learning models
Work experience in a health care and/or insurance setting
Experience in Big Data environment specifically PySpark, Scala, or Microsoft Azure
Experience working with EMR data
Experience with clinical claims Episode Treatment Groupers


Scheduled Weekly Hours

40

Company info

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