Description

The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.

Responsibilities

Humana’s Clinical Trend and Analytics Team is seeking a Senior Data Scientist. 

The Clinical Trend and Analytics team uses 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.  

We think big and relentlessly innovate to redefine the future of healthcare with data science. 

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: 

• Use techniques from supervised and unsupervised machine learning, statistical analysis, or predictive modeling to deliver business insights and analytics solutions 

• Work directly with aligned business partners in requirements definition, project scoping, timeline management, results documentation, and maintain effective and professional working relationship 

• Create reusable implementations of statistical tests and machine learning models using the available technologies in the ecosystem 

• Build ‘smart’ systems that  learn from health intervention outcomes over time 

• Generate new product requirements for the engineering group to enhance the analytics capabilities of the database 

• Use machine learning techniques to assess outcomes of interventions and clinical programs 

• Collaborate with multiple cross-functional teams to identify operational barriers and issues, and facilitate their resolution 

Required Qualifications 

• Master’s Degree + 3 years’ experience OR Bachelor’s Degree + 5 years’ experience in Computer Science, Data Analytics or related quantitative field  

• Experience working with and analyzing various types of data using Python, R or similar software 

• Experience in using mathematics, statistics, modeling, experimental study design, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions 

• Experience using machine learning techniques such as neural networks, random forest, deep learning etc. 

• History of solving problems, creating solutions and driving change within a team 

• Naturally curious and comfortable with ambiguity 

• 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 

• Strong interpersonal and consulting skills 

• Ability to make decisions on moderately complex to complex issues regarding technical approach for project components 

• Flexible, dynamic personality who is able to work independently in a start-up environment 

Preferred Qualifications 

• PhD Degree in Computer Science, Data Analytics or related quantitative field 

• 5+ years’ technical experience 

• Experience in Big Data environment specifically PySpark, Scala, or Microsoft Azure 

• Industrial experience in building and implementing end-to-end data science solutions 

• Work experience in a health care and/or Insurance setting 

• Experience with clinical claims Episode Treatment Groupers 

Additional Information 

Healthcare is rapidly changing, and our members are living longer, often with more chronic conditions. Consumers expect more personalized and holistic experiences from their health partners.  Humana’s Enterprise Clinical Operating Model (ECOM), is a multi-year strategy with the goal of improving member experiences and health outcomes through better integrating Humana's processes, technology and clinical capabilities. The person occupying this role will be instrumental in executing on the vision of ECOM in partnership with leaders and teams across Humana. Ideally, this position would be located in Louisville, KY. However, we will consider another Humana location or telecommute for the right candidate.