Humana Data Scientist 2 in United States

Description

The Data Scientist 2 uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Data Scientist 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action.

Responsibilities

Responsibilities

You will play a role in helping the broader Humana organization understand how leveraging data will transform us from a health insurer to a provider of life-long well-being. You will be part of Humana’s Consumer Science group and work to:

  • Participate in discussions with the internal business partners to determine areas of challenge that are opportunities for analytics to be the right tool

  • Develop analytical constructs based on addressing business challenges

  • Perform exploratory data analysis, statistical modeling, machine learning and insights generation in areas related to consumer health and well-being

  • Combine and analyze diverse types of data to extract fresh, actionable discoveries about our members and their healthcare and health-related behavior

  • Develop machine learning to drive acquisition, retention, loyalty, wellness, consumer engagement, satisfaction and sustainable measureable health related behavior change

  • Participate in developing and selecting new data sources and ensuring the quality and reliability of the data

  • Measure and communicate the effect of models in production

  • Develop test designs for campaigns and communications leveraging Design of Experiments (DoE) concepts

  • Provide data-driven support of sales efforts

  • Develop innovative approaches for allowing consumer data to contribute to price-elasticity models and new-product development

  • Develop processes and criteria for analyzing and summarizing data

  • Participate in relationships with Humana’s external partners

Required Qualifications

  • Master degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science) and 1+ years technical experience

  • Working knowledge and experience in at least one of the statistical analysis packages SAS, Python, R

  • Experience in building machine learning models(Regression, Decision Tree, Random Forest, Neural Networks, etc)

  • Experience in data mining, statistics, analytical methods and tools, techniques and algorithms

  • Experience in Design of Experiments

  • Strong communication skills with ability to convey complex ideas efficiently

Preferred Qualifications

  • PhD in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)

  • Experience in Structured Query Language (SQL)

  • Experience in programming language (Hadoop, Hive, Java, Scala etc.)

  • Working knowledge/ Experience in Big Data tools is a plus

  • Experience in data visualization such as Tableau

  • Experience with health care data

Scheduled Weekly Hours

40

About Us

Equal Opportunity Employer

It is our policy to recruit, hire, train, and promote people without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, or veteran status, except where age, sex, or physical status is a bona fide occupational qualification. View the EEO is the Law poster.

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