Data Scientist 2

Profile

Description

This is a unique opportunity for a motivated individual to influence Humana's vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). 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

This is a unique opportunity for a motivated individual to influence Humana's vision to provide coordinated, integrated care via home care solutions and ECOM (Enterprise Clinical Operating Model). 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.

The Data Scientist 2 develops, maintains, and collects structured and unstructured data sets for analysis and reporting. Creates reports, projections, models, and presentations to support business strategy and tactics. Understands department, segment, and organizational strategy and operating objectives, including their linkages to related areas. Makes decisions regarding own work methods, occasionally in ambiguous situations, and requires minimal direction and receives guidance where needed. Follows established guidelines/procedures.

Responsibilities

As a Data Scientist 2 you will:


Design and develop statistical analytics using SAS, SQL, Python, R, and Hive QL programming languages and packages
Build data extracts and determine data patterns from structured and unstructured data
Ensure and maintain data quality and reliability
Research new data sources to identify opportunities to increase analytic capabilities
Analyze large amounts of data and summarize data to formulate conclusions and make recommendations to leadership and colleagues. Includes creating reports and models to support business strategy and tactics
Possesses an understanding of department, segment, and organizational strategy and operating objectives, including their linkages to related areas
Be capable of making decisions regarding own work methods, occasionally in ambiguous situations
Ensure full and clear documentation of all processes, following best practices including peer review of material work products
Must be passionate about contributing to an organization focused on continuously improving consumer experiences
Work as part of a cross-functional team that integrates advanced analytics solutions to support the Home and ECOM business segments


Required Qualifications


Bachelor's Degree in Data Analytics, Computer Science or related quantitative program
4 years technical experience
Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting
Experience in creating reports, projections, models, and presentations to support business
Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions
Possesses an understanding of department, segment, and organizational strategy and operating objectives, including their linkages to related areas
Capable of making decisions regarding own work methods, occasionally in ambiguous situations
Must be passionate about contributing to an organization focused on continuously improving consumer experiences


Preferred Qualifications


Master's Degree
Experience in analyzing data using tools/software such as SAS, Python, R
Clear and concise oral and written communication skillsAbility to communicate statistical concepts to broad audiences


Scheduled Weekly Hours

40

Company info

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