Humana

About Humana

 

Job Category:

Analytics & Business Intelligence - Data Analytics

Country:

United States

Postal Code:

40201

Approximate Salary:

Not Specified

Position Type:

Full Time

Lead Data Scientist

Humana - Louisville, Kentucky

Posted: 10/14/2018

Description

The Lead Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Lead Data Scientist works on problems of diverse scope and complexity ranging from moderate to substantial.

Responsibilities

The Lead Data Scientist 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. Advises executives to develop functional strategies (often segment specific) on matters of significance. Exercises independent judgment and decision making on complex issues regarding job duties and related tasks, and works under minimal supervision, Uses independent judgment requiring analysis of variable factors and determining the best course of action.

We are seeking a Lead Data Scientist able to
0) have absolute fun with the rest of us,
1) develop right analytical solutions from a diverse repertoire of analytical techniques,
2) apply solutions tool agnostic ,
3) challenge & be challenged the team and leadership.

The Lead Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Lead Data Scientist works on problems of diverse scope and complexity ranging from moderate to substantial. The Lead Data Scientist must also be able to communicate complex quantitative analyses in a clear, precise, and actionable manner to management and executive level audiences.

               

Required Qualifications

  • Bachelor's Degree and 8+ years technical experience OR Master’s Degree and 4+ years technical experience
  • 2+ years project leadership experience

  • Experience obtaining data from multiple, disparate data sources including structured, semi structured and unstructured data.
  • Use of machine learning and data mining techniques to understand the patterns in large volumes of data, identify relationships, detect data anomalies, and classify data sets.
  • Successful demonstrated experience in working on problems of diverse scope and complexity ranging from moderate to substantial in a collaborative fashion alongside other individuals or teams.
  • Experience in creating reports, projections, models, and presentations to support business. 
  • Specifically, has experience with Deep Learning models, AI development, agile software launching, Tensorflow experience, and/or working with data integration developers to assess data quality and define data processing business rules for cleansing, aggregation, enhancement, supporting analysis and predictive modelling activities.
  • Designing and building algorithms and predictive models using techniques such as linear and logistic regression, support vector machines, ensemble models (random forest and/or gradient boosted trees), neural networks, and clustering techniques.
  • Ability to exercise independent judgment and decision making on complex issues regarding job duties and related tasks
  • Ability to works under minimal supervision, using independent judgment
  • Presenting complex analysis results tailored to different audiences (e.g. technical, manager, executive) in a highly consumable and actionable form including the use of data visualizations

Preferred Qualifications

  • Master's Degree
  • Experience with deploying model pipelines across various technologies, such as Kubernetes or Docker.
  • Interested in coaching and mentoring junior talent to grow next generation of Data Scientists
  • Experience with Natural Language Processing, Keras, and/ or H2O
  • Experience working in Agile environments (i.e. Jira)

Scheduled Weekly Hours

40

Apply Now