Principal Data Scientist NLP- Remote US

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Job Information

Humana

Principal Data Scientist (NLP)- Remote US

in

Louisville

Kentucky

Description

The Principal Data Scientist will design studies and utilize cutting edge predictive modeling techniques, to rigorously test hypotheses, and complete analyses to turn data into actionable solutions. The Principal Data Scientist will work cross-functionally and collaboratively with teams across Humana utilizing cutting edge machine learning techniques to implement and execute test and learn projects. The ideal candidate will have experience building models and delivering application, demonstrated innovative and creative methods for overcoming testing constraints, as well as successfully applying machine learning techniques to address business needs.

Responsibilities

Our dream is to bring personalized care and health insurance into reality. We are building state of the art AI solutions in healthcare. You would be part of an exceptional multidisciplinary team, focused on application of natural language processing (NLP) with deep learning NLP techniques, such as the transformer architecture, to solve real world problems in healthcare.

We are seeking a Principal Data Scientist able to:

Have absolute fun with the rest of us,

Use mathematics, statistics, machine learning, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions.

Involved in moderately complex to complex issues where the analysis of situations and data requires an in-depth evaluation of variable factors.

Use machine learning and artificial intelligence to develop sophisticated models, using both structured and unstructured data sets for analysis.

Use techniques from supervised and unsupervised machine learning, statistical analysis, Or predictive modeling to deliver business insights to prospects and customers

Work with the academic and business community to develop new techniques and to contribute to research in the area of advanced analytics on large data sets

Collaborate with engineering group to ship engaging products that meet the needs of our internal clients

Assist in customer engagement management, requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management

Required Qualifications

Bachelor's Degree in a quantitative discipline, such as Computer Science, Mathematics or Statistics and/or related field

8 or more years of professional experience leveraging large sets of structured and unstructured data to develop tactical and strategic insights

A very strong traditional machine learning background with emphasis on Natural Language Processing (NLP)

Experience with Deep Learning specifically transformer models

Skilled in obtaining data from multiple, disparate data sources including structured, semi-structured and unstructured data.

Experience working with and analyzing various types of data using Python with TensorFlow, Keras, PyTorch 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

Strong interpersonal and consulting skills

We will require full COVID vaccination for this job as we are a healthcare company committed to putting health and safety first for our members, patients, associates and the communities we serve.

If progressed to offer, you will be required to provide proof of full vaccination or documentation for a medical or religious exemption consideration where allowed by law. Requests for these exemptions should be submitted at least 2 week prior to your scheduled first day of work.

Preferred Qualifications

Work experience in a health care and/or Insurance setting

Demonstrated experience in: information extraction from text, natural language question answering, chat bots, natural language understanding

Experience working with standard speech recognition toolkits

Experience with cloud-based ecosystems (Azure, GCP, AWS)

Experience in Big Data environment specifically PySpark and DataBricks

Experience with Azure Machine Learning (AML)

Previously applied machine learning to help a firm reach objectives

Additional Information:

This position is remote US and will require occasional travel (approximately 10%) to Humana headquarters in Louisville, KY and other Humana locations.

Scheduled Weekly Hours

40

Company info

Humana Inc.
Website : http://www.humana.com