Senior NLP Data Scientist

Description

Humana is seeking a Senior Data Scientist who has strong experience with Natural Language Processing (NLP). The ideal candidate will have experience developing NLP models with transformer architecture and preferably have experience with Hugging Face. Additionally, the ideal candidate will have experience with topic modeling and/or sentiment analysis.

This is your opportunity to join our Fortune #40, Best Places to Work company and help us make a difference as we help our members achieve their best health!

Responsibilities

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.

The Senior 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.

• Begins to influence department's strategy.

• Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction.

• Exercises considerable latitude in determining objectives and approaches to assignments.

Required Qualifications

• Bachelor's Degree and 5 years of applicable experience OR Master's Degree and 3 or more years of experience
• Strong experience with and knowledge of Natural Language Processing (NLP) models, preferably with transformer architecture
• Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions
• Experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors
• 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 strategy and tactics
• Ability to make decisions on moderately complex to complex issues regarding technical approach for project components

Preferred Qualifications

• Master's Degree or PhD
• Healthcare or managed care experience
• Demonstrated experience with Python, Hugging Face, TensorFlow, Spark, PyTorch or similar tools
• Demonstrated experience with topic modeling and/or sentiment analysis
• Strong NLP experience focused on text, audio, and/or OCR

Additional Information

Location/Work Style: Remote US

Why Humana?

At Humana, we know your well-being is important to you, and it's important to us too. That's why we're committed to making resources available to you that will enable you to become happier, healthier, and more productive in all areas of your life. Just to name a few:

• Work-Life Balance

• Generous PTO package

• Health benefits effective day 1

• Annual Incentive Plan

• 401K - Excellent company match

• Well-being program

• Paid Volunteer Time Off

• Student Loan Refinancing

If you share our passion for helping people, we likely have the right place for you at Humana.

Work at Home Guidance

To ensure Home or Hybrid Home/Office associates' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office associates must meet the following criteria:

• At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested

• Satellite, cellular and microwave connection can be used only if approved by leadership

• Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.

• Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet the business requirements for their position/job.

• Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information

#LI-Remote

Scheduled Weekly Hours

40