Data Scientist

GigSumo.com; Louisville (KY); On-site; USD 110,000 - 150,000; Full time

Job summary

Humana is seeking a Data Scientist to apply advanced analytics, statistical modeling, and ML to solve business problems across the enterprise. You will collaborate with product, engineering, and architecture teams to deliver data-driven solutions that align with Humana’s standards.

The role requires strong skills in Python, R, SQL, and modern data platforms, plus the ability to communicate insights to diverse stakeholders. A Bachelor's in a data-related field is required.

Qualifications

• Bachelor's degree in a data-related field.
• Experience in data science, analytics, or ML.
• Ability to communicate technical results to non-technical stakeholders.

Responsibilities

• Analyze large, complex datasets to identify trends, risks, opportunities and actionable insights.
• Build, validate, and deploy statistical, predictive, and ML models.
• Translate business problems into analytical approaches and measurable outcomes.
• Partner with data engineers, architects, product managers, and stakeholders to design scalable analytics solutions.
• Develop experiments, forecasting, segmentation, and decision-support tools.
• Communicate findings via dashboards, visuals, and documentation.
• Support model monitoring and continuous improvement.
• Ensure solutions align with enterprise data standards and security policies.
• Contribute to reusable analytics assets and best practices.

Skills

data science

advanced analytics

machine learning

data wrangling

feature engineering

MLOps

model governance

production model deployment

Education

Bachelor's degree in Data Science, Statistics, CS, Mathematics, Engineering, Economics, or related field

Tools

Python

R

SQL

Databricks

Spark

Job description

About The Role

The Data Scientist is responsible for applying advanced analytics, statistical modeling, and machine learning techniques to solve business problems and improve outcomes across Humana. This role partners with business, product, engineering, and architecture teams to develop data-driven solutions that support enterprise strategies while aligning to Humana’s data security, governance, and architecture standards.

Job Description

Job Title: Data Scientist

About The Role

The Data Scientist is responsible for applying advanced analytics, statistical modeling, and machine learning techniques to solve business problems and improve outcomes across Humana. This role partners with business, product, engineering, and architecture teams to develop data-driven solutions that support enterprise strategies while aligning to Humana’s data security, governance, and architecture standards.

We are seeking a detail-oriented and results-driven Data Scientist. Strong domain knowledge in key practices including data science, advanced analytics, machine learning, data wrangling, feature engineering and more is essential for this role. This role requires strong ability to collaborate with cross-functional teams, identify defects early in the development cycle, and ensure high-quality product delivery.

Education: Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Economics, or related field.

Primary Skills

• Python
• R
• SQL
• Databricks
• Spark

Secondary Skills

• data science
• advanced analytics
• machine learning
• data wrangling
• feature engineering
• MLOps
• model governance
• production model deployment

Soft Skills

• analytical thinking
• problem solving
• stakeholder communication
• collaboration
• documentation discipline
• business acumen

Responsibilities

• Analyze large, complex datasets to identify trends, risks, opportunities, and actionable insights.
• Build, validate, and deploy statistical, predictive, and machine learning models.
• Translate business problems into analytical approaches and measurable outcomes.
• Partner with Data Engineers, Application Architects, Product Managers, and business stakeholders to design scalable analytics solutions.
• Develop experiments, forecasting models, segmentation methods, and decision-support tools.
• Communicate findings through dashboards, visualizations, presentations, and technical documentation.
• Support model monitoring, performance evaluation, and continuous improvement.
• Ensure solutions align with enterprise data architecture, reference standards, and approved technology patterns.
• Follow Humana policies for information protection, least-privilege access, secure storage, and confidential data handling.
• Contribute to reusable analytics assets, standards, and best practices across teams.

Requirements

• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Economics, or related field.
• Experience in data science, advanced analytics, or machine learning.
• Strong knowledge of: Python and/or R, SQL, Statistics and hypothesis testing, Machine learning methods, Data wrangling and feature engineering.
• Experience working with cloud or enterprise analytics platforms.
• Ability to communicate technical results to non-technical stakeholders.
• Experience working with cross-functional teams in a regulated or enterprise environment.

Nice to Have

• Master’s or PhD in a quantitative field.
• Experience with Databricks, Spark, or large-scale distributed data platforms.
• Experience in healthcare, payer, claims, member, provider, or clinical analytics.
• Familiarity with MLOps, model governance, and production model deployment.
• Experience with BI and visualization tools such as Power BI or Tableau.
• Understanding of data architecture, cataloging, and enterprise data standards.