Data Scientist

Job Summary

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.

Key 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.

Required Qualifications

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.

Preferred Qualifications

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.

Technical Skills

Programming: Python, R, SQL Data Platforms: Databricks, Spark, cloud data platforms Modeling: regression, classification, clustering, time series, NLP, experimentation Visualization: dashboards, storytelling, exploratory analysis Data Management: data dictionaries, data models, schema awareness, governed datasets

Soft Skills

Analytical thinking Problem solving Stakeholder communication Collaboration Documentation discipline Business acumen

Compliance and Security Expectations

Handle data in accordance with Humana information protection and acceptable use requirements. Use least-privilege access and approved enterprise tools only. Protect confidential and restricted information in analysis, storage, sharing, and reporting. Follow approved enterprise architecture, data-sharing, and platform standards.

Mandatory Skills: Agentic AI.

Experience: 8-10 Years.

The expected compensation for this role ranges from $80,000 to $158,000.

Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.

Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.

Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.

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