Lead Data Scientist, HCC

Description

The company works across medicines and medical technology to prevent, treat and cure complex diseases.

This is a Lead Data Scientist role in the Healthcare Compliance group, part of Data Analytics & Computational Sciences (Data Science sub-function, Scientific/Technology category).

You will lead the design and scaling of data-driven solutions, including AI and machine learning tools, that improve compliance monitoring, insight generation, risk management, productivity and decisions across regions and markets.

You act as technical lead for advanced analytics, automation, generative AI, Copilot agents and enterprise AI work that supports compliance functions worldwide.

The role links compliance, analytics, technology and business teams to find opportunities, build solutions and put digital capabilities into operation.

Responsibilities

• Build, test and ship machine learning models that spot potential healthcare compliance risks, anomalies and new patterns.
• Use supervised and unsupervised methods such as classification, clustering and anomaly detection on business questions.
• Create statistical and analytical methods for proactive risk monitoring and identification.
• Construct scalable analytical pipelines and workflows across structured and unstructured data.
• Query and analyze large, complex datasets to produce reproducible, scalable data science solutions.
• Track model performance and improve models through monitoring, retraining and validation.
• Build and deploy Copilot agents, chatbots and knowledge retrieval tools that make the compliance program more efficient and easier to use.
• Make sure governance standards are built into analytical work.
• Work with governance, compliance and technology teams to adopt AI responsibly and in line with organizational standards.

Requirements

• Strong skills in data science, machine learning and advanced analytics to build predictive, operational and insight-driven solutions.
• Strong proficiency in Python or R, plus SQL, for extraction, feature engineering, modeling, automation and analytics development.
• Bachelor's degree in data science, statistics, mathematics, computer science, engineering or a related quantitative field with 5 years of relevant experience, or a Master's degree with 3 years of relevant experience.
• Experience developing and deploying ML models with common libraries and frameworks.
• Experience with NLP libraries, OCR text extraction from documents, and generating embeddings for downstream use.
• Experience processing and analyzing large, complex datasets for advanced analytics.
• Experience leading analytical projects and influencing cross-functional teams.
• Experience with AI, generative AI and Copilot technologies, and turning new technologies into practical business solutions.
• Act as a trusted technical advisor to global compliance leaders and business stakeholders.
• Lead solution discussions, proofs of concept, demonstrations and technology evaluations.
• Turn business requirements into technical solutions and drive work from concept through deployment.
• Mentor team members and encourage use of modern analytics and AI practices.
• Preferred: Communication, Complaints Investigation, Compliance Management, Corporate Governance, Critical Thinking, Data Reporting, Detail-Oriented, Governance Risk and Compliance (GRC) Platforms, Healthcare Industry, Health Care Regulation, Internal Auditing, Legal Services, Medical Compliance, Organizing, Problem Solving, Process Improvements.

Conditions

Hybrid role based in Titusville, NJ, New Brunswick, NJ, Sao Paulo, Brazil, or Bogota, Colombia.

Anticipated base pay range: $109,000.00 to $174,800.00.

Benefits

• Eligibility for the company's consolidated retirement plan (pension) and savings plan (401(k)), subject to plan terms.
• Vacation: 120 hours per calendar year.
• Sick time: 40 hours per calendar year; 48 hours for employees living in Colorado and 56 hours for those living in Washington.
• Holiday pay, including floating holidays: 13 days per calendar year.
• Work, personal and family time: up to 40 hours per calendar year.
• Parental leave: 480 hours within one year of the birth, adoption or foster care of a child.
• Bereavement leave: 240 hours for an immediate family member and 40 hours for an extended family member per calendar year.
• Caregiver leave: 80 hours in a 52-week rolling period, also listed as 10 days.
• Volunteer leave: 32 hours per calendar year.
• Military spouse time off: 80 hours per calendar year.