Senior Data Scientist

AbbVie is seeking a Senior Data Scientist to develop and deploy advanced analytics and AI for its Copay Intelligence capabilities. The role focuses on predictive intelligence using healthcare, claims, enrollment, and patient-level data to support improved patient access and more proactive decision-making.

Key Responsibilities

• Lead the design, development, deployment, and continuous improvement of advanced analytics and AI solutions for AbbVie’s Copay Intelligence initiatives.
• Develop machine learning and artificial intelligence models that support healthcare affordability and copay intelligence objectives.
• Build predictive models to identify patterns, risks, and opportunities using healthcare, claims, enrollment, and patient-level data.
• Design scoring frameworks, recommendation engines, and decision-support systems to enable proactive business actions.
• Evaluate and implement modern AI methods, including machine learning, deep learning, ensemble methods, graph analytics, and Generative AI approaches.
• Improve model performance through experimentation, feedback loops, and performance monitoring.
• Analyze large and complex healthcare datasets to uncover actionable business insights.
• Conduct feature engineering, predictive modeling, forecasting, segmentation, optimization, and statistical analyses.
• Assess and monitor model performance using statistical and business outcome metrics.
• Translate analytical findings into recommendations for both technical and non-technical stakeholders.
• Develop methodologies to measure business impact and return on investment for analytical solutions.
• Partner with data engineering and technology teams to deploy machine learning solutions in production environments.
• Design scalable and maintainable machine learning workflows and pipelines.
• Implement model monitoring, automated retraining, model governance, and performance management processes.
• Support enterprise AI product development that can scale across multiple business functions.
• Ensure solutions meet organizational standards for quality, privacy, security, and compliance.
• Partner with business stakeholders to identify opportunities where AI and advanced analytics can deliver measurable value.
• Act as a subject matter expert in data science, machine learning, and predictive analytics.
• Present findings, recommendations, and technical concepts to senior leadership and cross-functional teams.
• Mentor junior data scientists and contribute to the growth of the broader analytics community.
• Stay current on emerging technologies and industry trends in AI, machine learning, and healthcare analytics.

Required Qualifications

• Bachelor’s degree in Statistics, Computer Science, Data Science, Mathematics, Engineering, Economics, Operations Research, or a related quantitative discipline.
• 6+ years of experience developing and deploying machine learning, artificial intelligence, or advanced analytics solutions in production environments.
• Strong proficiency in Python and SQL.
• Hands-on experience with machine learning frameworks including Scikit-Learn, XGBoost, LightGBM, TensorFlow, or PyTorch.
• Experience building predictive, classification, forecasting, recommendation, or optimization models.
• Strong knowledge of statistics, experimentation, predictive modeling, and model evaluation techniques.
• Experience working with large-scale data platforms and cloud-based environments.
• Familiarity with MLOps, model deployment, model monitoring, and production AI practices.
• Experience using modern software development and version control practices.
• Strong analytical and problem-solving capabilities.
• Excellent communication and stakeholder management skills, with the ability to translate business challenges into data-driven solutions.
• Demonstrated ability to work independently while collaborating effectively across teams.
• Strong organizational and project management skills.
• Passion for innovation, continuous learning, and practical application of AI technologies.

Preferred Qualifications

• Experience working with healthcare, pharmaceutical, claims, payer, patient support, or market access data.
• Experience developing AI-powered decision support systems.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with Snowflake, Databricks, Spark, or other large-scale data environments.
• Experience deploying Generative AI or Large Language Model solutions.
• Experience operating in regulated industries where data quality, governance, and validation are critical.

Technologies

Python, SQL, Scikit-Learn, XGBoost, LightGBM, TensorFlow, PyTorch, Generative AI

Compensation and Location

• Location: Mettawa, IL (onsite)
• Compensation: USD 109,500 - 208,500 per year (base pay range)

Benefits

• Paid time off (vacation, holidays, sick)
• Medical/dental/vision insurance
• 401(k)
• This job is eligible to participate in long-term incentive programs

Additional Information

The compensation range listed reflects the possible base pay amount the Company believes in good faith it will pay for this role at the time of this posting based on the job grade. Pay is not considered wages or compensation until earned, vested, and determinable.