Principal Data Scientist

The Analytics and Performance Excellence (APEX) function supports AbbVies US Commercial organization and is comprised of highly regarded researchers analysts data scientists and strategists who are committed to being best-in-class within the biopharmaceutical industry. We serve as a strategic in-house counsel ensuring that all decisions leverage the key insights that we develop. We continue to build new capabilities and skill sets encouraging our team members to pull up a chair be themselves be creative speak their minds and do good work. We are a passionate diverse flexible and inclusive organization with a culture that supports the best ideas wherever they originate. We are smart fun quirky and innovative and wed love for you to join us.

The Principal Data Scientist is the technical lead for a portfolio of advanced analytics products that support personalized commercial engagement and performance optimization. Operating within the APEX Enterprise Advanced Analytics and Innovation team this role is accountable for the end-to-end technical strategy model design methodology development and validation of AI/ML and statistical solutions. These solutions enable data-driven decision making across customer engagement targeting optimization measurement and ongoing performance improvement. The role reports to the Associate Director Data Science and serves as the primary technical partner to the analytics product owner translating business outcomes and product requirements into rigorous scalable and actionable analytics solutions. The position requires deep expertise in applied machine learning statistical modeling experimentation and omni-channel analytics within a pharmaceutical commercial context.

Key Responsibilities

• Lead a portfolio of advanced analytics capabilities across customer understanding engagement planning decision support and measurement.
• Translate product requirements and business goals into scalable technical solutions including model design feature engineering validation and deployment.
• Lead the design and development of predictive and inferential models that generate actionable insights on customer behavior engagement opportunities and drivers of business performance using complex multi-source data.
• Design analytics approaches that evaluate cross-channel engagement patterns interaction effects and temporal dynamics to inform coordinated customer strategies.
• Own measurement methodologies to measure effectiveness incrementality and business impact using experimental and observational methods.
• Partner with BTS Digital Lab engineering and platform teams to build scalable production-ready analytics and AI/ML solutions.
• Establish best practices in model development including code quality documentation reproducibility peer review version control and methodological rigor.
• Synthesize complex technical findings into clear actionable insights and recommendations for non-technical stakeholders
• Partner with engineering and platform teams to productionalize AI/ML solutions including deployment monitoring and lifecycle management.
• Stay current with advances in applied machine learning causal inference and pharmaceutical analytics proactively identifying and piloting emerging methods that could enhance the existing and new capabilities.

Supervisory / Management Responsibilities

This role does not carry formal direct report responsibilities at this level but is expected to provide technical mentorship and hands-on guidance to junior and mid-level data scientists supporting the advanced analytics team. The Principal Data Scientist may lead technical workstreams with external analytics vendors and partners including oversight of deliverable quality and methodology validation.

Key Competencies

• Deep expertise in machine learning statistical modeling and causal inference with a track record of delivering production-quality analytics solutions.
• Strong ability to lead technical execution with Product Owners and cross-functional teams.
• Ability to translate ambiguous business problems into well-scoped technical solutions with clear methods and success metrics.
• Hands-on knowledge of the full data science lifecycle from exploration and feature engineering to deployment and monitoring.
• Strong software engineering discipline including testing documentation reproducibility and version control.
• Deep familiarity with pharmaceutical data ecosystems including HCP patient and engagement data.
• Strong communication skills with the ability to explain complex technical concepts to non-technical audiences.
• Strong understanding of AI engineering principles including deployment monitoring and enterprise integration.
• Ability to work across data science engineering and platform teams to operationalize solutions at scale.

Qualifications :

• Bachelors Degree in Statistics Mathematics Computer Science Engineering or another quantitative discipline required; Masters or PhD in a quantitative field strongly preferred.
• 8 years of experience in data science machine learning or advanced analytics with delivery of production-quality models and solutions.
• 5 years of experience in pharmaceutical biotech healthcare or life sciences commercial analytics is highly preferred.
• 4 years of experience in omnichannel analytics including journey analysis touchpoint measurement engagement optimization or next-best-action modeling.
• 4 years of experience measuring commercial effectiveness and business impact using methods such as promotional response analysis closed-loop measurement A/B testing and quasi-experimental techniques.
• Strong proficiency in Python and/or R and strong SQL skills; hands-on Python experience with pandas NumPy scikit-learn and PySpark for data transformation feature engineering model development and scalable workflows.
• Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow for sequential temporal or recommendation use cases.
• Experience working with product owners business stakeholders and cross-functional teams to translate requirements into technical solutions.
• Experience productionizing AI/ML solutions in cloud environments including deployment monitoring and lifecycle management.

Preferred Experience

• Experience with advanced ML and optimization methods including reinforcement learning multi-armed bandits transformers and other deep learning approaches for sequential recommendation or next-best-action use cases.
• Familiarity with pharmaceutical data sources such as IQVIA Symphony Health APLD or similar Rx claims and engagement datasets.
• Experience working in agile product development environments.
• Exposure to cloud ML platforms and MLOps tools such as Azure ML Databricks and MLflow.
• Experience presenting analytical methods and findings to senior or executive audiences.
• Exposure to modern AI engineering approaches including LLM-based workflows orchestration frameworks or agentic AI patterns.
• Experience integrating AI/ML solutions using APIs pipelines or orchestration tools

Additional Information :

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: 

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location and we may ultimately pay more or less than the posted range. This range may be modified in the future. 
• We offer a comprehensive package of benefits including paid time off (vacation holidays sick) medical/dental/vision insurance and 401(k) to eligible employees.
• This job is eligible to participate in our long-term incentive programs. 

Note: No amount of pay is considered to be wages or compensation until such amount is earned vested and determinable. The amount and availability of any bonus commission incentive benefits or any other form of compensation and benefits that are allocable to a particular employee remains in the Companys sole and absolute discretion unless and until paid and may be modified at the Companys sole and absolute discretion consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity driving innovation transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. 

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Work :

No

Employment Type :

Full-time