Senior Data Scientist — AI & Analytics for Biopharma

AbbVie Inc.; Chicago (IL); Presencial; USD 140 000 - 200 000; Tempo integral

Resumo da oferta

AbbVie Inc. is seeking a Senior Data Scientist within BTS to advance digital analytics across immunology, oncology, neuroscience, and aesthetics. You will lead data-driven decision making, build robust models, and partner with cross-functional teams to deliver scalable analytics solutions.

The role emphasizes GenAI/LLM, data governance, and a strong focus on governance, reproducibility, and training across the organization.

Qualificações

• Bachelor's degree with 7 years of experience; Master's with 6 years; PhD with 2 years.
• Extensive experience with statistical/analytical methods and machine learning algorithms.
• Advanced SQL, Python, Spark and ML frameworks experience.
• Experience with SageMaker and data lakes (Iceberg/Delta).
• Cloud exposure (AWS/Azure) with large datasets and streaming architectures.
• GenAI and LLM-related development experience preferred.

Responsabilidades

• Discern machine learning vs Generative AI or agentic solutions for business problems.
• Apply CRISP-DM or similar frameworks to deliver value.
• Develop monitoring for model performance and data quality.
• Work with unstructured and structured data to derive insights for senior leaders.
• Design data visualizations to communicate insights to technical and non-technical audiences.
• Establish best practices in data science and ensure reproducibility and governance.
• Act as internal Data Science SME and drive self-service COE with office hours training.

Conhecimentos

Advanced analytics

AI/ML

Python

SQL

Spark

Data visualization

Problem solving

Cross-functional collaboration

Formação académica

Bachelor's Degree

Master's Degree

PhD (preferred)

Ferramentas

SageMaker

Databricks

Dataiku

Power BI

Tableau

MLflow

Descrição da oferta de emprego

AbbVie Inc. is seeking a Senior Data Scientist within BTS to advance digital analytics across immunology, oncology, neuroscience, and aesthetics. You will lead data-driven decision making, build robust models, and partner with cross-functional teams to deliver scalable analytics solutions.

The role emphasizes GenAI/LLM, data governance, and a strong focus on governance, reproducibility, and training across the organization.