Senior Data Scientist (TraceLink, Inc. - Wilmington, MA): Lead the design and development of advanced machine learning and statistical models to support pharmaceutical supply chain serialization, track-and-trace, compliance analytics, and shortage prediction. Specific duties will include: • Architect scalable data pipelines and solutions using cloud-based platforms (AWS, Azure, or GCP) for processing large volumes of pharmaceutical supply chain and manufacturing data. • Apply advanced techniques in causal inference, optimization, stochastic modeling, and predictive analytics to tasks such as forecasting drug shortages and mitigate supply chain risks. • Develop, fine-tune, and deploy generative AI agents within Tracelink's Opus platform, enabling customers to interact with supply chain applications via autonomous, intelligent agents. • Implement advanced RAG (Retrieval Augmented Generation) pipelines to extract, connect, and query explicit and implicit relationships from large volumes of structured and unstructured pharma data. • Contribute to the design and implementation of a large-scale supply chain data warehouse that consolidates diverse data types and attached metadata for enabling advanced analytics and predictive ML solutions. • Collaborate with cross-functional product, engineering, and regulatory teams to translate complex business requirements into data science initiatives and deliver actionable insights. • Mentor and guide junior data scientists and data analysts in best practices for model development, validation, agent deployment, and ML product integration. • Evaluate emerging technologies, frameworks, and methodologies in AI/ML (including LLMs, agent frameworks, and predictive analytics) to continuously advance TraceLink's data science capabilities. • Communicate results and recommendations to executive leadership, emphasizing business value, innovation, and alignment with global regulatory requirements. • Integrate data science and generative AI models into customer-facing SaaS products within the life sciences ecosystem. Position Requirements: Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, or a related field, plus three (3) years of professional experience as a Data Scientist or related role. Experience must include the following: 1. 3 years of experience applying machine learning and advanced statistical methods including supervised/unsupervised learning, ensemble forecasting, causal inference, and predictive modeling to pharmaceutical or life sciences data. 2. 3 years of experience in cloud-based deployment of machine learning products (AWS Sagemaker, Azure ML, or GCP AI/ML services), including deploying predictive models intoproduction SaaS environments. 3. 3 years of experience applying optimization, stochastic modeling, and queueing theory to supply chain or logistics problems, including forecasting drug shortages and supply disruptions. 4. 3 years of experience with programming languages including Python, with applied use of SQL and distributed query engines for large-scale data retrieval and manipulation. 5. 3 years of experience with data visualization and communication to present findings to senior stakeholders. 6. 3 years of experience integrating AI/ML solutions into SaaS products or enterprise platforms in the life sciences domain. 7. 2 years of experience with generative AI and large language models including fine-tuning and Retrieval-Augmented Generation (RAG), with application to knowledge graphs and pharma supply chain intelligence. 8. 2 years of experience building or leveraging data warehouses for integrating diverse supply chain datasets, attaching metadata, and enabling advanced analytics and predictive ML. Salary: $178,131/year Full-time. Job Site: 200 Ballardvale Street, Wilmington, MA 01887. Please note that this position is part of TraceLink, Inc.'s employee referral program and is eligible for an employee referral incentive. #LI-DNI