Sr. Specialist, Decision Intelligence (m/f/d)
MSD
Summary
Digital is the multiplier that will allow Development Sciences and Clinical Supply (DSCS) to deliver better experiments faster, efficient filing and launch, more robust supply chains and higher-confidence decisions across the portfolio. The DSCS Digital Technologies (DDT) organization is tasked with the mission to pioneer and deploy innovative digital technologies that drive the acquisition, automation and utilization of data to enhance insights, efficiency, and quality of DSCS processes and methods.
Job description
The Senior Specialist, Decision Intelligence is a technical role responsible for developing advanced analytics and operations research capabilities to enable data-driven decision making and inform DSCS business operations. This role will focus on modeling, simulation and optimization frameworks to solve complex business problems.
Primary Activities
- Requirements Translation: Translate business processes and/or stakeholder requirements into accurate mathematical representations and technical specifications for corresponding models, agents and data products.
- Decision Intelligence Strategy: Translate data and model outputs into clear, concise and interpretable business insights. Collaborate with Digital Operations Change Management and functional area SMEs to define and implement AI-enabled decision making processes across DSCS.
- Business case development: In collaboration with DSCS SMEs, develop the business case and articulate the value proposition for new digital capabilities.
- Performance monitoring: Define and track KPIs to monitor the value realized through digital transformation within the DSCS organization.
- Modeling & Simulation: Develop mathematical models to simulate and/or optimize business processes using techniques including but not limited to machine learning, discrete event simulation and optimization.
- Data Engineering: In collaboration with the Digital Operations Shared Services team, build and optimize scalable data pipelines leveraging Databricks, Python, Dataverse, and advanced SQL. Transform raw data into contextualized, AI-ready data products.
- Agentic AI: In collaboration with Agentic Intelligence team, test and implement agentic AI workflows using tools like Copilot Studio to automate decision-making processes and generate proactive business insights.
- Web Application Development: In collaboration with Digital Operations Shared Services team, develop and deploy user-friendly WebApps to support interaction with data and analytics.
- Development & Code Management: Utilize modern development environments (VS Code) and AI coding assistants (Cline) alongside GitHub for robust version control of scripts, applications, and data models to ensure code quality.
- Systems Architecture: Work closely with system architects to ensure scalable, secure, and efficient DevOps.
- Documentation & Enablement: Document processes, code, mathematical models, data models, and system architectures; provide training and technical support to end-users as new digital capabilities are rolled out.
Requirements
- 3+ years in data science, operations research, data engineering or a related highly technical role
- Pharmaceutical development and/or clinical supply chain experience strongly preferred
- Understanding of CMC development across modalities (ie small molecule, large molecule, vaccine) preferred
- Strong expertise in Python
- Experience building and deploying advanced machine learning models
- Databricks and MLOps experience preferred
- Proven track record of gathering complex requirements from non-technical stakeholders and translating them into actionable, technical roadmaps
- Familiarity with or strong interest in Agentic AI and integrating AI agents into workflows
- Proven experience with GitHub for version control
- Comfortable leveraging AI-assisted development tools like Cline
- Proficiency working in VScode or other equivalent integrated development environment
- Experience deploying apps or agents preferred
- Strong analytical and problem-solving skills to tackle complex business challenges and translate them into mathematical problem statements and corresponding technical solutions
- Demonstrated ability to develop strong, trust-based relationships to execute priorities with a diverse group of technical and non-technical stakeholders
- Excellent written and verbal communication skills; demonstrated ability to communicate technical concepts clearly to non-technical stakeholders
- Independent decision-making abilities with a proactive approach to delivering results
- Bachelor’s degree with 3+ years of experience in Engineering, Operations Research, Data Science, or comparable technical field
Benefits
- Medical, Dental & Vision
- Retirement benefits
- 401(k)
- Paid holidays
- Vacation
- Compassionate leave
- Sick days
Company overview
MSD, known as Merck Sharp & Dohme outside the United States and Canada, is a global research-intensive biopharmaceutical company headquartered in Rahway, New Jersey. Founded in 1891, the company has established itself as one of the world's leading pharmaceutical corporations with a rich history spanning over 130 years. MSD operates as the international division of Merck & Co., Inc., focusing on the discovery, development, manufacturing, and marketing of innovative medicines, vaccines, biologic therapies, and animal health products. The company's extensive portfolio includes groundbreaking treatments in oncology, infectious diseases, cardiology, diabetes, and vaccines, with notable products such as Keytruda (pembrolizumab) for cancer immunotherapy, Gardasil for HPV prevention, and Januvia for diabetes management. MSD maintains a strong commitment to research and development, investing significantly in scientific innovation to address unmet medical needs worldwide. With approximately 75,000 employees globally, the company operates through four main segments: pharmaceuticals, animal health, healthcare services, and strategic alliances. MSD's mission centers on using leading-edge science to save and improve lives around the world, guided by the principle that medicine is for people, not profits.