Sr. Specialist, Decision Intelligence (m/f/d)

MSD•Upper Gwynedd Township, PA
•$117,000 - $184,200•Hybrid

About The Position

The Senior Specialist, Decision Intelligence is a technical role within DSCS Digital Technologies (DDT), part of the Research Team. The role develops advanced analytics and operations research capabilities to support data-driven decision-making and DSCS business operations, with a focus on modeling, simulation, and optimization frameworks for complex business problems. The position translates business processes and stakeholder needs into mathematical models, technical specifications, and data products; builds scalable analytics and data foundations; and contributes to user-friendly web applications and agentic AI workflows. It also supports business cases for new digital capabilities, defines and tracks value-oriented KPIs, communicates model outputs as actionable insights, and advances reusable decision-intelligence capabilities across DSCS. The role collaborates with DSCS subject-matter experts, Digital Operations Shared Services, the Agentic Intelligence team, system architects, and end users.

Requirements

  • Bachelor’s degree in Engineering, Operations Research, Data Science, or a comparable technical field, with 3+ years of experience.
  • At least 3 years of experience in data science, operations research, data engineering, or a related highly technical role.
  • Strong expertise in Python.
  • Experience building and deploying advanced machine learning models.
  • Proven experience 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.
  • Comfort using AI-assisted development tools such as Cline and proficiency with VS Code or an equivalent integrated development environment.
  • Strong analytical and problem-solving skills, including translating complex business challenges into mathematical problem statements and technical solutions.
  • Ability to develop trust-based relationships and execute priorities with diverse technical and non-technical stakeholders.
  • Excellent written and verbal communication skills, including the ability to explain technical concepts clearly to non-technical stakeholders.
  • Independent decision-making ability and a proactive approach to delivering results.

Nice To Haves

  • Pharmaceutical development and/or clinical supply chain experience is strongly preferred.
  • Understanding of CMC development across modalities such as small molecules, large molecules, and vaccines is preferred.
  • Experience with Databricks and MLOps is preferred.
  • Experience deploying applications or agents is preferred.

Responsibilities

  • Translate business processes and stakeholder requirements into mathematical representations and technical specifications for models, agents, and data products.
  • Translate data and model outputs into clear, concise, interpretable business insights; collaborate with Digital Operations Change Management and functional subject-matter experts on AI-enabled decision-making processes.
  • Develop business cases and articulate the value proposition for new digital capabilities in collaboration with DSCS subject-matter experts.
  • Define and track KPIs to monitor value realized through digital transformation.
  • Develop mathematical models to simulate or optimize business processes, including through machine learning, discrete event simulation, and optimization techniques.
  • Build and optimize scalable data pipelines using Databricks, Python, Dataverse, and advanced SQL, transforming raw data into contextualized, AI-ready data products in collaboration with Digital Operations Shared Services.
  • Test and implement agentic AI workflows, including with Copilot Studio, to automate decision-making and generate proactive business insights in collaboration with the Agentic Intelligence team.
  • Develop and deploy user-friendly web applications that support interaction with data and analytics, in collaboration with Digital Operations Shared Services.
  • Use modern development environments, AI-assisted coding tools, and GitHub for version control and code quality.
  • Work with system architects to support scalable, secure, and efficient DevOps.
  • Document processes, code, mathematical models, data models, and system architectures; provide training and technical support to end users as digital capabilities are rolled out.
  • Work strategically across the DDT team to streamline routine work using advanced automation and AI tools.
  • Contribute to the DDT Decision Intelligence Strategic Roadmap and develop reusable components for decision-intelligence capabilities across business domains.

Benefits

  • Medical, dental, and vision healthcare and other insurance benefits for employees and families
  • Retirement benefits, including 401(k)
  • Paid holidays
  • Vacation
  • Compassionate and sick days
  • Annual bonus eligibility
  • Long-term incentive eligibility, if applicable
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