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

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

About The Position

The Senior Specialist, Decision Intelligence is a technical role within the DSCS Digital Technologies organization, which drives digital transformation, data architecture, and technology solutions for Development Sciences and Clinical Supply (DSCS). 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; develops simulation, optimization, and probabilistic forecasting capabilities; and turns model and data outputs into clear business insights. It also supports business cases and KPI tracking for digital capabilities, modern data foundations and pipelines, AI-enabled decision workflows, and user-friendly web applications. The role works with DSCS stakeholders, Digital Operations teams, Agentic Intelligence, and system architects to deliver scalable, secure, and maintainable solutions, and documents and supports new capabilities for end users.

Requirements

  • At least 3 years of experience in data science, operations research, data engineering, or a related highly technical role.
  • Bachelor’s degree in Engineering, Operations Research, Data Science, or a comparable technical field, with at least 3 years of experience.
  • Strong expertise in Python.
  • Experience building and deploying advanced machine learning models.
  • Proven ability to gather complex requirements from non-technical stakeholders and translate them into actionable technical roadmaps.
  • Strong analytical and problem-solving skills, including the ability to formulate complex business challenges as mathematical problems and technical solutions.
  • Demonstrated ability to build trust-based relationships and execute priorities with diverse technical and non-technical stakeholders.
  • Excellent written and verbal communication skills, including explaining technical concepts clearly to non-technical stakeholders.
  • Independent decision-making ability and a proactive approach to delivering results.
  • Proven experience using GitHub for version control.
  • Comfort working with AI-assisted development tools such as Cline and an IDE such as VS Code or an equivalent.
  • Required Skills listed in the posting: Application Development, Business Analysis, Decision Management, Engineering Standards, GitHub, Industrial Engineering, Machine Learning (ML), Python (Programming Language), SQL Databases, Supply Chain Sourcing, User Documentation, Version Control, Version Control System, Workflow Automation.

Nice To Haves

  • Pharmaceutical development and/or clinical supply chain experience.
  • Understanding of CMC development across modalities, such as small molecules, large molecules, and vaccines.
  • Experience with Databricks and MLOps.
  • Familiarity with or strong interest in Agentic AI and integrating AI agents into workflows.
  • Experience deploying applications or agents.

Responsibilities

  • Translate business processes and stakeholder requirements into mathematical representations and technical specifications for models, agents, and data products.
  • Develop mathematical models to simulate or optimize business processes using methods such as machine learning, discrete-event simulation, and optimization.
  • Develop and implement probabilistic forecasting and stochastic optimization techniques to inform strategic decisions under uncertainty.
  • Build robust, sustainable analytics that can be integrated with web applications and/or agents.
  • Translate data and model outputs into clear, concise, interpretable business insights, and collaborate with change management and subject-matter experts to implement AI-enabled decision-making processes.
  • Develop business cases and articulate value propositions for new digital capabilities in collaboration with DSCS subject-matter experts.
  • Define and track KPIs to monitor the value realized through digital transformation.
  • Build and optimize scalable data pipelines using Databricks, Python, Dataverse, and advanced SQL, transforming raw data into contextualized, AI-ready data products.
  • Test and implement agentic AI workflows, including tools such as Copilot Studio, to automate decision-making and generate proactive insights.
  • Develop and deploy user-friendly web applications that enable interaction with data and analytics.
  • Use modern development environments and AI coding assistants alongside GitHub to manage scripts, applications, and data models and maintain code quality.
  • Collaborate with system architects to support scalable, secure, and efficient DevOps.
  • Document processes, code, mathematical and data models, and system architectures; provide training and technical support to end users.
  • Work across the DSCS Digital Technologies team to streamline routine work through advanced automation and AI tools.
  • Contribute to the Decision Intelligence Strategic Roadmap by developing reusable components for decision intelligence across business domains.

Benefits

  • Medical, dental, and vision healthcare benefits and other insurance benefits for employees and family.
  • Retirement benefits, including 401(k).
  • Paid holidays, vacation, and compassionate and sick days.
  • Annual bonus and long-term incentive, if applicable.
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