Data Scientist

Payrate: $48.00 - $50.00/hr. Summary: We are seeking a business-facing Data Scientist to support Executive Integrated Business Planning (IBP) and Supply Chain decision-making through advanced scenario modeling, analytics, and AI-enabled solutions. This role partners closely with business stakeholders to translate planning questions into quantitative analyses, develop scenario-based insights, and implement AI-driven tools that enhance decision velocity and transparency. The position combines business acumen, statistical modeling, and emerging AI/Agentic AI capabilities to modernize digital supply chain workflows. Responsibilities: • Scenario Support • Support structured problem framing with Supply Chain and IBP stakeholders. • Translate business questions into scenario models that quantify operational, financial, and service trade-offs. • Develop analyses to evaluate demand variability, supply constraints, capacity, inventory risk, and financial impacts. • Prepare executive-ready materials summarizing scenario assumptions, sensitivities, and implications. • Advanced Analytics & Modeling • Build predictive and prescriptive models (forecasting, optimization, simulation) to enhance supply chain planning decisions. • Conduct sensitivity and risk analyses to improve transparency in IBP discussions. • Partner with data engineering teams to ensure scalable and production-ready solutions. • AI & Agentic AI Enablement • Develop AI-enabled tools to support scenario analysis workflows, including automated scenario generation, exception detection, and executive insight summaries. • Build and deploy AI Agents to automate repetitive planning analyses and orchestrate multi-step scenario workflows. • Apply responsible AI practices including validation, monitoring, and governance. • Digital Solution Development • Develop interactive analytics applications (e.g., Streamlit, Dash) to democratize scenario insights. • Support adoption of AI- and data-driven planning capabilities across stakeholders. Required Qualifications: • Degree in Data Science, Statistics, Operations Research, Engineering, or related field with at least 3 years of experience. • Strong communication skills with the ability to present insights to technical and business audiences. • Experience in supply chain analytics, scenario modeling, or decision support roles. • Familiarity with IBP, S&OP, and supply chain planning processes. • Strong proficiency in Python (Pandas, NumPy, scikit-learn) and SQL. • Experience building predictive, optimization, or simulation models. • Experience developing AI/LLM-enabled solutions or workflow automation tools. Preferred Qualifications: • Experience developing AI Agents or LLM-orchestrated workflows. • Experience with Databricks, Spark, or cloud platforms (AWS, Azure, GCP). • Knowledge of supply chain financial trade-offs (working capital, service, revenue risk). • Experience in biotech, pharmaceutical, or regulated environments. Must Have Skills: • Business skills (business communication, presentation, etc.) • Scenario modeling experience • SQL data querying and python for modeling Pay Transparency: The typical base pay for this role across the U.S. is: $48.00 - $50.00 /hour. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, denmatch, lifeion benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match,  life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law. 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