Senior Decision Scientist Forecasting & Optimization
Simon & Schuster (company site, opens in a new tab)6+ yrsNoidaOn-siteDirect career pageEst. 14–22 LPA
Posted 29d ago
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Job description
Structured overview of role & requirements
About This Role
- Convert ambiguous business questions into clear decision problems and analytical plans focused on marketing effectiveness, demand forecasting, pricing, and supply-chain optimization.
- Develop and maintain advanced forecasting models (time-series, probabilistic, machine-learning) and optimization solutions for pricing, inventory, and resource allocation with measurable business impact.
- Build, deploy, monitor, and continuously improve decision models and AI-assisted tools to drive adoption and operationalize data-driven decisions across teams.
Minimum Requirements
- 6+ years of experience in decision science, data science, applied economics, operations research, forecasting, or quantitative analytics.
- Strong expertise in Python and SQL with advanced time-series modeling, probabilistic and hierarchical forecasting skills.
- Experience with causal inference methods for marketing impact measurement and mathematical optimization in pricing or supply-chain contexts.
- Proven end-to-end production experience moving models from development to production environments using modern software practices and cloud deployment.
Ideal Candidate Profile
- Experienced in driving business outcomes by translating model outputs to actionable decisions with skillful communication of uncertainty and tradeoffs.
- Comfortable working with responsible AI and generative AI tools to accelerate analytics workflow and solution delivery.
- Background or interest in publishing, media, retail, or consumer products with familiarity in modern solution patterns like orchestration, automated retraining, and decision-support applications.