Senior Decision Scientist Discovery & Intelligence
Simon & Schuster (company site, opens in a new tab)6+ yrsNoidaOn-siteDirect career pageEst. 16–30 LPA
Posted on 15 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead development of AI-enabled discovery, ranking, and recommendation models to transform complex content and market data into actionable insights.
- Own the full solution lifecycle including model building, deployment, monitoring, and maintenance for AI-enabled workflows.
- Collaborate with business stakeholders and technical teams to create scalable, governed intelligence products and promote responsible, reproducible data science practices.
Minimum Requirements
- Minimum 6+ years experience in data science, machine learning, or applied research with leadership of complex analytical products.
- Strong expertise in Python, SQL, and advanced techniques in search, ranking, recommendations, NLP, embeddings, or graph methods.
- Proven experience deploying models into production environments using modular code, APIs, automated tests, Git, CI/CD, and cloud platforms.
- Experience applying generative AI or foundation models with appropriate privacy, bias mitigation, explainability, and human oversight controls.
Ideal Candidate Profile
- Experienced in advanced discovery systems such as vector databases, retrieval-augmented generation, multimodal models, or knowledge graphs.
- Skilled at designing credible evaluation frameworks combining offline metrics, human judgment, experiments, and business outcomes.
- Strong ability to communicate complex technical concepts to business and technical leaders and mentor other data scientists.