Senior Decision Science Associate
LinkedIn (company site, opens in a new tab)7+ yrsBengaluruHybridDirect career pageEst. 40–85 LPA
Posted 3h ago
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Job description
Structured overview of role & requirements
About This Role
- Own strategic AI/ML initiatives end to end, from defining business problems and designing solutions through production deployment and adoption.
- Build and scale predictive, GenAI, and other ML solutions—including sales-team systems—to improve business decisions, customer value, and operational efficiency.
- Set technical direction, success metrics, and production practices; partner across Product, Engineering, Sales, and business teams, and mentor junior engineers.
Minimum Requirements
- Work Experience Required: 7+ years applying machine learning and statistical techniques to complex business problems.
- Master’s or PhD in Computer Science, AI, Machine Learning, or a related quantitative discipline.
- Python skills and experience building production-grade ML applications and scalable pipelines integrated into production systems.
- Experience handling large structured and unstructured datasets using Spark, SQL, or distributed computing frameworks.
Ideal Candidate Profile
- Has taken ML solutions from experimentation to reliable production use, including pipeline automation, monitoring, and ongoing evaluation.
- Can translate ambiguous business needs into scalable AI solutions and influence both technical and non-technical stakeholders.
- Brings production GenAI experience—such as LLMs, RAG, or agent workflows—and can guide technical work across projects and mentor others.