Data Scientist (SuccessFactors HCM)

4 - 9 years

20 - 25 Lacs

Posted:2 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Be part of the engineering team located in Bengaluru (Devanhalli office) and work in a highly motivated Scrum team. You work as a Data Scientist in an agile development team according to the agile Scrum methodology.
  • Prototype agents that can reason, plan, and take actions across tools and APIs.
  • Develop memory and context strategies for long-running or multi-step tasks.
  • Measure agent performance in terms of task success, efficiency, and trustworthiness.
  • Design structured prompts, templates, and orchestration flows (eg, POML or LangChain).
  • Work with advanced RAG systems
  • Work on Knowledge Graph Initiatives
  • Hallunication reduction using the techniques like GraphRAG
  • Test robustness against edge cases, hallucinations, or prompt injections.
  • Automate prompt evaluation and optimization with metrics & A/B testing.
  • Run experiments to measure user outcomes, engagement, and productivity gains.
  • Define KPIs for GenAI applications (accuracy, latency, business impact).
  • Use causal inference or reinforcement learning to optimize agent behavior.
  • Partner with engineers on scalable deployment (APIs, microservices, vector DBs).
  • Work with product managers to align AI capabilities with business workflows.
  • Educate stakeholders on what s feasible, safe, and valuable with AI.

What You Bring

  • Bachelors degree in

    Computer Science, Engineering

    , or a related field; Master s degree preferred. E Master s degree or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or related field
  • 4+ years

    of experience for Data Scientist in machine or AI research (industry, research lab, or advanced academic projects)
  • Strong background in machine learning, deep learning, data mining, and/or optimization
  • Experience in model Evaluation & metrics perplexity, BLEU, ROUGE, accuracy, F1, calibration, human-in-the-loop evaluation for generative outputs.
  • Experience or strong understanding of fine-tuning methods LoRA, prompt-tuning, retrieval-augmented generation (RAG).
  • Prompt Engineering structured prompting, few-shot, chain-of-thought, self-consistency
  • Safety & Alignment guardrails (Guardrails.ai, Guidance, Pydantic), monitoring for harmful behaviors.
  • Evaluation of Agents and generative AI apps task success rates, latency, cost/efficiency tracking.
  • Savvy with AI assisted code assist tools
  • Write production-grade Java/Python code
  • Work in a forward deployed engineering model for innovation projects
  • High quality, service and customer-oriented working attitude.

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