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Brillio 212mo ago
INR 0–0/yr

Lead/Sr. Lead Data Science & AI - R01549779

IndiaIndiaEmployeesenior
Data ScienceData EngineeringData & AI
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Quick Summary

Key Responsibilities

Initiate and complete multi-step tasks across platforms (e.g., CRM, ERP, cloud services). Decision-Making: Analyze data and make informed decisions aligned with organizational goals.

Technical Tools
Data ScienceData EngineeringData & AI
Director, Data Science & AI
  • Problem Formulation (Business problem to Data Science Problem), OKR Validation against statistical measures, Data Wrangling, Data Storytelling & Insight Generation, Problem Solving, Excel VBA, Data Curiosity, Technical Decision Making (How many iterations to go for vs when to stop iterating), Communication & Articulation: Vocal & Written, Business Acumen (Consume new domains quickly to learn through data), Design Thinking, Data Literacy
  • Data Science Foundation: Senior Data Scientist
  • Mandatory skills
  • • LLM application development and fine-tuning
  • • Agentic AI frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel)
  • • RAG patterns and enterprise knowledge integration
  • • Prompt design, tool integration, and orchestration
  • Roles and Responsibilities
  • Key Responsibilities
  • Autonomous Task Execution: Initiate and complete multi-step tasks across platforms (e.g., CRM, ERP, cloud services).
  • Decision-Making: Analyze data and make informed decisions aligned with organizational goals.
  • Process Optimization: Identify inefficiencies and propose improvements using real-time analytics.
  • Knowledge Management: Research, synthesize, and present information to support strategic initiatives.
  • Customer Interaction: Engage with users via chat, email, or voice to resolve queries and escalate issues when necessary.
  • Learning & Adaptation: Continuously improve performance based on feedback and outcomes.
  • Compliance & Ethics: Operate within defined ethical, legal, and organizational boundaries.

  • 🧩 Required Capabilities
  • Natural Language Understanding and Generation
  • Autonomous Workflow Management
  • Integration with APIs, databases, and enterprise tools
  • Real-time analytics and decision-making
  • Reinforcement learning or feedback-based adaptation

  • 📚 Preferred Training Data / Knowledge Domains
  • Business operations (sales, marketing, HR, finance)
  • Customer service and support
  • Technical documentation and product knowledge
  • Organizational policies and compliance frameworks

  • 📈 Performance Metrics
  • Task completion rate and accuracy
  • Decision quality and impact
  • User satisfaction scores
  • Learning velocity and adaptability
  • Ethical compliance rate

    • Location & Eligibility

    Where is the job
    India
    Hybrid within the country
    Who can apply
    IN
    Listed under
    India

    Listing Details

    Posted
    May 5, 2025
    First seen
    March 26, 2026
    Last seen
    May 5, 2026

    Posting Health

    Days active
    40
    Repost count
    0
    Trust Level
    37%
    Scored at
    May 5, 2026

    Signal breakdown

    freshnesssource trustcontent trustemployer trust
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    Lead/Sr. Lead Data Science & AI - R01549779INR 0–0
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