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Brillio 211mo ago
INR 0–0/yr

Lead/Sr. Lead Data Science & AI - R01549779

IndiaBangaloreEmployeesenior
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

    • Listing Details

    Posted
    May 5, 2025
    First seen
    March 26, 2026
    Last seen
    April 24, 2026

    Posting Health

    Days active
    29
    Repost count
    0
    Trust Level
    37%
    Scored at
    April 25, 2026

    Signal breakdown

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