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Lead/Sr. Lead Data Science & AI - R01549779

0 years

0 Lacs

bengaluru karnataka india

Posted:1 day ago| Platform: Linkedin logo

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Skills Required

data ai okr storytelling excel vba communication design development tuning integration crm erp analyze optimization analytics management research synthesize support chat resolve learning compliance ethics workflow reinforcement training marketing service documentation

Work Mode

On-site

Job Type

Full Time

Job Description

Director, Data Science & AI

Primary Skills

  • 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
Specialization
  • Data Science Foundation: Senior Data Scientist
Job requirements
  • 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
Not a Bar for right fit!!

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