Director, Data Science & AI
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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
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Data Science Foundation: Senior Data Scientist
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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
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Roles and Responsibilities
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Key Responsibilities
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Autonomous Task Execution: Initiate and complete multi-step tasks across platforms (e.g., CRM, ERP, cloud services).
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Decision-Making: Analyze data and make informed decisions aligned with organizational goals.
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Process Optimization: Identify inefficiencies and propose improvements using real-time analytics.
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Knowledge Management: Research, synthesize, and present information to support strategic initiatives.
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Customer Interaction: Engage with users via chat, email, or voice to resolve queries and escalate issues when necessary.
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Learning & Adaptation: Continuously improve performance based on feedback and outcomes.
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Compliance & Ethics: Operate within defined ethical, legal, and organizational boundaries.
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Required Capabilities
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Natural Language Understanding and Generation
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Autonomous Workflow Management
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Integration with APIs, databases, and enterprise tools
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Real-time analytics and decision-making
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Reinforcement learning or feedback-based adaptation
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Preferred Training Data / Knowledge Domains
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Business operations (sales, marketing, HR, finance)
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Customer service and support
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Technical documentation and product knowledge
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Organizational policies and compliance frameworks
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Performance Metrics
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Task completion rate and accuracy
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Decision quality and impact
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User satisfaction scores
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Learning velocity and adaptability
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Ethical compliance rate
