Lead/Sr. Lead 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

₹0 - ₹0 a year

Not a Bar for right fit!!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.