Data Scientist

This role is pivotal in understanding customer behavior and translating business challenges into intelligent analytical solutions.

The ideal candidate will combine deep expertise in predictive modelling, AI/ML, and conversational AI with strong business engagement skills to deliver impactful, technology-driven solutions that enhance customer experience and drive business growth.

Responsibilities

• Collaborate closely with business stakeholders to deeply understand business challenges, define key performance indicators (KPIs), and translate complex customer-focused questions into clear, actionable analytical requirements.
• Conduct in-depth analysis of customer behavioral data to identify trends, patterns, and opportunities.
• Design, develop, and deploy propensity models using advanced statistical and machine learning techniques.
• Lead the design, development, and continuous improvement of AI-powered chatbot solutions to enhance customer engagement and automate customer interactions.
• Build, maintain, and optimize interactive dashboards and reports using BI tools to visualize customer performance metrics.
• Continuously identify opportunities to enhance data collection, processing, analysis, and insight delivery workflows.
• Work seamlessly with data engineers, IT, marketing, and product teams to ensure data consistency, integrate analytical solutions, and drive data-driven decision-making across the organization.

Qualifications

• MBA/Masters in a quantitative discipline like Mathematics/Statistics/Operations Research/Computer Science/Economics/Engineering or B-Tech in any related engineering discipline
• 3+ years of experience in the Marketing Analytics domain with a strong foundation in analytical thinking and problem-solving.
• Proven technical expertise in AI/ML modelling, including propensity and predictive modelling, along with hands-on experience in LLM-based Chatbot Development and Conversational AI.
• Proficient in Python and SQL, experienced in working with GCP and BigQuery, and capable of building dashboards using Power BI or Qlik Sense.
• Strong understanding of Digital Marketing and Customer Analytics, combined with data handling and ETL processes.