Data Scientist

Role Overview

The Data Scientist will be responsible for leveraging data to drive business insights, build predictive models, and enable data-driven decision-making across functions. The role involves working closely with product, engineering, and business teams to develop scalable data solutions, enhance customer experience, and optimize operations.

Key Responsibilities

Data Analysis & Insights

• Analyze large structured and unstructured datasets to generate actionable insights
• Identify trends, patterns, and opportunities to improve business performance
• Support decision-making through data-backed recommendations

Machine Learning & Model Development

• Build, train, and deploy machine learning models (regression, classification, clustering, recommendation systems)
• Continuously monitor and improve model performance
• Work on use cases like customer segmentation, churn prediction, and personalization

Data Engineering & Pipelines

• Design and implement scalable data pipelines and workflows
• Ensure data quality, reliability, and accessibility
• Collaborate with engineering teams for production deployment

Experimentation & Performance Tracking

• Conduct A/B testing and experiments to improve product features
• Track key metrics and evaluate impact of data-driven initiatives
• Build dashboards and reports for stakeholders

AI & Innovation

• Explore and implement AI/LLM-based solutions
• Stay updated with advancements in AI, ML, and analytics
• Identify opportunities to automate processes and enhance efficiency

Qualifications and Experience

• Bachelors or Masters degree in Computer Science, Data Science, Statistics, or related field
• 25 years of experience in Data Science / Analytics (can adjust based on role)
• Experience with ML models, data handling, and analytics tools
• Exposure to cloud platforms (AWS/GCP/Azure) and big data tools is a plus