Data Scientist

The Data Scientist will build and implement analytics solutions for clients with strong aptitude for numbers and experience in various domains. Responsibilities include understanding business requirements and translating them into technical requirements, creating detailed business analysis, performing data wrangling, model building and model deployment, staying current with research and technology, and leading initiatives to improve team collaboration. The role requires hands-on experience in Data Science, Python/R, PySpark/SparkR, and state-of-the-art technologies for exploratory data analysis and predictive modeling. This position also offers exposure to enterprise-wide analytics transformation programs and the chance to influence strategic decision-making at a senior level. The team fosters an inclusive, growth-oriented culture where continuous learning and knowledge sharing are actively encouraged across all levels.

10-14 years of Data Science experience with hands-on expertise in Python/R, PySpark/SparkR, ML algorithms, and cloud platforms. Experience in Demand Forecasting, Price Optimization. Strong SQL knowledge. Understanding of statistical concepts. Bachelor of Engineering required. Any Graduate or Any Postgraduate. Candidates should demonstrate strong analytical thinking, attention to detail, and the ability to manage multiple priorities in a fast-paced, deadline-driven environment. A collaborative mindset, willingness to mentor junior team members, and adaptability to changing business needs are highly valued for this role.