Role Summary

Lead the development and delivery of machine learning and advanced analytics solutions, turning complex data into actionable insights that support business decision-making.

Experience: 8–12 years

Key Responsibilities
Hands-on experience with Azure, Dataiku, Snowflake, and Databricks for analytics and model development.
Proficiency in Python, SQL, statistical modeling, and machine learning techniques.
Ability to work with large and complex datasets and translate business problems into analytical solutions.
Develop descriptive, predictive, and prescriptive machine learning models.
Collect, analyze, cleanse, transform, and model data to identify trends and support business decisions.
Lead end-to-end development of machine learning and analytics prospects, from early exploration through deployment.




Apply advanced and predictive analytics techniques to build models that improve business performance.
Perform complex statistical analysis using data mining, modelling, and testing techniques.
Ensure reliability and quality of productionised analytics solutions.
Collaborate with product managers and data architecture teams to build scalable and reliable data platforms and products.
Recommend improvements to data and analytics systems, platforms, and processes.

Key Skills
Machine Learning
Predictive & Advanced Analytics
Statistical Analysis & Data Mining
Data Analysis & Modelling
Data Collection, Cleansing & Transformation
Productionisation of Analytics Solutions
Data & Analytics Strategy
Robust stakeholder collaboration and problem-solving skills

📌 Data Scientist Noida (India)
🏢 Topcoder
📍 India