Senior Data Scientist- Time Series Forecasting

Job Title: Senior Data Scientist- Time Series Forecasting Company: AddAptech Job Category: Data Science Roles & Responsibilities: Role Overview Key Responsibilities * Design, develop, and implement end\-to\-end forecasting and pricing analytics solutions, from problem definition and data exploration to model deployment and monitoring. * Develop statistical and machine learning models for demand forecasting, sales prediction, price elasticity, and pricing optimization. * Apply advanced statistical techniques and predictive modelling to identify business trends, patterns, and actionable insights. * Analyse large and complex datasets to support demand planning, revenue forecasting, and data\-driven business decisions. * Work closely with business stakeholders to understand requirements and translate them into effective analytical solutions. * Evaluate model performance, improve prediction accuracy, and optimize existing forecasting and pricing models. * Drive measurable business outcomes, including improved forecast accuracy, revenue growth, margin optimization, and operational efficiency. * Ensure analytical solutions are scalable, reliable, and aligned with business objectives. Work Location: Bengaluru, Karnataka, India Availability: Full time

The candidate will be responsible for executing end\-to\-end data science projects, translating business requirements into analytical solutions, and driving improvements in forecasting accuracy, revenue growth, and pricing optimization. Required Skills \& Qualifications * Strong hands\-on Data Science experience with mandatory expertise in Forecasting and/or Price Elasticity/Pricing Analytics . * Proven experience delivering 2\-3 relevant forecasting and/or pricing analytics projects . * Strong expertise in statistical modelling, machine learning, predictive analytics, and quantitative problem\-solving. * Hands\-on proficiency in Python, SQL , and relevant data science libraries. * Experience with forecasting methodologies, regression techniques, time\-series analysis, and predictive modelling. * Understanding of price elasticity, price optimization, demand modelling, and revenue analytics. * Ability to independently handle complex analytical problems and deliver end\-to\-end data science solutions. * Strong analytical thinking, problem\-solving, and communication skills. * Ability to demonstrate direct technical contributions to projects and their measurable business impact. Preferred Experience Key Skills: Data Science, Python, SQL, Machine Learning Salary: Not disclosed