• Design and execute data science experiments, including causal analysis, A/B tests, and offline evaluation. • Develop, evaluate, and iterate on predictive models for credit/risk scoring, revenue forecasting, and policy performance. • Own model performance and monitoring: define success metrics, investigate drift, and drive improvements to data quality and feature reliability. • Partner with Product Engineering to productionize models and analytics with emphasis on reliability, reproducibility, and maintainability. • Perform exploratory data analysis, feature engineering, and robust validation on real-world, messy data. • Communicate insights and recommendations clearly to technical and non-technical stakeholders through documentation and presentations. • Improve analytical standards, code review practices, and documentation to raise technical quality. • Mentor and support team members through pairing, feedback, and sharing best practices.

• Collaborate with stakeholders to identify and understand business problems and define data-driven solutions; • Lead end-to-end data science projects, from problem formulation and data exploration to model development, validation, and deployment; • Apply advanced statistical modelling and machine learning techniques to derive actionable insights and drive strategic decision-making; • Develop and implement predictive and prescriptive models to solve complex business challenges; • Collaborate with software and data engineers to integrate data from multiple sources and ensure data quality and integrity; • Communicate complex analytical concepts and insights to technical and non-technical stakeholders in a clear and compelling manner; • Stay up-to-date with the latest advancements in data science, machine learning, and AI technologies, and proactively identify opportunities to apply them to business problems.

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are seeking a highly experienced Senior Data Scientist with deep expertise in demand forecasting and time-series modeling. The ideal candidate will have strong applied experience building, deploying, and scaling forecasting solutions in production environments, particularly within CPG, FMCG, retail, or similar industries. Key Responsibilities - Design, develop, and deploy time-series forecasting models including ARIMA, SARIMA, and ETS - Build machine-learning-based forecasting models using GBM, Random Forest, XGBoost, and LightGBM - Develop hierarchical and multi-level forecasting solutions across products, regions, and channels - Perform large-scale data extraction, transformation, and analysis using SQL - Implement and operationalize models in cloud environments (Azure preferred) - Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are seeking a highly experienced Senior Data Scientist with deep expertise in demand forecasting and time-series modeling. The ideal candidate will have strong applied experience building, deploying, and scaling forecasting solutions in production environments, particularly within CPG, FMCG, retail, or similar industries. Key Responsibilities - Design, develop, and deploy time-series forecasting models including ARIMA, SARIMA, and ETS - Build machine-learning-based forecasting models using GBM, Random Forest, XGBoost, and LightGBM - Develop hierarchical and multi-level forecasting solutions across products, regions, and channels - Perform large-scale data extraction, transformation, and analysis using SQL - Implement and operationalize models in cloud environments (Azure preferred) - Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions