- 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** - Partner with supply chain, merchandising, planning, and business teams to understand forecasting requirements. - Translate business problems into analytical solutions. - Present model insights and recommendations to senior client stakeholders. - Lead workshops and forecasting strategy discussions with clients. - Implement and operationalize models in cloud environments - Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions

Role Description Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. We are seeking a Senior Data Scientist – Forecasting to join our advanced analytics team supporting leading Retail, CPG, and Supply Chain clients. In this role, you will design, develop, and deploy forecasting solutions that drive critical business decisions across: - demand planning - inventory optimization - replenishment - logistics - sales forecasting - supply chain operations You will work closely with business stakeholders, data engineers, supply chain planners, and analytics leaders to build scalable forecasting models that deliver measurable business impact. The ideal candidate combines strong statistical forecasting expertise with hands-on machine learning experience and the ability to translate complex analytical findings into actionable business recommendations. 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 - Partner with supply chain, merchandising, planning, and business teams to understand forecasting requirements - Translate business problems into analytical solutions - Present model insights and recommendations to senior client stakeholders - Lead workshops and forecasting strategy discussions with clients - Implement and operationalize models in cloud environments - Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions Qualifications - 10+ years of experience in applied data science or advanced analytics - 5+ years of hands-on experience in demand planning, demand forecasting, or sales forecasting - Strong domain experience in CPG, FMCG, retail, or similar industries - Advanced proficiency in Python (pandas, NumPy, scikit-learn, statsmodels) - Strong SQL skills for large-scale data processing - Proven experience deploying models in cloud environments (Azure preferred) Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Company Description Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

• Develop and refine generative models for recommendation systems within an LLM framework. • Contribute to the development of APIs and ETLs, ensuring their efficiency and integration with other teams such as Ads and Recommended for You. • Improve existing models and systems to optimize the user experience on iFood. • Build new components and explore new recommendation opportunities within the app. • Collaborate with the team to implement innovative and adaptable solutions in a dynamic environment.

• Collaborate closely with Data Engineers to implement strategic engineering proof of concepts and contribute to technology strategy and engineering roadmaps • Collaborate with clients and internal partners throughout the organization to identify and execute upon opportunities for demonstrating marketing data to drive business solutions • Audit existing datasets for accuracy, reliability and consistency • Advise senior team members to identify data models and algorithms to apply to unique client problems • Increase and optimize user experiences, revenue generation, ad targeting and other business outcomes using predictive modeling and other advanced analysis techniques • Coordinate with internal and client data engineering teams to implement models and supervise outcomes • Support digital analytics implementations with broad understanding of tag management, HTML and JavaScript on websites • Develop and test applications (visualization, routing data, cleaning data, access to data, interacting with data) for analytics pipelines • Other duties as assigned