Senior Data Scientist - Forecasting

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 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, and 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

Requirements

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.

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.