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TA

Tiger Analytics Inc.

via Workable

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Senior Data Scientist - Demand Planning & Forecasting

Anywhere
Full-time
Posted 1/9/2026
Direct Apply
Key Skills:
Data Science
Machine Learning
Time-Series Modeling

Compensation

Salary Range

$120K - 200K a year

Responsibilities

Design, develop, and deploy advanced demand forecasting models using statistical and machine learning techniques, and operationalize them in cloud environments.

Requirements

Requires 10+ years in applied data science or analytics, 5+ years in demand forecasting, proficiency in Python and SQL, and experience deploying models in cloud environments, with domain experience in CPG, FMCG, or retail.

Full Description

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 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) 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.

This job posting was last updated on 1/12/2026

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