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Tiger Analytics Inc.

Senior Data Scientist - Forecasting

SalaryNo pay range posted
LocationNew York, New York, United States
Typefull-time
SenioritySenior
Experience10+ yrs
DepartmentData Science
Company size5,001–10,000 people
First seenOct 5, 2026 · 6d ago
Verified live1d ago
New York law requires most employers to post a pay range.
At a glanceSummarised by Seekless from the posting.
Must have6
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)
Skills
Python
pandas
NumPy
scikit-learn
statsmodels
SQL
Azure
ARIMA
SARIMA
ETS
GBM
Random Forest
XGBoost
LightGBM
About the company
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.
About the role
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.
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