Senior Data Scientist - Forecasting
New York, United States
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingDesign, 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
From the employer’s posting
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
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
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
What you’ll bring
All qualificationsCore experience
- 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 SQL skills for large-scale data processing
- Proven experience deploying models in cloud environments
Preferred experience
- Azure preferred
Qualification wording
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 SQL skills for large-scale data processing
Proven experience deploying models in cloud environments (Azure preferred)
Tools in this posting
- Python
- SQL
- Azure
- Lightgbm
- NumPy
- pandas
- Xgboost
- scikit-learn
Source — Tool mentions in context
- 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
- 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.
- 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)
- Strong SQL skills for large-scale data processing - Proven experience deploying models in cloud environments (Azure preferred) Benefits
- 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
Job 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 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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Source & posting history
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- Pay
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- Location & working pattern
New York, United States
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- Status in our records
- Active
- First seen by us
- Jul 6, 2026
- Recorded sightings
- 189
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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