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Senior Data Scientist - Demand Planning & Forecasting

4 months, 3 weeks ago
United States, Canada
Full-time
Lead
Data Scientist
Data Science and Analytics
Azure LightGBM Machine Learning MLOps NumPy Pandas Python Random Forest Scikit-learn SQL XGBoost
Apply Now
Tiger Analytics

Tiger Analytics

Tiger Analytics is a leading advanced analytics consulting firm partnering with Fortune 100 companies to drive business value through expertise in marketing science, customer analytics, and operations analytics.

Professional Services
1K-5K
Founded 2011
View All Jobs 71

Description

  • Design, develop, and deploy time-series forecasting models (ARIMA, SARIMA, 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 forecasting models in cloud environments (Azure preferred).
  • Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions.
  • Scale and maintain forecasting solutions in production environments.

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 and operationalizing models in cloud environments (Azure preferred).
  • Experience with time-series methods (ARIMA, SARIMA, ETS) and hierarchical forecasting.
  • Experience building ML forecasting models with GBM, Random Forest, XGBoost, and LightGBM.

Benefits

  • Significant career development opportunities in a fast-growing, entrepreneurial environment.
  • High degree of individual responsibility and ownership.
  • Equal employment opportunity across protected characteristics.

Interested in this position?

Apply directly on the company website

Apply Now

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