Senior Forecasting Scientist: Time-Series & ML for Retail

Tiger Analytics, LLC; United States; Hybrid; USD 120,000 - 160,000; Full time

Job summary

Tiger Analytics, LLC is seeking a Senior Data Scientist – Forecasting to develop critical forecasting solutions for leading Retail, CPG, and Supply Chain clients. In this role, you will design, build, and deploy models that derive insights from complex data, partnering closely with stakeholders to drive business decisions.

The ideal candidate will bring over 10 years of experience in data science, a strong background in statistical and machine learning techniques, and the ability to communicate complex findings effectively. This is a fantastic opportunity for career growth in a leading analytics firm.

Qualifications

• 10+ years of experience in applied data science or advanced analytics.
• 5+ years of hands-on experience in demand planning and forecasting.
• Strong domain experience in CPG, FMCG, or retail industries.

Responsibilities

• Design and deploy time-series forecasting models including ARIMA, SARIMA.
• Build machine-learning-based forecasting models using GBM, Random Forest.
• Perform data extraction and analysis using SQL.

Skills

Statistical forecasting expertise

Hands-on machine learning experience

SQL for large-scale data processing

Advanced proficiency in Python

Job description

Tiger Analytics, LLC is seeking a Senior Data Scientist – Forecasting to develop critical forecasting solutions for leading Retail, CPG, and Supply Chain clients. In this role, you will design, build, and deploy models that derive insights from complex data, partnering closely with stakeholders to drive business decisions.

The ideal candidate will bring over 10 years of experience in data science, a strong background in statistical and machine learning techniques, and the ability to communicate complex findings effectively. This is a fantastic opportunity for career growth in a leading analytics firm.