Lead Data Scientist, Demand Forecasting & Time Series
Tiger Analytics, LLC
United States
On-site
USD 120,000 - 160,000
Full time
14 days+
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Job summary
Tiger Analytics, LLC is seeking a Senior Data Scientist with expertise in demand forecasting and time-series modeling. The ideal candidate will have over 10 years in data science with strong experience in CPG or retail sectors. Responsibilities include designing forecasting models, building machine-learning solutions, and collaborating with stakeholders. The position offers significant career development opportunities within a challenging and entrepreneurial environment, emphasizing individual responsibility and a collaborative team culture.
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, retail, or similar industries.
Advanced proficiency in Python including libraries like pandas and NumPy.
Strong SQL skills for large-scale data processing.
Proven experience deploying models in cloud environments, preferably Azure.
Responsibilities
Design, develop, and deploy time-series forecasting models.
Build machine-learning-based forecasting models.
Develop hierarchical and multi-level forecasting solutions.
Perform large-scale data extraction, transformation, and analysis.
Implement and operationalize models in cloud environments.
Collaborate with business stakeholders for scalable analytics solutions.
Skills
Demand forecasting
Time-series modeling
Machine learning
Data extraction
Data analysis
Collaboration with stakeholders
Tools
Python
SQL
Azure
Job description
Tiger Analytics, LLC is seeking a Senior Data Scientist with expertise in demand forecasting and time-series modeling. The ideal candidate will have over 10 years in data science with strong experience in CPG or retail sectors. Responsibilities include designing forecasting models, building machine-learning solutions, and collaborating with stakeholders. The position offers significant career development opportunities within a challenging and entrepreneurial environment, emphasizing individual responsibility and a collaborative team culture.