Lead Data Scientist
A company is looking for a Lead Data Scientist (PhD) - Intelligent Forecast Application.
Key Responsibilities:
Lead the design and architecture of the Intelligent Forecast Application, defining capabilities and integration points
Develop a strategic roadmap for forecasting capabilities and identify opportunities for innovation using AI/ML techniques
Design, develop, and validate accurate forecasting models using advanced techniques and manage forecasts across various product hierarchies
Required Qualifications:
PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, or a related quantitative field
5+ years of experience in a Data Scientist or Machine Learning Engineer role focused on advanced forecasting solutions
Expert proficiency in Python and/or R, and strong proficiency in SQL
Extensive experience with deep learning frameworks and forecasting libraries
Hands-on experience with cloud providers for data science and ML deployments
A company is looking for a Lead Data Scientist (PhD) - Intelligent Forecast Application.
Key Responsibilities:
Lead the design and architecture of the Intelligent Forecast Application, defining capabilities and integration points
Develop a strategic roadmap for forecasting capabilities and identify opportunities for innovation using AI/ML techniques
Design, develop, and validate accurate forecasting models using advanced techniques and manage forecasts across various product hierarchies
Required Qualifications:
PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, or a related quantitative field
5+ years of experience in a Data Scientist or Machine Learning Engineer role focused on advanced forecasting solutions
Expert proficiency in Python and/or R, and strong proficiency in SQL
Extensive experience with deep learning frameworks and forecasting libraries
Hands-on experience with cloud providers for data science and ML deployments