Description

You will apply machine learning techniques to solve complex business problems through modeling and cross-functional collaboration.

Responsibilities

• Apply machine learning techniques including clustering, regression, neural networks, and time series forecasting.
• Develop models for demand sensing, anomaly detection, simulation, and optimization.
• Collaborate with clients, project managers, solution architects, and data engineers to implement solutions.
• Utilize AI/ML advancements to address specific business requirements.

Required Skills

• 5+ years of professional experience.
• Expertise in time series forecasting using ARIMA, Prophet, or Exponential Smoothing.
• Strong statistical background.
• Proficiency in Python or R for data science applications.
• Experience in Supply Chain, Demand Planning, Pricing, or Market Intelligence.
• Any Graduate degree.

Preferred Skills

• Knowledge of SQL and ETL tools.
• Experience with Big Data technologies.

Key Skills

Education

Any Graduate