Description

Lead complex data projects and deliver customer-centric solutions through hands-on execution and strategic oversight.

Responsibilities

• Design, develop, and deploy machine learning models and data-driven products.
• Prototype new solutions and convert them into enterprise-ready applications.
• Implement advanced LLMs, forecasting techniques, and customer lifecycle strategies.
• Build intelligent products to improve customer experiences and operational efficiency.
• Mentor junior data scientists and manage technical stakeholder relationships.

Required Skills

• 5+ years of experience in machine learning and data science roles.
• Proficiency in Python, R, TensorFlow, PyTorch, and SQL.
• Experience with AWS technologies including S3, Redshift, and SageMaker.
• Hands-on experience with EC2, Lambda, and Kinesis.
• Expertise in data mining, statistical modeling, classification, and clustering.
• Practical application of forecasting, customer lifecycle management, and dynamic pricing.
• Bachelor’s or Master’s degree in Data Science, Machine Learning, or a related field.

Preferred Skills

• Ph.D. in a quantitative field.

Key Skills

Education

Bachelor’s/Master’s degree