Data Scientist

Responsibilities:

• Building end-to-end ML systems  and deploying them to operate at scale.
• Research and devise innovative statistical models/ML models for data analysis.
• Develop and maintain applications. Implement changes to algorithms to improve AI performance and retrieval techniques.
• Use predictive modeling to increase and optimize customer service experience and supply chain optimization.
• Identify patterns in data using statistical modeling, develop custom data models and algorithms to apply to data sets.
• Work with business partners throughout the organization to find opportunities for using company data to drive solutions.
• Working with project managers to establish objectives for AI systems.

 Qualifications:

• Bachelor s degree in computer science, statistics, applied mathematics, or related discipline.
• Experience solving problems with Conversational AI in a production environment for a High-tech Manufacturing Industry.
• 2+ years of experience in Python and ML packages.
• Excellent understanding of machine learning techniques and algorithms such as, Regression models, kNN, SVM,NB, Decision Trees.
• Expertise/Familiarity with one or more deep learning frameworks such as TensorFlow, PyTorch.

Key Skills:

• Statistical analysis.
• Machine learning.
• Data visualization.
• Programming.
• Database management.
• Technical skills.
• Database management.