Data Science and Machine Learning Senior Associate

Position Description:

Employees in this job function are responsible for predicting and/or extracting meaningful trends/ patterns/ recommendations from raw data, leveraging data science methodologies including Machine Learning (ML), predictive modeling, math, statistics, advanced analytics, etc.

Key Responsibilities:

• Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making
• Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data driven decision-making
• Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends
• Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation
• Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness

Skills Required:

• Data Model
• Machine Learning
• Data Science

Skills Preferred:

• GCP
• Data Analysis
• Python
• Artificial Intelligence & Expert Systems

Experience Required:

• Senior Associate Exp: 5+ years experience hands-on experience with mathematical programming, machine learning, artificial intelligence, optimization/simulation techniques, or statistical analysis
• Demonstrated technical skills in data analytics, AI/ML, operations research, and/or optimization.

Education Required:

• Master's Degree
• Bachelor's Degree

Education Preferred:

Additional Information:

• 4 days on site