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 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, and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness

Requirements

• 7+ years of experience in data science, machine learning, or a relevant field
• Proficiency in Python, Statistics, SQL, and Machine Learning
• Preferred: Experience with cloud platforms, LLMs, and GCP
• Bachelor's degree required; Master's degree preferred
• Notice period: Immediate to 30 days

Skills Required