Data Scientist

Key Responsibilities: Develop and implement machine learning models and algorithms to support our program objectives Collaborate with cross-functional teams including data science, software engineering, and product management to build predictive models, forecasting tools, and recommendation systems Analyze, optimize and maintain existing machine learning models Participate in data model and architecture design Train and evaluate models using statistical methods Troubleshoot and identify issues with data models and data pipelines Qualifications: Bachelor's or Master's degree in computer science, data science, statistics, or related fields Minimum of 3 years of experience in machine learning and data analysis Strong programming skills in Python, R, Tensorflow and prompt engineering Experience in data modeling, data architecture, and data pipeline design Experience with big data platforms such as Hadoop, Spark, and Hive Experience in cloud platforms like AWS/Azure/GCP Experience in NLP, computer vision, deep learning techniques Excellent communication and collaboration skills