Senior Data Scientist

About the job

Our client, a pioneering research and development organization at the forefront of technological innovation, is actively seeking a talented and experienced Senior Data Scientist specializing in Artificial Intelligence and Machine Learning to join their fully remote team. This role is critical for developing advanced predictive models, intelligent algorithms, and data-driven solutions that address complex scientific and industrial challenges. You will be instrumental in extracting valuable insights from large datasets, designing and implementing machine learning models, and deploying them into production environments. Responsibilities include data wrangling, feature engineering, model selection and training, validation, and performance monitoring. You will collaborate closely with research scientists, engineers, and domain experts to identify opportunities for applying AI/ML and to integrate solutions into existing systems. The ideal candidate will possess a strong foundation in statistics, mathematics, and computer science, coupled with practical experience in developing and deploying machine learning models using languages like Python or R, and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn). Expertise in areas such as natural language processing, computer vision, deep learning, or reinforcement learning is highly desirable. Proficiency with big data technologies and cloud platforms (AWS, Azure, GCP) is essential. We are looking for an innovative thinker with exceptional analytical and problem-solving skills, a passion for research, and the ability to communicate complex technical concepts effectively to both technical and non-technical audiences. A Ph.D. or Master's degree in a quantitative field and a demonstrated track record of delivering impactful AI/ML projects are required. This is an unparalleled opportunity to contribute to groundbreaking research and development, shape the future of AI, and advance your career in a dynamic and intellectually stimulating environment.

Requirements

• Machine Learning
• Artificial Intelligence
• Python
• R
• Data Wrangling
• Feature Engineering
• Statistical Analysis

Qualifications

• Ph.D.
• Master's degree
• Quantitative field

Preferred Technologies

• Machine Learning
• Artificial Intelligence
• Python
• R
• Data Wrangling
• Feature Engineering
• Statistical Analysis