Lead Data Scientist - Machine Learning

About the Role

Our client is seeking an accomplished Lead Data Scientist with expertise in Machine Learning to join their innovative team in George . In this pivotal role, you will lead projects focused on developing and deploying sophisticated predictive models and AI solutions that drive business insights and strategic decision-making. You will mentor junior data scientists, collaborate with stakeholders across various departments, and contribute to building a robust data science culture. This is a unique opportunity to shape the direction of data-driven initiatives and work on challenging problems with real-world impact.

Key Responsibilities

• Lead the design, development, and implementation of advanced machine learning models.
• Analyze complex datasets to identify trends, patterns, and opportunities for data-driven solutions.
• Collaborate with business stakeholders to define project requirements and translate them into data science initiatives.
• Mentor and guide a team of junior data scientists, fostering a culture of learning and excellence.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences.
• Stay abreast of the latest advancements in AI, machine learning, and data science methodologies.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 8+ years of experience in data science, with a proven track record in leading ML projects.
• Deep understanding of various machine learning algorithms (e.g., regression, classification, clustering, deep learning).
• Proficiency in programming languages like Python or R, and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with big data technologies and cloud platforms (e.g., Spark, Hadoop, AWS, Azure).
• Strong analytical, problem-solving, and communication skills.

Benefits

• Highly competitive salary and bonus structure.
• Comprehensive medical, dental, and vision benefits.
• Generous paid time off and holiday leave.
• Opportunities for career advancement and continued education.
• Engaging work environment focused on innovation and data excellence.

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