Remote Lead Data Scientist

Description:

• At Xenon7, we collaborate with leading enterprises and innovative startups on cutting-edge projects that utilize the latest technologies across various IT domains, including Data, Web, Infrastructure, and AI.
• We are committed to delivering advanced solutions that drive innovation and business growth, empowering global organizations and collaborating with startups.
• The client is one of Egypt’s premier financial institutions, known for its comprehensive banking services, including Institutional Banking, Personal Banking, and Islamic Banking.
• The institution is undergoing a digital transformation to establish a cutting-edge data architecture aimed at enhancing performance, service delivery, and data-driven decision-making.
• We are looking for a Lead Data Scientist to lead advanced analytics and machine learning initiatives, develop innovative data science solutions, mentor a team of data professionals, and collaborate with cross-functional teams to provide data-driven insights that add business value.

Requirements:

• A Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field; a Ph.D. is a plus.
• A minimum of 8+ years of experience in data science, with at least 2+ years in a leadership role guiding data teams and strategy.
• Proven expertise in Python, including libraries such as NumPy, SciPy, and XGBoost.
• Strong foundations in traditional machine learning methods, including regression, classification, and clustering.
• Experience working with databases, query optimization, and data pipeline development.
• Hands-on experience with deep learning frameworks such as Keras, PyTorch, or TensorFlow.
• A solid understanding of data architecture and ETL/ELT processes.
• Demonstrated leadership experience, including mentoring and guiding teams.

Benefits:

• The role is a long-term (one-year renewable) contract position through Xenon7, the approved vendor of the client.
• Payments are made in gross amounts in USD on a monthly schedule.
• This is a fully remote position based in Europe.
• The team operates in the GMT+3 time zone.