Lead Data Scientist

At Xenon7, we work with leading enterprises and innovative startups on exciting, cuttingedge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today's most complex challenges.

About the Client:

Join one of Egypt's premier financial institutions, recognized for its comprehensive suite of banking services, including Institutional Banking, Personal Banking, and Islamic Banking. With a global footprint spanning over 50 branches and correspondents, this financial leader serves a diverse and dynamic clientele. As part of its groundbreaking digital transformation journey, the institution is committed to establishing a cutting-edge data architecture to redefine performance, enhance service delivery, and enable datadriven decision-making.

Role Overview:

We are seeking a Lead Data Scientist to spearhead advanced analytics and machine learning initiatives for our client. In this strategic role, you will lead the development of innovative data science solutions, mentor a team of data professionals, and collaborate with cross-functional teams to deliver data-driven insights that drive business value. The ideal candidate will bring extensive experience in statistical analysis, machine learning, and leadership, with a proven track record of deploying enterprise-level models and solutions.

Responsibilities:

• Design, build, and optimize data pipelines to support scalable and efficient analytics and machine learning workflows
• Work with large datasets, ensuring high data quality, integrity, and availability
• Develop and implement machine learning models, focusing on regression, classification, and clustering techniques
• Apply libraries such as NumPy, SciPy, and XGBoost to solve real-world business problems
• Collaborate with cross-functional teams to define data requirements, ensuring alignment with business goals
• Lead and mentor a team of data professionals, fostering collaboration and driving best practices
• Optimize query performance and database structures to support fast and efficient data processing
• Explore and implement deep learning techniques using Keras, PyTorch, or TensorFlow where applicable

About the contract:

• The role is a long-term (one-year renewable) contract position through Xenon7, which is the approved vendor of the client.
• The payments are paid out in gross amount in USD on a monthly schedule
• Fully remote position in Europe
• Team time zone: GMT+3

Requirements

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field; a Ph.D. is a plus
• 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 like 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
• Solid understanding of data architecture and ETL/ELT processes
• Demonstrated leadership experience, including mentoring and guiding teams