TL;DR

Senior Data Scientist (AI): Leading the design and development of data-driven solutions and analytical models, ensuring proper delivery and governance using MLOps practices. Focus on leveraging data to solve business problems, building optimization models, and leading teams in a project environment.

Location: Onsite in Cairo, Egypt. May require international travel.

Company

%hirify_global% is a company that combines business knowledge, technological edge, and design experience to develop innovative digital solutions for clients across various sectors.

What you will do

Lead the design and management of data science solutions within projects.
Leverage data and domain knowledge to solve business problems and create quantifiable value.
Define problem statements, collect data, build analytical models, and design solutions cross-functionally.
Build, maintain, or lead the development of data-driven optimization models, experiments, forecasting algorithms, and capacity constraint models.
Lead teams in delivering models using MLOps best practices.
Communicate final recommendations and support decision-making.

Requirements

Work Format: Onsite in Cairo, Egypt. May require international travel.
Degree in an analytical field (e.g., Computer Science, Engineering, Mathematics, Statistics).
4-5 years of project experience as a Data Scientist.
Scripting proficiency with Python.
Experience with packages like NumPy, SciPy, Pandas, Scikit-learn, matplotlib, and tensorflow/pytorch.
Professional experience with Java, Scala, or Spark.
Experience working with and leading teams in a project environment, delivering projects using MLOps best practices.

Nice to have

1+ years of SQL experience.
Experience in distribution-based architectures such as Cloudera, AWS, Microsoft Azure Cloud, and GCP.
Knowledge of Data Governance.

Culture & Benefits

Committed to cultivating a diverse and inclusive workplace.
Equal-opportunity employer, welcoming applicants of all backgrounds, gender identities, and abilities.
Dedicated to providing reasonable accommodations during the selection process.
Opportunity to work for sectors where technology is an enabler.
Chance to create and enhance projects in areas like Blockchain, Artificial Intelligence, Data Science, Security, and IoT.
Work in a team that combines business knowledge, technological edge, and design experience.
Motivation for international projects and travel is a plus.
Room for energy and creativity, encouraging different ways of thinking.