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marketing data engineer Jobs in Cairo 12 Months Contract Jobs In Cairo Jobs In Alexandria Egypt

marketing data engineer

senior data science engineer

Envision Employment Solutions

<div>
 
 
 Envision Employment Solutions
 
 is currently hiring a
 
 Senior Data Science Engineer
 
 on behalf of one of our partners, a leader in the retail Motor Vehicles field.
 
 
 
 
 
 
 About the Role:
 
 
 
 We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions in solving pricing problems. Your primary focus will be on applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products.
 
 
 You will be someone who enjoys working in a fast-paced environment, with a hands-on attitude and a data-driven mindset, sharing fresh ideas for how to improve profitability.
 
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Use data to create new, scalable solutions for business pricing problems.
 </li>
 <li>
 Design experiments, measure results and provide a point of view in decision-making.
 </li>
 <li>
 Develop and implement advanced analytics and machine learning models to solve complex business problems.
 </li>
 <li>
 Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions.
 </li>
 <li>
 Ensure the quality and integrity of data used for analysis and modeling.
 </li>
 <li>
 Stay up-to-date with the latest trends and advancements in data science and machine learning.
 </li>
 <li>
 Oversee the deployment of machine learning models into production environments.
 </li>
 <li>
 Maintain documentation of data science processes and methodologies.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 4 to 5 years in a data science role
 </li>
 <li>
 Strong drive to learn, experiment, and drive outcomes.
 </li>
 <li>
 Strong background in statistical analysis and machine learning.
 </li>
 <li>
 Proficiency in programming languages such as Python or R.
 </li>
 <li>
 Experience with data visualization tools (e.g., Tableau, Power BI).
 </li>
 <li>
 Experience with building custom deep learning models (using pytorch).
 </li>
 <li>
 Experience with optimization, routing and task assignment problems.
 </li>
 <li>
 Experience with building web API interfaces to serve Data Science model through Flask or FastAPI is a
 
 PLUS
 
 .
 </li>
 <li>
 Experience with Google Big Query, and Vertex API is a plus.
 </li>
 <li>
 Advanced SQL Experience, ability to query complex data correctly and efficiently.
 </li>
 <li>
 Excellent knowledge of data wrangling and preprocessing techniques.
 </li>
 <li>
 Strong problem-solving skills and ability to think critically.
 </li>
 <li>
 Excellent communication skills, with the ability to present complex information clearly and concisely.
 </li>
 <li>
 A proactive and innovative mindset, with a strong attention to detail.
 </li>
 <li>
 Having an automotive background is a
 
 PLUS
 
 .
 </li>
 </ul>
</div>

Senior Data Science Engineer

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 4758
 
 
 At the earliest date possible we are looking for support for our #teamsonnen
 
 
 Clean and affordable energy for all is one of the greatest challenges of our time. Sonnen has been committed to this mission since 2010 and is now represented in Europe, the USA and Australia with over 1,000 team members globally. In Germany, our offices are located in the beautiful Wildpoldsried (Allg&auml;u) and the vibrating heart of Berlin Kreuzberg.
 
 
 At sonnen, we are building the energy system of the future. To this end, we are developing new technologies and business models that have not existed before. Whether intelligent power storage, virtual power plants or digital services - we set the trends of a new energy world. That means, among other things, the inexpensive production and storage of renewable energy and the intelligent networking of producers and consumers. sonnen thereby gives people around the world the opportunity to become independent of fossil fuels and conventional energy supplier.
 
 
 We are growing steadily and are looking for people who want to join us in our vision of clean and affordable energy for all while making a positive impact on climate change.
 
 
 We are seeking a Data Engineer (m/f/d) to join our team and play a pivotal role in enabling our Business Intelligence and Data Science teams. As a Data Engineer, you will be responsible for maintaining and enhancing our AWS-based analytics platform, provisioning data from various sources, and enabling the development and stable operation of analytical solutions. We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 
 
 
 What you will do to help drive the energy transition:
 
 
 
 <ul>
 <li>
 (Senior) Define and design the architecture of our analytics platform, ensuring scalability, performance, and reliability.
 </li>
 <li>
 You design and build scalable data pipelines, ETL processes, and data lake and data warehousing solutions to support our analytics solutions.
 </li>
 <li>
 You develop and maintain data integration processes with a variety of structured and unstructured data sources.
 </li>
 <li>
 You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
 </li>
 <li>
 You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
 </li>
 <li>
 You define coding principles and support data scientists and analysts in implementing algorithms into operational solutions.
 </li>
 <li>
 Adhere to stringent quality assurance and documentation standards, utilizing version control and code repositories such as Gitlab.
 </li>
 <li>
 You stay up to date with emerging trends and technologies in data engineering and assess their potential applications to our business needs.
 </li>
 <li>
 (Senior) Share your knowledge by coaching/pair coding with more junior engineers.
 
 
 </li>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science or a related technical field.
 </li>
 <li>
 +3 years of relevant employment experience in roles such as Data Scientist, Data Engineer, or Data Architect.
 </li>
 <li>
 +3 years of experience with ETL tools, Data Modeling, and Data Architecture.
 </li>
 <li>
 Experience with Big Data technologies such as Hadoop, Hive, and Spark.
 </li>
 <li>
 Ability to translate organizational goals into technical solutions.
 </li>
 <li>
 Experience with Infrastructure as Code (experience in Terraform and Ansible are a plus).
 </li>
 <li>
 Proficiency in Python, SQL, and NoSQL.
 </li>
 <li>
 Excellent communication and project management skills.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Data Warehouse, Business Intelligence, Computer Science, Quality Assurance, Project Manager, Technology
</div>

Data Engineer (m/f/d)

PwC Middle East

<div>
 
 Line of Service
 
 
 
 Advisory
 
 
 
 Industry/Sector
 
 
 
 Technology
 
 
 
 Specialism
 
 
 
 Advisory - Other
 
 
 
 Management Level
 
 
 
 Senior Associate
 
 
 
 Job Description &amp; Summary
 
 
 
 At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
 
 
 
 Responsibilities
 
 
 
 In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
 
 We are seeking a highly skilled and analytical
 
 Business Intelligence (BI) Engineer
 
 with strong expertise in
 
 Power BI
 
 to join our growing data team. The ideal candidate will be responsible for designing, developing, and maintaining scalable BI solutions that transform raw data into actionable insights to support strategic decision-making across the organization.
 
 
 
 Key Responsibilities:
 
 
 
 
 <ul>
 <li>
 Design, develop, and deploy interactive dashboards and reports using Power BI.
 </li>
 <li>
 Translate business needs into technical specifications and maintain robust BI solutions.
 </li>
 <li>
 Integrate data from multiple sources (e.g., SQL databases, APIs, Excel, cloud platforms).
 </li>
 <li>
 Develop and optimize DAX queries and data models for performance and usability.
 </li>
 <li>
 Collaborate with business stakeholders to understand reporting requirements.
 </li>
 <li>
 Implement and maintain data security and governance standards within Power BI.
 </li>
 <li>
 Monitor BI tools performance and troubleshoot technical issues as needed.
 </li>
 <li>
 Work closely with data engineers, analysts, and product teams to ensure data quality and integrity.
 </li>
 <li>
 Provide training and documentation for end-users and stakeholders on Power BI usage.
 
 
 </li>
 </ul>
 
 Required
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, Statistics, or a related field.
 </li>
 <li>
 1-3 years of experience in a BI Engineer, Data Analyst, or similar role.
 </li>
 <li>
 Strong proficiency in Power BI, including DAX, Power Query (M), and data modeling.
 </li>
 <li>
 Hands-on experience with SQL and relational databases, and Python or R for data analysis.
 </li>
 <li>
 Familiarity with ETL processes and data warehousing concepts.
 </li>
 <li>
 Excellent problem-solving skills and attention to detail.
 </li>
 <li>
 Strong communication skills to present insights to both technical and non-technical audiences.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience with Azure Data Services (e.g., Azure SQL, Data Factory).
 </li>
 <li>
 Exposure to other BI tools (e.g., Tableau, Looker) is a plus.
 </li>
 <li>
 Microsoft certifications (e.g., PL-300: Power BI Data Analyst) are a bonus.
 
 
 </li>
 </ul>
 
 Education
 
 
 (if blank, degree and/or field of study not specified)
 
 
 
 Degrees/Field of Study required:Degrees/Field of Study preferred:
 
 
 
 Certifications
 
 
 (if blank, certifications not specified)
 
 
 
 
 Required Skills
 
 
 
 
 Optional Skills
 
 
 
 Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more}
 
 
 
 Desired Languages
 
 
 (If blank, desired languages not specified)
 
 
 
 
 Travel Requirements
 
 
 
 Not Specified
 
 
 
 Available for Work Visa Sponsorship?
 
 
 
 Yes
 
 
 
 Government Clearance Required?
 
 
 
 Yes
 
 
 
 Job Posting End Date
 
</div>

ETIC, BI Engineer Senior Associate

Bankawy - بنكاوى

<div>
 
 
 For A Leading Fintech Company (Owned by One of Egypt&rsquo;s Largest Local Banks)
 
 
 
 
 ***Kindly apply only if you are willing to attend on-site interview in few days***
 
 
 
 
 
 
 
 Senior Software engineer/ Backend-DotNet
 
 
 
 
 
 
 
 Position Summary:
 
 
 
 
 Job purpose:
 
 &nbsp;&nbsp;
 
 
 Execute the software lifecycle of products meeting the security guidelines and quality standards.
 
 
 
 
 
 
 Key accountabilities :
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Understand the business requirements provided by internal stakeholders (PO, functional consultant, &hellip; etc) and interpret them into deliverables (code, installation of a system, deployment. &hellip; etc).
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Develop software systems as per the required technology stack following the code standards, security guidelines and quality standards.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Execute the software lifecycle following the agreed-on methodology.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Create and execute unit test cases.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Document the code
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Work under the guidance of senior members and apply the code review comments as needed.
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Fix bugs detected by the testing team
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Report on work progress and raise any challenges that might affect the workflow and progress.
 
 
 
 
 
 
 
 
 Required Qualifications
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Bachelor&rsquo;s degree in computer science
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Minimum 3 year of experience as a software engineer
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Technology stack certified is preferred
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Basic knowledge in source code control and issue/task tracking tool
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Financial services background is preferred
 
</div>

Senior Software engineer/ Backend-DotNet

Monks

<div>
 Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers).
 
 
 
 About The Role
 
 
 
 As a Data Scientist at Monks, you will work on designing, developing, and deploying Machine Learning (ML) and Generative AI (GenAI) models aimed at optimising marketing effectiveness. You will collaborate closely with senior data scientists to build scalable solutions, leveraging public cloud platforms such as GCP, AWS, or Azure.
 
 
 You should have a strong foundation in data literacy and the ability to interpret technical concepts into practical business insights. Ideally, you have some experience in marketing or product data science, coupled with a strong foundation of machine learning, statistics, and cloud technologies. While the role mainly focuses on data science, it also offers opportunities to tap into data engineering projects.
 
 
 This role spans across the EMEA and MENA regions and involves close collaboration with our Analytics, Strategy, and Solutions Engineering teams. We offer a dynamic and challenging work environment at the forefront of AI-driven innovation in marketing. If you're passionate about pushing the boundaries of what&rsquo;s possible, we encourage you to apply!
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Assist in designing, developing, and deploying Machine Learning (ML) and Generative AI (GenAI) models on cloud platforms such as AWS and GCP.
 </li>
 <li>
 Support the development and implementation of predictive models, such as propensity and churn models, to drive predictive insights and enhance decision-making.
 </li>
 <li>
 Contribute to the design of GenAI architectures using APIs like ChatGPT and Gemini, integrated with LangChain libraries.
 </li>
 <li>
 Write SQL queries to extract insights from large datasets
 </li>
 <li>
 Conduct statistical analysis, including A/B testing.
 </li>
 <li>
 Support in API authentication and automating ETL processes for data integration and transformation in cloud environments.
 </li>
 <li>
 Contribute in implementing and managing data models using tools like dbt and Dataform to convert raw data into structured formats for data warehousing and machine learning applications.
 </li>
 <li>
 Learn to navigate the lifecycle of a data science project, understanding trade-offs between model accuracy, deployment cost, and data availability.
 </li>
 <li>
 Follow and contribute to the documentation and best practices for building and deploying machine learning models to ensure consistency and scalability.
 </li>
 <li>
 Communicate basic technical concepts and results to both technical and non-technical stakeholders, including clients.
 
 
 
 </li>
 </ul>
 
 About You
 
 
 
 The essentials:
 
 
 
 <ul>
 <li>
 Bachelor or Masters in a quantitative subject such as Data Science, Computer Science, Mathematics, Statistics, or a related field.
 </li>
 <li>
 1+ years of working experience in data science or data engineering or a related field.
 </li>
 <li>
 Familiarity in designing and deploying cloud solutions on platforms such as GCP or AWS.
 </li>
 <li>
 Associate Cloud Certification such as GCP Cloud Architect, Data Engineer, or any equivalent.
 </li>
 <li>
 Strong proficiency in Python and SQL.
 </li>
 <li>
 Solid understanding of statistics, machine learning algorithms and Gen-AI applications, with a strong interest in learning more.
 </li>
 <li>
 Good understanding of APIs, including authentication methods (e.g., API keys, OAuth), with a curiosity to explore and troubleshoot.
 </li>
 <li>
 Awareness of data modelling tools such as dbt or Dataform.
 </li>
 <li>
 Good understanding of data warehousing and ETL concepts, with exposure to tools like Amazon Redshift or Google BigQuery being beneficial.
 </li>
 <li>
 Fluent English communication and written skills.
 </li>
 <li>
 Strong analytical and problem-solving skills with the ability to work independently and in a team environment.
 
 
 
 </li>
 </ul>
 
 Not a Must, But a Plus
 
 
 
 
 <ul>
 <li>
 Bachelor or Masters Degree in Data Science.
 </li>
 <li>
 Previous agency or consultancy experience is a plus.
 </li>
 <li>
 Professional Cloud Certification.
 </li>
 <li>
 Familiarity with marketing analytics tools and data (e.g. Google Analytics, Adobe Analytics).
 </li>
 <li>
 Awareness of MLOps, CI/CD and version control tools.
 </li>
 <li>
 Familiarity with social data (e.g. Instagram, Facebook, Tiktok).
 </li>
 <li>
 Knowledge of digital advertising industry practices and client verticals (retail, finance, etc.) is a plus.
 </li>
 <li>
 Experience with Looker Studio or any visualisation tool.
 
 
 
 </li>
 </ul>
 At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.
 
 
 
 About Monks
 
 
 
 Monks is the global, purely digital, unitary operating brand of S4Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global marketing and technology services to accelerate business possibilities and redefine how brands and businesses interact with the world. Its integration of systems and workflows delivers unfettered content production, scaled experiences, enterprise-grade technology and data science fueled by AI&mdash;managed by the industry&rsquo;s best and most diverse digital talent&mdash;to help the world&rsquo;s trailblazing companies outmaneuver and outpace their competition.
 
 
 Monks was named a Contender in The Forrester Wave&trade;: Global Marketing Services. It has remained a constant presence on Adweek&rsquo;s Fastest Growing lists (2019-23), ranks among Cannes Lions' Top 10 Creative Companies (2022-23) and is the only partner to have been placed in AdExchanger&rsquo;s Programmatic Power Players list every year (2020-24). In addition to being named Adweek&rsquo;s first AI Agency of the Year (2023), Monks has been recognized by Business Intelligence in its 2024 Excellence in Artificial Intelligence Awards program in three categories: the Individual category, Organizational Winner in AI Strategic Planning and AI Product for its service Monks.Flow. Monks has also garnered the title of Webby Production Company of the Year (2021-24), won a record number of FWAs and has earned a spot on Newsweek&rsquo;s Top 100 Global Most Loved Workplaces 2023.
 
 
 We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents&mdash;and resonates with&mdash;the world around us.
 
 
</div>

Data Scientist

Valleysoft | Center of Excellence

<div>
 Valleysoft | Center of Excellence is a regional IT services provider based in Egypt, serving clients globally since 2006. The company collaborates with global partners like Oracle to address diverse business and technical challenges, from enterprise application development to process management. Valleysoft's vendor-neutral and process-oriented approach, coupled with operational maturity, ensures high-quality and cost-effective services for clients.
 
 
 
 Job Purpose
 
 
 
 The Database Senior Engineer supports advanced database architecture development and optimization while mentoring junior team members. This role involves developing database schemas, optimizing queries, troubleshooting issues, and providing expert support to ensure efficient and reliable database operations.
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Database Development: Develop and implement efficient database schemas and architectures to meet business and technical requirements
 </li>
 <li>
 Query Optimization &amp; Troubleshooting: Optimize queries for better performance and troubleshoot database issues to ensure smooth operations
 </li>
 <li>
 Advanced Support: Provide advanced database support to internal teams and handle complex database problems that arise
 </li>
 <li>
 Mentorship: Mentor and provide guidance to junior database engineers, helping them grow in their roles and adhering to best practices
 </li>
 <li>
 Collaboration: Work with cross-functional teams to ensure database solutions are integrated effectively into business applications
 
 
 </li>
 </ul>
 
 Policies, Processes &amp; Procedures
 
 
 
 <ul>
 <li>
 Follow and implement all relevant department policies, processes, standard operating procedures and instructions so that work is carried out in a controlled and consistent manner
 
 
 </li>
 </ul>
 
 Day-to-day Operations
 
 
 
 <ul>
 <li>
 Follow the day-to-day operations related to own jobs in the department and preparing requested reports to ensure continuity of work. Ensure being innovative, initiative and recommend new approaches related to own jobs
 
 
 </li>
 </ul>
 
 Compliance
 
 
 
 <ul>
 <li>
 Comply with all relevant CBE regulations, banking laws, AML regulations and internal AAIB policies and code of conduct in order to maintain AAIB's sound legal position and mitigate any potential risks
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Education: Bachelor's degree in Computer Science or a related field
 </li>
 <li>
 Experience: For Senior Engineer 5 to 7 years of experience in database engineering with a focus on optimization, schema design, and troubleshooting
 </li>
 <li>
 Experience: For Engineer 3 to 5 years of experience in database engineering with a focus on optimization, schema design, and troubleshooting
 </li>
 <li>
 Certifications: (Relevant certifications in database technologies or management are a plus)
 </li>
 <li>
 Technical Skills: Expertise in database schema development, query optimization, and advanced troubleshooting techniques. Strong understanding of database performance tuning
 </li>
 <li>
 Soft Skills: Strong mentoring abilities, problem-solving skills, and the ability to collaborate effectively with internal teams
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Private Health Insurance
 </li>
 <li>
 Training &amp; Development
 </li>
 </ul>
</div>

Database Senior Engineer

Systems Limited - Egypt

<div>
 
 
 Job Description:
 
 
 
 We are looking for a
 
 senior data scientist
 
 with strong leadership and hands-on technical skills to join our team in the
 
 banking sector
 
 . The ideal candidate will be responsible for developing and deploying machine learning solutions that address real business challenges, leading analytical initiatives from concept to production, and mentoring junior team members.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Lead end-to-end
 
 data science projects
 
 &mdash;from business understanding and data preparation to model development, validation, and deployment.
 </li>
 <li>
 Design and implement
 
 machine learning and deep learning models
 
 for various banking use cases (credit scoring, fraud detection, customer segmentation, etc.).
 </li>
 <li>
 Deploy and maintain models in
 
 production environments,
 
 ensuring scalability, reliability, and performance.
 </li>
 <li>
 Build automated
 
 model pipelines
 
 , monitor performance, and manage
 
 model drift detection
 
 and retraining.
 </li>
 <li>
 Apply
 
 Explainable AI (XAI)
 
 methods to interpret model decisions and ensure regulatory transparency.
 </li>
 <li>
 Collaborate with cross-functional teams&mdash;data engineering, business analytics, and IT &mdash; to translate business needs into data-driven solutions.
 </li>
 <li>
 Ensure best practices in
 
 MLOps
 
 , version control, and CI/CD for machine learning systems.
 </li>
 </ul>
 
 
 Requirements:
 
 
 <ul>
 <li>
 
 Bachelor&rsquo;s degree
 
 in computer science, information technology, computer engineering, or a related field.
 </li>
 <li>
 
 4+ years of experience
 
 in data science or applied machine learning, preferably in the
 
 banking or financial services domain
 
 .
 </li>
 <li>
 Proficiency in
 
 Python (NumPy, Pandas)
 
 or
 
 R
 
 , and strong
 
 SQL
 
 skills.
 </li>
 <li>
 Expertise with ML/DL frameworks:
 
 Scikit-Learn, TensorFlow, PyTorch, Keras, and Hugging Face
 
 .
 </li>
 <li>
 Hands-on experience with
 
 model deployment
 
 in production environments (not only experimentation).
 </li>
 <li>
 Skilled in
 
 MLflow, Kubeflow, Docker, Kubernetes
 
 , and implementing
 
 CI/CD
 
 pipelines.
 </li>
 <li>
 Experience implementing
 
 performance tracking, monitoring, and drift detection
 
 for models.
 </li>
 <li>
 Strong understanding of
 
 statistical modeling, data visualization, and feature engineering
 
 .
 </li>
 <li>
 Excellent communication skills in
 
 both Arabic and English
 
 .
 </li>
 </ul>
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 
 Master&rsquo;s Degree or Diploma
 
 in Data Science, Statistics, Applied Mathematics, or a related field.
 </li>
 <li>
 Experience working on
 
 AI governance, compliance, and explainability
 
 within banking environments.
 </li>
 </ul>
 
 
</div>

Senior Data Scientist

Explore 714+ Senior data science engineer in Cairo 12 Months Contract Jobs In Cairo Jobs In Alexandria Egypt this November. Find roles across top companies and apply now to boost your career.