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principal data scientist

Integrant, Inc.

<div>
 
 We Are Hiring!
 
 
 Integrant is looking for game changers to join our team as "Principal - Data Scientist" with below roles and responsibilities:
 
 
 <ul>
 <li>
 Use mathematics, statistics and computer science to extract knowledge and insights from structured, semi-structured and unstructured data in order to assist our clientele to make better data driven decisions.
 </li>
 <li>
 Conduct open research when necessary to develop new algorithms and methods to address specific needs a client might have to which no known algorithms or methods could suffice as a solution.
 </li>
 <li>
 Engage in activities of requirement elicitation with our clientele in regards to potential data science workloads.
 </li>
 <li>
 Mentor junior members on the team in data science.
 </li>
 <li>
 Deliver machine learning models to clients and contribute in knowledge transfer.
 </li>
 
 
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 All in all experience around 7 years.
 </li>
 <li>
 5+ years of experience with Data Science workloads.
 </li>
 <li>
 MSc in Computer Science or other equivalent quantitative field.
 </li>
 <li>
 Familiarity with classification, clustering, regression and association rule mining.
 </li>
 <li>
 Familiarity with one or more standard open source machine learning frameworks (Sklearn, Tensorflow, Keras, etc.).
 </li>
 <li>
 Familiarity with Azure Cognitive Services and Azure ML.
 </li>
 <li>
 Familiarity with AWS SageMaker.
 </li>
 <li>
 Experience with deploying models to production.
 </li>
 <li>
 Experience with monitoring models post production and detecting concept drift.
 </li>
 <li>
 Familiarity with Deep Learning.
 </li>
 <li>
 Extensive experience with Python.
 </li>
 <li>
 Familiarity with conducting open scientific research.
 </li>
 
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Familiarity with Re-enforcement Learning.
 </li>
 <li>
 Familiarity with Stochastic Local Search Methods.
 </li>
 <li>
 Familiarity with MLOps on Azure.
 </li>
 <li>
 Familiarity with MLOps on AWS.
 </li>
 <li>
 Familiarity with building data pipelines on Azure.
 </li>
 <li>
 Familiarity with building data pipelines on AWS.
 </li>
 <li>
 Familiarity with single and multi-objective optimization techniques
 </li>
 
 
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Salary paid in USD
 </li>
 <li>
 Six-month career advancing opportunities
 </li>
 <li>
 Employee parking space
 </li>
 <li>
 Supportive and friendly work environment
 </li>
 <li>
 Premium medical insurance [employee +family]
 </li>
 <li>
 English language development courses
 </li>
 <li>
 Interest-free loans paid over 2.5 years
 </li>
 <li>
 Technical development courses
 </li>
 <li>
 Planned overtime program (POP)
 </li>
 <li>
 Employment referral program
 </li>
 <li>
 Premium location in Maadi &amp; Nasr City
 </li>
 <li>
 Social insurance
 </li>
 <li>
 Opportunity to travel and work onsite with U.S. customers
 </li>
 <li>
 In-house Technical and English training programs
 </li>
 <li>
 Dedicated learning time (check out our 4Plus1 Program)
 </li>
 <li>
 Flexible work schedules
 </li>
 <li>
 Perks: events, sponsored lunch, game area, rooftop hangout + more!
 </li>
 </ul>
</div>

Principal Data Scientist

Finaira

<div>
 
 The Principal Data Scientist will provide strategic technical leadership and direction for data science initiatives across the organization, particularly within the financial sector. This role is responsible for driving innovation, setting technical standards, mentoring a team of data scientists, and collaborating with senior stakeholders to define and deliver high-impact AI and machine learning solutions that align with business strategy and drive significant value.
 
 
 
 
 
 
 
 
 
 The difference you will make
 
 
 <ul>
 <li>
 Define the technical data science strategy and roadmap.
 </li>
 <li>
 Lead the research and development of cutting-edge AI solutions.
 </li>
 <li>
 Evaluate and implement new data science technologies and platforms.
 </li>
 <li>
 Provide technical leadership and guidance to the data science team.
 </li>
 <li>
 Ensure the scalability and reliability of data science infrastructure.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Master&rsquo;s degree or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field with an exceptional academic record
 </li>
 </ul>
 
 
 Experience:
 
 
 <ul>
 <li>
 8+ years of progressive experience in data science, with more than 2 years spent leading and successfully delivering complex AI/ML projects with demonstrable business impact
 </li>
 <li>
 Extensive and deep experience in the financial services industry, with a comprehensive understanding of financial data, regulations, and business challenges
 </li>
 <li>
 Proven experience in leading and mentoring data science teams
 </li>
 <li>
 A strong portfolio showcasing the successful application of AI/ML to solve significant financial problems (e.g., transformative fraud prevention systems, advanced risk management platforms, high-impact algorithmic trading strategies, game-changing customer analytics solutions)
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Expert-level mastery in multiple programming languages relevant to data science (e.g., Python, R, Scala, Java) and their associated libraries and frameworks.
 </li>
 <li>
 Deep and comprehensive expertise across a wide range of machine learning frameworks, including advanced knowledge of deep learning architectures and specialized tools.
 </li>
 <li>
 Exceptional understanding of both foundational and cutting-edge statistical concepts and ML algorithms, including deep learning architecture and specialized tools.
 </li>
 <li>
 Deep understanding of Data and AI governance frameworks and requirements.
 </li>
 <li>
 Advanced mathematical skills, demonstrating a strong theoretical understanding and practical application to complex financial problems.
 </li>
 <li>
 Expert-level proficiency in SQL and a variety of database management systems (both relational and NoSQL), with the ability to design and optimize data storage and retrieval for large-scale AI/ML applications.
 </li>
 <li>
 Extensive experience with advanced data visualization tools and the ability to communicate complex insights to executive audiences through compelling visuals and narratives.
 </li>
 <li>
 Deep and practical experience with cloud computing platforms (AWS, Azure, GCP) and their comprehensive suite of AI/ML services, including architecting and deploying scalable solutions.
 </li>
 <li>
 Proven expertise in designing and working with large, complex data sets and big data technologies (Hadoop, Spark, etc.), including the ability to optimize data processing workflows for performance and scalability.
 </li>
 <li>
 Mastery of various distributed databases (Hive, Impala, Redis, etc.) and a proven ability to design and implement efficient data storage and access patterns for AI/ML workloads.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Strong ownership and accountability for assigned work.
 </li>
 <li>
 Clear and professional verbal and written communication.
 </li>
 <li>
 Effective time management and task prioritization.
 </li>
 <li>
 Analytical thinking and problem-solving skills.
 </li>
 <li>
 Ability to work independently, collaborate effectively and mentor junior team members.
 </li>
 <li>
 Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
 </li>
 <li>
 Adaptability and learning agility in a fast-paced environment.
 </li>
 <li>
 Strong attention to detail and a commitment to quality.
 </li>
 <li>
 Receptiveness to feedback and continuous improvement mindset.
 </li>
 </ul>
 
 
 
 
 .
 
</div>

The American University in Cairo

<div>
 
 
 Position:
 
 Data Scientist &ndash; Office of Strategy Management and Institutional Effectiveness
 
 
 
 
 
 
 Job Purpose:
 
 
 
 The Data Scientist is responsible for designing, developing, and implementing data-driven solutions that leverage business intelligence, advanced analytics, artificial intelligence (AI) and machine learning (ML). The primary purpose is to discover information hidden in vast amounts of University data to support research, deliver a better student experience, and enable smarter, data-informed decisions across the institution.
 
 
 
 
 
 
 Core Responsibilities:
 
 
 
 Predictive Modeling and ML:
 
 <ul>
 <li>
 Develop, implement, and optimize predictive models and machine learning algorithms, e.g. k-NN, SVM, to solve problems and generate strategic value for the University
 </li>
 </ul>
 
 Data Analysis and Insights:
 
 <ul>
 <li>
 Conduct advanced data mining and analyze data from various sources, including third-party extensions, to uncover actionable trends, patterns, and insights supporting business and research goals
 </li>
 </ul>
 
 Data Architecture and Engineering:
 
 <ul>
 <li>
 Design and maintain robust data architecture, such as data warehousing, modeling, and ETL/ELT, and enhance the scalability and performance of existing data systems
 </li>
 </ul>
 
 Data Quality and Governance:
 
 <ul>
 <li>
 Collaborate with data professionals to ensure data quality, integrity, and proper flow
 </li>
 <li>
 Establish and enforce data collection techniques and metadata standards
 </li>
 </ul>
 
 Security and Compliance:
 
 <ul>
 <li>
 Develop and implement data security and restoration policies, procedures, and controls
 </li>
 <li>
 Ensure all data practices comply with established governance and ethics principles
 </li>
 </ul>
 
 Technical and Toolkit Expertise:
 
 <ul>
 <li>
 Utilize advanced proficiency in query languages, i.e. SQL, scripting or programming, and common data science toolkits, e.g. R, Weka and MatLab, for analysis and feature selection
 </li>
 </ul>
 
 Communication and Visualization:
 
 <ul>
 <li>
 Clearly communicate complex data findings and recommendations to senior staff, faculty, and external partners using clear and concise visualizations, e.g. PowerBi and Tableau
 </li>
 </ul>
 
 General Administrative Support:
 
 <ul>
 <li>
 Perform other related duties as requested
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 
 
 Education and Experience:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science or a relevant field
 </li>
 <li>
 Minimum 10 years of professional experience, including at least two years in a related data science field
 </li>
 </ul>
 
 
 Skills:
 
 
 
 Key Skills:
 
 <ul>
 <li>
 Data-oriented personality with a strong analytical mindset and problem-solving skills
 </li>
 <li>
 Excellent communication and collaboration skills
 </li>
 </ul>
 
 Technical Expertise:
 
 <ul>
 <li>
 Excellent understanding of Machine Learning techniques and algorithms
 </li>
 <li>
 Proficiency in SQL, scripting, and data visualization tools such as PowerBi and Tableau)
 </li>
 <li>
 Experience with big data platforms such as Hadoop and Spark is a plus
 </li>
 </ul>
 
 
 
 
 
 This position is open till April 14, 2026.
 
 
 
 
 Placement is based on the candidate&rsquo;s experience and skills. Only candidates who make it to the short list will be contacted.
 
 
 
 
 
 
 "The American University in Cairo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals with disabilities are encouraged to apply."
 
 
 
 
 
 
 &ldquo;We thank all individuals who have expressed interest in working at The American University in Cairo.&rdquo;
 
 
</div>

Data Scientist – Office of Strategy Management and Institutional Effectiveness

BCG X

<div>
 Who We Are
 
 
 Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
 
 
 To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures&mdash;and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
 
 
 
 We Are BCG X
 
 
 
 We&rsquo;re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world&rsquo;s most complex problems. Leveraging BCG&rsquo;s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.
 
 
 What You'll Do
 
 
 Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions.
 
 
 Our Forward Deployed AI Scientist and Senior Forward Deployed AI Scientist are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions.
 
 
 Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative.
 
 
 We Are Looking For Dedicated Individuals With a Passion For Data Science, Statistics, Operations Research And Redefining Organizations Into AI Led Innovative Companies. Successful Candidates Possess The Following
 
 
 <ul>
 <li>
 Comfortable in a client-facing role with the ambition to lead teams
 </li>
 <li>
 Likes to distill complex results or processes into simple, clear visualizations
 </li>
 <li>
 Explain sophisticated data science concepts in an understandable manner
 </li>
 <li>
 Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience)
 </li>
 <li>
 Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data
 </li>
 <li>
 Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients
 </li>
 <li>
 Have strong project management skills
 
 
 </li>
 </ul>
 What You'll Bring
 
 
 
 Requirements
 
 
 
 4+ years of relevant experience.
 
 
 Master&rsquo;s or PhD degree program in Computer Research Science, Data Science,
 
 Statistics
 
 , Operations Research, or related field
 
 
 
 Technologies
 
 
 
 Programming Languages: Python
 
 
 #BCGXjob
 
 
 Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
 
 
 BCG is an E - Verify Employer. Click here for more information on E-Verify.
</div>

Forward Deployed AI Scientist, Egypt - BCG X

<div>
 
 We Are Hiring!
 
 
 Integrant is looking for game changers to join our team as "Senior Data Scientist" with below roles and responsibilities:
 
 
 
 
 <ul>
 <li>
 Use mathematics, statistics and computer science to extract knowledge and insights from structured, semi-structured and unstructured data in order to assist our clientele to make better data driven decisions.
 </li>
 <li>
 Conduct open research when necessary to develop new algorithms and methods to address specific needs a client might have to which no known algorithms or methods could suffice as a solution.
 </li>
 <li>
 Engage in activities of requirement elicitation with our clientele in regards to potential data science workloads.
 </li>
 <li>
 Mentor junior members on the team in data science.
 </li>
 <li>
 Deliver machine learning models to clients and contribute in knowledge transfer.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 4+ years of experience with Data Science workloads.
 </li>
 <li>
 MSc in Computer Science or other equivalent quantitative field.
 </li>
 <li>
 Familiarity with classification, clustering, regression and association rule mining.
 </li>
 <li>
 Familiarity with one or more standard open source machine learning frameworks (Sklearn, Tensorflow, Keras, etc.).
 </li>
 <li>
 Familiarity with Azure Cognitive Services and Azure ML.
 </li>
 <li>
 Familiarity with AWS SageMaker.
 </li>
 <li>
 Experience with deploying models to production.
 </li>
 <li>
 Experience with monitoring models post production and detecting concept drift.
 </li>
 <li>
 Familiarity with Deep Learning.
 </li>
 <li>
 Extensive experience with Python.
 </li>
 <li>
 Familiarity with conducting open scientific research.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Familiarity with Re-enforcement Learning.
 </li>
 <li>
 Familiarity with Stochastic Local Search Methods.
 </li>
 <li>
 Familiarity with MLOps on Azure.
 </li>
 <li>
 Familiarity with MLOps on AWS.
 </li>
 <li>
 Familiarity with building data pipelines on Azure.
 </li>
 <li>
 Familiarity with building data pipelines on AWS.
 </li>
 <li>
 Familiarity with single and multi-objective optimization techniques
 </li>
 </ul>
 
 
 
 
 
 Benefits
 
 
 <ul>
 <li>
 Salary paid in USD
 </li>
 <li>
 Six-month career advancing opportunities
 </li>
 <li>
 Employee parking space
 </li>
 <li>
 Supportive and friendly work environment
 </li>
 <li>
 Premium medical insurance [employee +family]
 </li>
 <li>
 English language development courses
 </li>
 <li>
 Interest-free loans paid over 2.5 years
 </li>
 <li>
 Technical development courses
 </li>
 <li>
 Planned overtime program (POP)
 </li>
 <li>
 Employment referral program
 </li>
 <li>
 Premium location in Maadi &amp; Nasr City
 </li>
 <li>
 Social insurance
 </li>
 <li>
 Opportunity to travel and work onsite with U.S. customers
 </li>
 <li>
 In-house Technical and English training programs
 </li>
 <li>
 Dedicated learning time (check out our 4Plus1 Program)
 </li>
 <li>
 Flexible work schedules
 </li>
 <li>
 Perks: events, sponsored lunch, game area, rooftop hangout + more!
 </li>
 </ul>
</div>

Senior Data Scientist

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 4758
 
 
 Join the energy revolution with #teamsonnen!
 
 
 At sonnen, we&rsquo;re driven by a clear goal: creating a future powered by clean, affordable energy for everyone. That&rsquo;s why we make our customers independent &ndash; not only from fossil fuels, but also from rising electricity costs.
 
 
 The key to this independence is our intelligent, all-in-one energy system. It combines solar panels, battery storage, energy tariffs, and wallboxes &ndash; all developed and manufactured in Germany.
 
 
 As the first and only provider in Germany, we also connect thousands of home batteries into one shared network: the sonnenVPP, our industry-leading virtual power plant.
 
 
 In short: every day, we&rsquo;re working to shape the energy future. And we&rsquo;d be thrilled to have you join us!
 
 
 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:
 
 Computer Science, Data Warehouse, Business Intelligence, Quality Assurance, Project Manager, Technology
</div>

Data Engineer (m/f/d)

RATP Dev Mobility Cairo

<div>
 
 Job Purpose
 
 
 
 The Data Scientist is responsible for leveraging data to generate insights, support decision-making, and enhance operational efficiency. The role focuses on analyzing complex datasets from various business systems (such as timetables, schedules, ridership data, and maintenance systems) and translating them into actionable intelligence. This includes developing data-driven models, creating dynamic visualizations, and collaborating with stakeholders to improve data adoption and utilization across the organization.
 
 
 
 Responsibilities/Duties
 
 
 
 
 Profil de candidat recherch&eacute; :
 
 
 
 
 Data Science &amp; Analytics
 
 
 
 <ul>
 <li>
 Perform data transformations, cleaning, and preprocessing to ensure quality and reliability.
 </li>
 <li>
 Design, test, and implement machine learning and AI models to support predictive and operational needs.
 </li>
 <li>
 Maintain and update a library of analytical tools, scripts, and programs.
 
 
 </li>
 </ul>
 
 Business Intelligence &amp; Visualization
 
 
 
 <ul>
 <li>
 Design, develop, and maintain interactive dashboards and reporting solutions using Power BI, Qlik Sense, and other tools.
 </li>
 <li>
 Build dynamic visualizations that support decision-making across operations and maintenance functions.
 </li>
 <li>
 Document processes and maintain user guides to ensure smooth adoption of reporting solutions.
 
 
 </li>
 </ul>
 
 Collaboration &amp; Communication
 
 
 
 <ul>
 <li>
 Partner with internal departments to define data needs, establish data streams, and enhance KPI tracking.
 </li>
 <li>
 Liaise with software vendors and internal teams to ensure desired system features and performance are met.
 </li>
 <li>
 Clearly communicate findings and explain complex concepts to both technical and non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Continuous Improvement &amp; Knowledge Sharing
 
 
 
 <ul>
 <li>
 Identify opportunities to restructure source data and influence the adoption of cleaner data structures.
 </li>
 <li>
 Provide training sessions, short briefs, and knowledge-sharing activities to upskill colleagues.
 </li>
 <li>
 Promote the use of company data tools, AI models, and portals to increase adoption and business value.
 
 
 </li>
 </ul>
 
 Safety Responsibilities
 
 
 
 <ul>
 <li>
 Promote a positive safety culture within the workplace and attend any safety-related meetings or briefings as required within the job role.
 </li>
 <li>
 Comply with the requirements of RDMC RQHSE Policy and Safety Management System.
 </li>
 <li>
 Be mindful that Safety, Security, and Environmental protection are everyone&rsquo;s responsibility.
 </li>
 <li>
 All staff members are accountable for reporting and intervening in any Safety, Security, or Environmental violations.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 ESSENTIAL QUALIFICATIONS, KNOWLEDGE &amp; EXPERIENCE
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Computer Engineering, Mathematics, or a related STEM field.
 </li>
 <li>
 Additional certifications in Data Science, Machine Learning, AI, or data visualization technologies are an advantage.
 
 
 </li>
 </ul>
 
 Knowledge
 
 
 
 <ul>
 <li>
 Proficiency in English; French is a plus.
 </li>
 <li>
 Strong understanding of relational databases (SQL Server, MySQL, Oracle, etc.) with the ability to write queries.
 </li>
 <li>
 Knowledge of data visualization and analytics concepts.
 </li>
 <li>
 Ability to develop practical solutions using data.
 </li>
 <li>
 Proficiency in Microsoft Office applications.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 3&ndash;5 years of relevant experience in data science, software development, or data analysis.
 </li>
 <li>
 Hands-on experience in programming (Python, C++ or similar).
 </li>
 <li>
 Practical experience with data visualization tools (Power BI, Qlik, Excel).
 </li>
 <li>
 Proven track record of delivering data science projects as a hands-on implementer.
 
 
 </li>
 </ul>
 
 Desired Behaviors &amp; Experiences
 
 
 
 <ul>
 <li>
 Demonstrates curiosity and persistence in identifying insights and creating business value.
 </li>
 <li>
 Able to work independently and collaborate effectively within a team environment.
 </li>
 <li>
 Communicates clearly and confidently, both verbally and in writing, to different audiences.
 </li>
 <li>
 Show adaptability and flexibility when working with diverse stakeholders.
 </li>
 <li>
 Strong problem-solving skills with the ability to manage competing priorities.
 </li>
 <li>
 Takes initiative, meets deadlines, and shows accountability for results.
 </li>
 </ul>
</div>

Data Scientist

Explore 486+ Principal data scientist in Cairo Egypt this April. Find roles across top companies and apply now to boost your career.

486 principal data scientist jobs In Cairo Egypt

Principal Data Scientist

Principal Data Scientist

Data Scientist – Office of Strategy Management and Institutional Effectiveness

Forward Deployed AI Scientist, Egypt - BCG X

Senior Data Scientist

Data Engineer (m/f/d)

Data Scientist