data engineer

senior data scientist Jobs in Cairo Egypt

senior data scientist

data scientist

data scientist / senior machine learning engineer Jobs in Cairo Egypt

data scientist / senior machine learning engineer

junior data scientist Jobs in Cairo Egypt

junior data scientist

data scientist senior machine learning engineer

Arrow Electronics

<div>
 
 Position
 
 
 
 Data Scientist / Senior Machine Learning Engineer
 
 
 
 Job Description
 
 
 
 
 Position Overview:
 
 
 
 As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
 </li>
 <li>
 Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
 </li>
 <li>
 Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
 </li>
 <li>
 Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
 </li>
 <li>
 Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
 </li>
 <li>
 Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
 </li>
 <li>
 Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
 </li>
 <li>
 Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
 </li>
 <li>
 Strong knowledge of machine learning frameworks and libraries.
 </li>
 <li>
 Expertise in data preprocessing, feature engineering, and model selection.
 </li>
 <li>
 Familiarity with large language models and AI agent design.
 </li>
 <li>
 Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
 </li>
 <li>
 Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience with vectorized databases and unstructured search engines is a plus.
 </li>
 <li>
 A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
 </li>
 <li>
 Publications or contributions to open-source projects are a plus.
 
 
 </li>
 </ul>
 If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
 
 
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Data Scientist / Senior Machine Learning Engineer

Arrow Components

SysTechCorp Inc

<div>
 
 
 What You&rsquo;ll Do
 
 
 
 &bull; What the role is about: As a Principal/Staff Data Scientist , you will serve
 
 
 as a senior individual contributor responsible for defining analytical approaches,
 
 
 scoping complex data science projects, and delivering high-impact solutions across
 
 
 multiple industries. You will tackle highly complex and ambiguous problems,
 
 
 architect end-to-end data science workflows, and provide deep technical guidance
 
 
 to cross-functional teams&mdash;without direct people management responsibilities.
 
 
 &bull; What impact this role has: Your expertise will shape the technical direction of data
 
 
 science initiatives, influence solution design across teams, and help internal and
 
 
 external stakeholders make well-informed decisions. By leveraging advanced
 
 
 modeling, statistical rigor, and deep domain insight, you will ensure th
 
 
 delivers scalable, high-quality analytical solutions that drive measurable business
 
 
 value for our clients.
 
 
 &bull; What success might look like: Success in this role means independently leading
 
 
 the most challenging parts of data science engagements, producing reliable and
 
 
 scalable solutions, and serving as a trusted technical advisor to product managers,
 
 
 engineers, and business stakeholders. You will be recognized for your ability to
 
 
 translate complex business problems into well-scoped analytical strategies, and for
 
 
 consistently raising the technical bar across the team.
 
 
 
 Who You&rsquo;ll Work With
 
 
 
 &bull; An outline of the team: You will be part of a collaborative and dynamic data science
 
 
 team that works closely with data engineers, project managers, solution architects,
 
 
 and business stakeholders. You will contribute as a high-level technical expert,
 
 
 helping teams navigate complexity and ensuring that analytical solutions are sound,
 
 
 scalable, and aligned with business needs.
 
 
 &bull; The role and the team play : The data science team plays a
 
 
 crucial role in transforming data into strategic assets. As a Principal/Staff Data
 
 
 Scientist, you will influence the technical direction of projects, contribute reusable
 
 
 methodologies, and help shape best practices for developing advanced analytical
 
 
 solutions across multiple engagements.
 
 
 &bull; Who the position reports to: This position reports to the Data Science Team
 
 
 Manager.
 
 
 
 What Makes You a Qualified Candidate / Non-negotiable qualification:
 
 
 
 
 
 
 &bull; Minimum of 8 years of experience in data science, machine learning, or applied
 
 
 analytics.
 
 
 &bull; Expertise in programming languages such as Python and SQL.
 
 
 &bull; Strong understanding of advanced statistical methods, machine learning, deep
 
 
 learning, and GenAI techniques.
 
 
 &bull; Proven ability to scope, architect, and technically lead complex data science
 
 
 projects without direct management responsibilities.
 
 
 &bull; Excellent communication and presentation skills, with the ability to engage both
 
 
 technical and non-technical audiences.
 
 
 
 What You&rsquo;ll Bring
 
 
 
 &bull; Advanced Data Analysis and Modeling: Perform highly complex data analysis and
 
 
 build sophisticated predictive and prescriptive models using advanced statistical,
 
 
 machine learning, and deep learning techniques.
 
 
 &bull; Technical Leadership: Define analytical approaches, scope data science
 
 
 components in partnership with PMs, and lead the technical direction of projects
 
 
 across multiple industries.
 
 
 &bull; Cross-Functional Collaboration: Work closely with data engineers, product
 
 
 managers, and business stakeholders to align on requirements, solution direction,
 
 
 and implementation plans.
 
 
 &bull; Data Exploration: Explore large and diverse datasets to uncover insights, evaluate
 
 
 feasibility, and guide model and feature design.
 
 
 &bull; Model Deployment: Collaborate with engineering teams to implement, optimize,
 
 
 and maintain machine learning models in production environments, ensuring
 
 
 scalability, performance, and reliability.
 
 
 &bull; Mentorship: Provide informal technical mentoring, conduct deep code/model
 
 
 reviews, and guide other data scientists in best practices&mdash;without direct people
 
 
 management.
 
 
 &bull; Communication: Present complex findings, trade-offs, and solution paths to
 
 
 technical teams, business partners, and customer stakeholders in a clear and
 
 
 concise manner.
 
 
 &bull; Continuous Improvement: Stay current with emerging data science, machine
 
 
 learning, and GenAI advancements, applying new techniques to enhance solution
 
 
 quality and accelerate delivery.
 
</div>

Data Scientist

700apps

<div>
 700Apps is actively seeking a talented and experienced Senior AI Scientist to join our esteemed team. In this pivotal role, you will be responsible for advancing our artificial intelligence initiatives through rigorous research, model development, and the application of cutting-edge technologies. Your expertise will play a crucial role in shaping innovative AI solutions that address complex challenges and drive business outcomes.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Conduct extensive research in artificial intelligence and machine learning to develop state-of-the-art models that can be applied to various domains within the organization
 </li>
 <li>
 Design and implement robust AI algorithms and frameworks, ensuring scalability and efficiency in model performance
 </li>
 <li>
 Collaborate with cross-functional teams including data engineers, software developers, and business analysts to translate business needs into technical solutions
 </li>
 <li>
 Lead the development of advanced proofs of concept (POCs) and prototypes to demonstrate the potential of AI technologies to stakeholders
 </li>
 <li>
 Evaluate and refine existing models, implementing best practices to enhance their accuracy and reliability
 </li>
 <li>
 Stay abreast of the latest trends and advancements in AI research, providing thought leadership and insights to the team and the organization
 </li>
 <li>
 Document methodologies, findings, and insights to foster knowledge sharing and ensure reproducibility of results
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong research background
 </li>
 <li>
 5+ years of relevant experience in designing and developing AI models, particularly in natural language processing and large-scale machine learning applications
 </li>
 <li>
 Proficiency in programming languages such as Python and R, along with extensive experience using AI frameworks (e.g., TensorFlow, PyTorch, Keras)
 </li>
 <li>
 Strong understanding of statistical analysis, data mining techniques, and computational methods
 </li>
 <li>
 Demonstrated ability to work on complex datasets and develop accurate predictive models
 </li>
 <li>
 Exemplary problem-solving skills and capacity to work collaboratively in a fast-paced environment
 </li>
 <li>
 Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
 </li>
 <li>
 Publications in reputable AI conferences or journals are an advantage
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Private Health Insurance
 </li>
 <li>
 Training &amp; Development
 </li>
 <li>
 Attractive Salary
 </li>
 <li>
 Social Insurance
 </li>
 <li>
 Family Package
 </li>
 </ul>
</div>

Senior AI Scientist

DXC Technology

<div>
 
 
 Job Description
 
 
 
 
 Role Overview:
 
 
 
 We are seeking a highly skilled and collaborative Data Scientist to join the delivery team for a strategic Data &amp; AI implementation project. The ideal candidate will support the platform&rsquo;s advanced analytics use cases, including data exploration, statistical modeling, feature engineering, ML model development, and GenAI use case enablement. You will collaborate with data engineers, architects, BI developers, and business stakeholders to deliver actionable insights and intelligent solutions.
 
 
 
 Key Responsibilities
 
 
 
 
 🔹 Data Exploration &amp; Feature Engineering:
 
 
 <ul>
 <li>
 Explore, profile, and analyze structured, semi-structured, and unstructured data across more than 11 enterprise source systems (e.g., SAP, Oracle Fusion, JIRA, Primavera, etc.)
 </li>
 <li>
 Perform data cleansing, feature selection, and transformation activities across Bronze and Silver layers of the Lambda Data Lakehouse architecture
 </li>
 </ul>
 
 
 🔹 Advanced Analytics &amp; ML
 
 
 <ul>
 <li>
 Develop, train, and optimize supervised and unsupervised machine learning models to support use cases such as customer churn prediction, financial chatbot insights, and operational efficiency improvements
 </li>
 <li>
 Support integration and deployment of ML models into the data platform using tools like Google Cloud AI Platform, Python, Snowflake, and Power BI
 </li>
 </ul>
 
 
 🔹 GenAI Enablement
 
 
 <ul>
 <li>
 Collaborate on use cases involving Generative AI and Large Language Models (LLMs) using structured and unstructured datasets
 </li>
 <li>
 Work with data architects to ensure the Lakehouse architecture supports these models effectively
 </li>
 </ul>
 
 
 🔹 Collaboration &amp; Business Engagement
 
 
 <ul>
 <li>
 Participate in workshops and requirement-gathering sessions with customer&rsquo;s business and technical teams
 </li>
 <li>
 Translate business questions into data science problems, and present findings in actionable, business-friendly formats (dashboards, reports, presentations)
 </li>
 </ul>
 
 
 🔹 Quality, Testing &amp; Governance
 
 
 <ul>
 <li>
 Document assumptions, modeling approaches, and validations
 </li>
 <li>
 Participate in unit testing, QA, and UAT activities related to predictive analytics and AI models
 </li>
 <li>
 Ensure compliance with NDMO, PDPL, and customer&rsquo;s internal data governance policies
 </li>
 </ul>
 
 
 Required Skills And Experience
 
 
 <ul>
 <li>
 Strong experience in data science or machine learning roles on large-scale enterprise data projects
 </li>
 <li>
 Strong hands-on experience in:
 </li>
 <li>
 Python, Pandas, Scikit-learn, TensorFlow or PyTorch
 </li>
 <li>
 SQL (Snowflake or Google BigQuery preferred)
 </li>
 <li>
 Data wrangling and feature engineering
 </li>
 <li>
 Experience with ML lifecycle and MLOps tools on Google Cloud Platform (GCP)
 </li>
 <li>
 Familiarity with data versioning, CI/CD for ML, and monitoring ML pipelines
 </li>
 <li>
 Knowledge of APIs, data integration methods, and working with virtualized layers (e.g., Denodo)
 </li>
 <li>
 Exposure to BI visualization tools like Power BI
 </li>
 <li>
 Understanding of data privacy, security, and model fairness in regulated environments
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Google Cloud Certified Data Engineer / Machine Learning Engineer (preferred but not mandatory)
 </li>
 <li>
 Experience working in real estate or public sector is a plus
 </li>
 <li>
 Understanding of data cataloging, metadata, and lineage concepts using Informatica Cloud
 </li>
 </ul>
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Strong analytical mindset and problem-solving skills
 </li>
 <li>
 Excellent communication and stakeholder engagement abilities
 </li>
 <li>
 Ability to work under pressure and deliver in fast-paced, multi-vendor environments
 </li>
 </ul>
 
 At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We&rsquo;re committed to fostering an inclusive environment where everyone can thrive.
 
 
 Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here
 
 .
 
 
</div>

Envision Employment Solutions

<div>
 
 
 Envision Employment Solutions
 
 is currently looking for a
 
 Junior Data Scientist
 
 for one of our partners, a global leader in the IT Services and IT Consulting.
 
 
 
 
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Computer Science, Data Science, Statistics, Mathematics, or Engineering
 
 .
 </li>
 <li>
 0 to 2 years of experience required.
 </li>
 <li>
 Internship or academic projects showcasing practical data analysis or ML work.
 </li>
 <li>
 Optional certifications (Google Data Analytics, IBM Data Science, etc.).
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Technical Requirements
 
 </li>
 <li>
 
 Programming:
 
 Solid skills in
 
 Python
 
 (Pandas, NumPy, Scikit-learn) and
 
 SQL
 
 .
 </li>
 <li>
 
 Technical skills:
 
 </li>
 <li>
 Cleans and prepares structured datasets using Pandas or Power Query.
 </li>
 <li>
 Can visualize insights with
 
 Matplotlib, Seaborn
 
 .
 </li>
 <li>
 Understands and implements
 
 Machine learning models.
 
 </li>
 <li>
 Basic understanding of
 
 text preprocessing
 
 (tokenization, stop words, TF-IDF).
 </li>
 <li>
 Exposure to
 
 pretrained models via Hugging Face
 
 for small tasks (e.g., sentiment analysis).
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Soft Skills
 
 </li>
 <li>
 Curious mindset and willingness to learn from mentors.
 </li>
 <li>
 Strong analytical thinking and communication of results.
 </li>
 <li>
 Works effectively under supervision within cross-functional teams.
 </li>
 </ul>
</div>

Junior Data Scientist

Explore 899+ Data scientist senior machine learning engineer in Cairo Egypt this December. Find roles across top companies and apply now to boost your career.

899 data scientist senior machine learning engineer jobs IN Cairo Egypt

Data Scientist / Senior Machine Learning Engineer

Data Scientist / Senior Machine Learning Engineer

Data Scientist / Senior Machine Learning Engineer

Data Scientist

Senior AI Scientist

Data Scientist

Junior Data Scientist