data support engineer

senior data scientist

sr. data scientist (vois) Jobs in Giza Egypt

sr. data scientist (vois)

data scientist

Digital Egypt For Investment Co.

<div>
 As a
 
 Senior Data Scientist
 
 ,you will lead the design and execution of advanced data science projects that drive strategic business decisions. This role requires a deep understanding of machine learning, statistical modeling, and data analytics to uncover insights and deliver impactful solutions. You will collaborate with cross-functional teams to translate complex data into actionable strategies, mentor junior team members, and contribute to the continuous improvement of Teradata&rsquo;s data science capabilities.
 
 
 
 Key Duties And Responsibilities
 
 
 
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 Lead Data Science Projects: Manage the full lifecycle of data science initiatives&mdash;from problem definition and data exploration to model development and deployment.
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 Build Predictive Models: Design and implement machine learning and statistical models to solve business challenges and forecast outcomes.
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 Analyze Complex Datasets: Perform deep data analysis to identify trends, patterns, and opportunities for optimization.
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 Collaborate Across Teams: Work closely with data engineers, product managers, and business stakeholders to align data solutions with organizational goals.
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 Deploy and Monitor Models: Ensure models are scalable, reliable, and integrated into production systems with ongoing performance monitoring.
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 Mentor and Guide: Support the growth of junior data scientists by sharing best practices, reviewing work, and fostering a culture of continuous learning.
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 Communicate Insights: Present findings clearly to both technical and non-technical audiences, turning data into compelling narratives and strategic recommendations.
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 Stay Current: Keep up with the latest advancements in AI, machine learning, and data science to enhance existing methodologies and tools.
 
 
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 </ul>
 
 Must-Have Qualifications
 
 
 
 <ul>
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 Minimum 5 years of experience in data science or analytics
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 Proficiency in Python and SQL
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 Strong foundation in statistical analysis and machine learning
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 Expertise in deep learning algorithms and Generative AI (GenAI)
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 Excellent communication and presentation skills
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 </ul>
</div>

Senior Data Scientist

VOIS

<div>
 
 Who We Are
 
 
 
 VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology &amp; Transformation.
 
 
 As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability.
 
 
 We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.
 
 
 #VOIS #BeUnrivalled #CreateTheFuture
 
 
 
 About This Role
 
 
 
 
 What you&rsquo;ll do
 
 
 
 <ul>
 <li>
 Build, test, and deliver new analytics models using diverse datasets to support business use cases
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 Prepare and cleanse data, optimise SQL and NoSQL queries, and implement statistical models
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 Develop descriptive and predictive models for specific market segments, products, and services
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 Collaborate with commercial teams to present actionable insights derived from analytical results
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 Support product management in identifying customer-facing analytics use cases for roadmap planning
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 Contribute to defining lifecycle processes for analytics to enable fast and cost-effective development
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 Participate in business analysis and document specifications for information requests
 
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
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 Experienced in advanced analytics techniques including descriptive, predictive, and optimisation models
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 Skilled in handling complex, high-volume data, preferably within Hadoop/Spark environments
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 Proficient in SQL and databases such as Teradata, Oracle, and MySQL
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 Strong knowledge of machine learning techniques and their real-world applications
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 Hands-on experience with statistical tools like Python, R, SAS EM, MATLAB, SPSS, and Teradata Warehouse Miner
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 Holds a degree in Computer Science, Engineering, Applied Mathematics, or Statistics (MS/Ph.D. preferred)
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 Comfortable working in international, distributed teams with agile methodologies
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 Excellent communication, analytical, and troubleshooting skills
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 Innovative thinker with a flexible, proactive attitude and strong coordination capabilities
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 Fluent in English, both written and spoken
 
 
 
 </li>
 </ul>
 
 Not a Perfect Fit?
 
 
 
 
 What&rsquo;s In It For You
 
 
 
 
 What skills you will learn
 
 
 
 
 VOIS Equal Opportunity Employer Commitment
 
 
 
 
 Join Us
 
 
 
 At Vodafone, we&rsquo;re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.
 
 
 We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.
 
 
 With us, you can be truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.
 
 
 
 Alert
 
 
 
 Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.
 
 
 #JDEnhancedByTARA
 
 
 
 Follow us on social media and #StayConnected
 
 
 
 <ul>
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 LinkedIn
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 Facebook
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 Instagram
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 Chat with our employees to learn more about our projects
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 </ul>
</div>

Sr. Data Scientist (VOIS)

Agoda

<div>
 
 About Agoda
 
 
 
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 
 
 
 Our Purpose -
 
 
 Bridging the World Through Travel
 
 
 
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
 
 
 We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 
 
 
 Get to Know Our Team
 
 
 
 The Data department , based in Bangkok , oversees all of Agoda&rsquo;s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
 
 
 
 The Opportunity
 
 
 
 
 Please note -The role will be based in Bangkok.
 
 
 
 We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
 
 
 As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
 
 
 
 In This Role, You&rsquo;ll Get to
 
 
 
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 Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
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 Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
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 Work with developers and a variety of business owners to deliver daily results with the best quality.
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 Research discover and harness new ideas that can make a difference
 
 
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 </ul>
 
 What You&rsquo;ll Need To Succeed
 
 
 
 <ul>
 <li>
 4+ years hands-on data science experience.
 </li>
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 Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
 </li>
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 Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
 </li>
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 Can lead, work independently as well as play a key role in a team.
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 Good communication and interpersonal skills for working in a multicultural work environment.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if You Have
 
 
 
 <ul>
 <li>
 PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
 </li>
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 Experience in NLP, image processing and/or recommendation systems
 </li>
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 Hands on experience in data engineering, working with big data framework like Spark/Hadoop
 </li>
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 Experience in data science for e-commerce and/or OTA
 
 
 </li>
 </ul>
 
 We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
 
 
 
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 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
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 Facebook https://www.facebook.com/agodacareers/
 </li>
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 LinkedIn https://www.linkedin.com/company/agoda
 </li>
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 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Senior Data Scientist (Bangkok based, relocation provided)

Lead/ Staff Data Scientist (Bangkok based, relocation provided)

Appgain

APPGAIN is seeking an innovative and experienced AI Engineer to join our dynamic team. As an AI Engineer, you will be instrumental in designing, developing, and deploying cutting-edge artificial intelligence and machine learning solutions that address complex business challenges. You will work at the intersection of data science, software engineering, and operations to bring AI models from research to production.Responsibilities:<ul><li>Design, develop, and implement scalable AI models and algorithms using machine learning and deep learning techniques.</li><li>Build and manage robust AI development and production infrastructure, including data pipelines and MLOps workflows.</li><li>Collaborate with data scientists, product managers, and other stakeholders to translate business requirements into AI-driven solutions.</li><li>Integrate AI models into existing software systems and applications, ensuring seamless functionality and performance.</li><li>Conduct statistical analysis and interpret results to optimize AI models and guide decision-making.</li><li>Perform model testing, validation, and debugging to ensure accuracy, reliability, and efficiency.</li><li>Monitor and maintain deployed AI systems, identifying and resolving issues, and continuously optimizing performance.</li><li>Stay up-to-date with the latest advancements in AI research, technologies, and industry best practices.</li><li>Contribute to the adoption of AI best practices across teams and promote a data-driven culture.</li><li>Document machine learning processes, models, and solutions thoroughly.</li></ul>Qualifications:<ul><li>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative field.</li><li>Proven experience as an AI Engineer, Machine Learning Engineer, or a similar role, with a strong portfolio of deployed AI solutions.</li><li>Proficiency in programming languages commonly used in AI, such as Python (with libraries like TensorFlow, PyTorch, Keras) or Java.</li><li>Solid understanding of machine learning algorithms (e.g., supervised, unsupervised, reinforcement learning) and deep learning neural networks.</li><li>Experience with big data technologies (e.g., Apache Spark, Hadoop, MongoDB) and data processing techniques.</li><li>Strong knowledge of SQL and experience with database modeling and management.</li><li>Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services.</li><li>Excellent problem-solving, analytical, and critical thinking skills.</li><li>Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.</li><li>Ability to work effectively in an agile, fast-paced, and collaborative environment.</li><li>Experience with Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.</li><li>Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Docker, Kubernetes).</li><li>Experience with prompt engineering for Large Language Models (LLMs).</li><li>Familiarity with software design patterns and principles.</li><li>Contributions to open-source AI projects or relevant publications.</li></ul>Job Type: full time on siteJob Type: Full-timeEducation:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>AI Engineer: 3 years (Preferred)</li><li>machine learning algorithms : 3 years (Preferred)</li><li>big data technologies : 3 years (Preferred)</li></ul>

AI Engineer

Concentrix

<div><div><div>Operations
</div><div><div><div>Location</div><div>
Giza, Egypt</div></div></div><div></div><div> 
Job Title:
Analyst, Business Operations
Job Description
analysis and insights
Job Summary: We are seeking a highly analytical and detail-oriented Business &amp; Data Analyst to support strategic decision-making through data insights and business process optimization. This hybrid role combines the responsibilities of a Business Analyst and a Data Analyst, requiring strong business acumen, data analysis skills, and the ability to communicate findings effectively to stakeholders.
Key Responsibilities:<ul><li>
Collaborate with stakeholders to gather and document business requirements.</li><li>
Analyze business processes and identify opportunities for improvement.</li><li>
Translate business needs into technical specifications and data models.</li><li>
Collect, clean, and analyze large datasets to uncover trends and insights.</li><li>
Develop and maintain dashboards, reports, and visualizations using BI tools (e.g., Power BI, Tableau).</li><li>
Conduct root cause analysis and provide actionable recommendations.</li><li>
Support strategic planning, forecasting, and performance tracking.</li><li>
Ensure data integrity and compliance with data governance standards.</li><li>
Present findings and insights to both technical and non-technical audiences.</li></ul>
Qualifications:<ul><li>
Bachelor&rsquo;s degree in Business Administration, Data Science, Information Systems, or a related field.</li><li>
3+ years of experience in business analysis, data analysis, or a similar hybrid role.</li><li>
Strong proficiency in SQL, Excel, and data visualization tools.</li><li>
Experience with statistical tools and programming languages (e.g., Python, R) is a plus.</li><li>
Excellent problem-solving, critical thinking, and communication skills.</li><li>
Ability to manage multiple projects and work cross-functionally.</li></ul>
Preferred Skills:<ul><li>
Experience with process mapping and business process reengineering.</li><li>
Familiarity with project management methodologies (Agile, Scrum).</li><li>
Knowledge of data warehousing and ETL processes.</li></ul>
Location:
EGY Sheikh Zayed City - Park St. Complex, Building 3, El Bostan Street
Language Requirements:
Time Type:
Full time2025-10-31
If you are a California resident, by submitting your information, you acknowledge that you have read and have access to the Job Applicant Privacy Notice for California Residents</div></div></div><div></div>

Analyst, Business Operations

HR Hub

The Research &amp; Quality Assurance Specialist is responsible for conducting market and audience research, analyzing data, and ensuring the accuracy, consistency, and quality of content, processes, and deliverables. This role combines analytical thinking with a commitment to maintaining high standards in both data and operational performance.Key Responsibilities: Research &amp; Analysis<ul><li>Conduct market research, audience analysis, and competitor benchmarking.</li><li>Collect, organize, and interpret qualitative and quantitative data.</li><li>Prepare research reports, dashboards, and performance summaries for management.</li><li>Provide insights to guide programming, marketing strategies, or client campaigns.</li></ul>Quality Assurance<ul><li>Review programs, reports, or advertising materials to ensure accuracy, clarity, and compliance with internal standards and regulations.</li><li>Develop and maintain quality assurance procedures and checklists.</li><li>Monitor output for technical and editorial quality (sound, visuals, timing, data accuracy, etc., if in media).</li><li>Identify process gaps and recommend improvements to enhance efficiency and consistency.</li></ul>Coordination &amp; Support<ul><li>Collaborate with production, content, marketing, and sales teams to ensure research data supports decision-making.</li><li>Train and support staff in applying quality assurance procedures and data reporting standards.</li><li>Participate in performance evaluation and continuous improvement projects.</li></ul>Qualifications &amp; Experience:<ul><li>Bachelor&rsquo;s degree in business administration, Marketing, Statistics, Media Studies, or Quality Management.</li><li>3&ndash;6 years of experience in research, data analysis, or quality assurance (preferably in media, advertising, or market research).</li><li>Strong analytical and reporting skills.</li><li>Proficient in data tools (Excel, Power BI, SPSS, or Google Data Studio).</li><li>Familiar with quality management systems (e.g., ISO standards) is a plus.</li><li>Excellent attention to detail, accuracy, and organizational skills.</li><li>Strong written and verbal communication skills in English (Arabic is a plus).</li></ul>Key Competencies:<ul><li>Analytical mindset and problem-solving ability.</li><li>High accuracy and consistency under pressure.</li><li>Cross-departmental collaboration and teamwork.</li><li>Initiative and ownership of quality outcomes.</li><li>Confidentiality and integrity when handling sensitive data.</li></ul>What We Offer:<ul><li>Competitive salary and benefits package.</li><li>A dynamic, data-driven work environment.</li><li>Career development and training opportunities.</li><li>Opportunity to contribute to strategic business and content decisions.</li></ul>Job Type: Full-timeExperience:<ul><li>Quality Assurance: 5 years (Preferred)</li></ul>

Research & Quality Assurance Specialist

Explore 110+ Data scientist in Giza Egypt this November. Find roles across top companies and apply now to boost your career.