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lead ds (data scientist) bangkok based, relocation provided Jobs in Egypt

lead ds (data scientist) bangkok based, relocation provided

lead/ staff data scientist (bangkok based, relocation provided) Jobs in Egypt

lead/ staff data scientist (bangkok based, relocation provided)

applied scientist

data analyst

data scientist

Chapter One

About Us: We are seeking a highly motivated Data Scientist who is passionate about turning data into actionable insights. The ideal candidate is smart, analytical, and skilled in TypeScript, Python, and SQL. If you love solving complex problems and communicating your findings effectively, we want you on our team. Key Responsibilities:<ul><li>Analyze large, complex datasets to extract meaningful insights and drive business decisions.</li><li>Build and maintain scalable data pipelines and automated workflows using Python and SQL.</li><li>Develop data-driven solutions and predictive models using statistical and machine learning techniques.</li><li>Implement data analysis and visualization tools using TypeScript for interactive dashboards and reporting.</li><li>Collaborate with cross-functional teams to understand data needs and translate them into actionable outcomes.</li><li>Ensure data quality, integrity, and consistency across all sources.</li><li>Present findings to stakeholders in a clear, concise, and actionable way.</li></ul>Qualifications:<ul><li>Strong experience in Python, TypeScript, and SQL.</li><li>Proven experience with data analysis, statistical modeling, or machine learning.</li><li>Solid understanding of data structures, algorithms, and software engineering best practices.</li><li>Experience with visualization tools and frameworks (e.g., D3.js, Plotly, or similar).</li><li>Strong problem-solving skills and ability to think critically.</li><li>Excellent communication skills; able to present complex data insights to non-technical stakeholders.</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Statistics, or a related field preferred.</li></ul>Nice to Have:<ul><li>Experience with cloud platforms (AWS, GCP, Azure).</li><li>Familiarity with CI/CD pipelines and version control (Git).</li><li>Background in product analytics, e-commerce, or fintech.</li></ul>Job Type: Part-timePay: E&pound;450.03 - E&pound;485.03 per hourLanguage:<ul><li>english very well (Preferred)</li></ul>

Data Scientist

Henkel

<div>
 
 About this Position
 
 The Data Scientist enables value creation with data innovations (e.g. Applied data Science, Machine Learning, Artificial Intelligence, Quantitative Research &amp; Statistics) and productionizing data products. The team includes experts in analytics and finance, implementing analytical use cases for Adhesives unit (HAT), from product innovation to customer facing applications. The team is responsible for applying the latest tools and technologies as well as cloud services to design, build and run data driven AI solutions that contribute to Henkel&rsquo;s digitalization strategy.
 
 
 
 What You&acute;ll Do
 
 
 
 <ul>
 <li>
 Solve complex business problems with data; using data scientific tools to find solutions for challenges in the realm of both big and small data: developing custom data models and algorithms to apply to data sets
 </li>
 <li>
 Delivers data science products from idea to deployment
 </li>
 <li>
 Actively participate in cross-functional project teams in the execution of our analytics strategy, exploring emerging technologies and leveraging their full potential
 </li>
 <li>
 Develop processes and tools to monitor and analyze model performance and data accuracy
 </li>
 <li>
 Acts as data science ambassador across business units and functions
 
 
 </li>
 </ul>
 
 What makes you a good fit
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Network Engineering, Business informatics, or any relevant study
 </li>
 <li>
 3-5 years of relevant work experience
 </li>
 <li>
 Expert knowledge in at least one of the following data science areas: supervised or unsupervised machine learning, statistical modeling
 </li>
 <li>
 Business acumen and ability to work closely with non-technical teams
 </li>
 <li>
 High confidence in verbal and written communication.
 </li>
 <li>
 Experience using statistical computer languages (Python and SQL knowledge is a must)
 </li>
 <li>
 Experience analyzing data from 3rd party providers is preferable
 </li>
 <li>
 Microsoft Azure (DevOps, machine learning, databricks etc.) experience is preferable
 
 
 </li>
 </ul>
 
 Some perks of joining Henkel
 
 
 
 <ul>
 <li>
 Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
 </li>
 <li>
 Diverse national and international growth opportunities
 </li>
 <li>
 Globally wellbeing standards with health and preventive care programs
 </li>
 <li>
 Gender-neutral parental leave for a minimum of 8 weeks
 </li>
 <li>
 Employee Share Plan with voluntary investment and Henkel matching shares
 </li>
 <li>
 Comprehensive Health Insurance for employee + dependents
 </li>
 <li>
 Employee Assistance Program provides a wide range of mental health and wellbeing benefits
 
 
 </li>
 </ul>
 At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.
</div>

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>
 <ul>
 <li>
 Python, Pandas, Scikit-learn, TensorFlow or PyTorch
 </li>
 <li>
 SQL (Snowflake or Google BigQuery preferred)
 </li>
 <li>
 Data wrangling and feature engineering
 </li>
 </ul>
 <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>

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
 
 
 You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
 
 
 Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
 
 
 
 Your Role And Responsibilities
 
 
 
 We are seeking a Data Scientist with expertise in Artificial Intelligence (AI) to join our team. In this role, you will leverage your strong data analysis skills and business acumen to address complex cognitive computing challenges. You will be responsible for developing and implementing advanced analytics solutions for both structured and unstructured data, with a specific focus on Natural Language Processing (NLP) and Machine Learning (ML) techniques. Your specialization in foundation models and large language models (LLMs) will enable you to design and deliver AI solutions using state-of-the-art technologies.
 
 
 The ideal candidate will have experience with tools like GitHub Copilot and Amazon Code Whisperer, and possess a deep understanding of AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. You should be proficient in programming with Python and familiar with essential libraries such as SciKit Learn, Pandas, and Matplotlib. Additionally, experience with cloud platforms like AWS, Azure, or GCP and container orchestration tools such as Kubernetes is essential.
 
 
 You will work with a range of relational and NoSQL databases (e.g., SQL, Postgres, DB2, MongoDB) and various operating systems (Linux, Windows, iOS, Android), and collaborate with modern UI frameworks (React.js, AngularJS, etc.). Your role will span the entire AI project lifecycle, from research and prototyping to deploying AI solutions in production environments. A strong foundation in one of the following areas is required: NLP, Image Processing, Video Processing, Voice Processing, or Watson technologies.
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 At least 5 years expertise in AI, particularly in NLP, Machine Learning, and foundation models.
 </li>
 <li>
 Proficiency in Python and AI frameworks
 </li>
 <li>
 Experienced in Java Springboot
 </li>
 <li>
 Strong background in databases (SQL, Postgres, MongoDB) and modern UI frameworks (React.js, AngularJS).
 </li>
 <li>
 Full AI project lifecycle experience, from research and prototyping to production deployment.
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 
 Hiring manager and Recruiter should collaborate to create the relevant verbiage.
 
</div>

Rackspace Technology

<div><div><div>As a full spectrum AWS integrator, we assist hundreds of companies to realize the value, efficiency, and productivity of the cloud. We take customers on their journey to enable, operate, and innovate using cloud technologies &ndash; from migration strategy to operational excellence and immersive transformation.
</div><div>If you like a challenge, you&rsquo;ll love it here, because we&rsquo;re solving complex business problems every day, building and promoting great technology solutions that impact our customers&rsquo; success. The best part is, we&rsquo;re committed to you and your growth, both professionally and personally.</div><div>
Our Data Scientists are experienced technologists with technical depth and breadth, along with strong interpersonal skills. In this role, you will work directly with customers and our team to help enable innovation through continuous, hands-on, deployment across technology stacks. You will work to build data science pipelines that include building models, A/B testing, natural language processing, computer vision, MCP servers and AI Agents. You will deliver ML models and pipelines that solve real-world business problems, while leveraging ML Ops best practices, to ensure successful deployment of ML models and application code You will leverage cloud-based architectures and technologies to deliver optimized ML models at scale You will use programming languages like Python and work with popular ML frameworks like Scikit Learn, TensorFlow etc..</div><div>
If you get a thrill working with cutting-edge technology and love to help solve customers&rsquo; problems, we&rsquo;d love to hear from you. It&rsquo;s time to rethink the possible. Are you ready?
</div></div><div><div><h3 class="jobSectionHeader">What you will be doing:</h3><ul><li><ul><li>
Design, develop, and maintain AI Agents leveraging modern frameworks and LLM-based orchestration techniques</li><li>
Build, deploy, and optimize MCP (Model Context Protocol) servers to extend agent capabilities and enable integration with external tools and APIs</li><li>
Architect scalable, modular, and maintainable systems for multi-agent collaboration and tool interoperability</li><li>
Implement secure and efficient communication channels between AI agents, MCP servers, and client applications</li><li>
Continuously evaluate new frameworks, protocols, and libraries in the AI agent ecosystem (e.g., LangChain, AutoGen, crewAI, or custom MCP implementations)</li><li>
Build complex SQL queries using MongoDB, Oracle, SQL Server, MariaDB, MySQL</li><li>
Ability to work with structured and unstructured data sets</li><li>
Deep experience with R or Python, and SQL</li><li>
Ability to apply supervised and unsupervised machine learning techniques</li><li>
Using modern ML frameworks such as SKLearn, PyTorch or TensorFlow</li><li>
Data labelling, categorization, and structuring techniques</li><li>
Ability to break down and clearly define problems</li><li>
Ability to communicate highly technical results to a diverse audience</li><li>
Excellent analytical and problem-solving skills</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader">Qualifications &amp; Skills:</h3><ul><li><ul><li>
5+ years of hands-on experience in data mining and predictive analytics with statistical modelling techniques</li><li>
5+ years of experience in networking, infrastructure, or database architectures</li><li>
Experienced with Python and modern ML frameworks such as SKLearn, PyTorch or TensorFlow</li><li>
Proven experience in designing and deploying MCP servers or similar protocol-based integrations</li><li>
Strong software engineering background (Python, Node.js, or similar languages)</li><li>
Experience with AI agent frameworks (e.g., LangChain, crewAI, AutoGen, Semantic Kernel, Haystack)</li><li>
Solid understanding of LLM orchestration, context management, and retrieval-augmented generation (RAG)</li><li>
Knowledge of API design, microservices, and communication protocols (WebSockets, gRPC, REST)</li><li>
Familiarity with containerization and deployment (Docker, Kubernetes, or serverless)</li><li>
Background in cloud platforms (AWS, Azure, GCP) and MLOps workflows</li><li>
Understanding of security best practices for agent&ndash;server interactions (auth, sandboxing, data governance)</li><li>
Contributions to open-source MCP servers, AI agent frameworks, or LLM plugins</li><li>
Knowledge of prompt engineering, fine-tuning, or reinforcement learning with human feedback (RLHF)</li><li>
Experience with advanced data science tools</li><li>
Experience applying computational algorithms and statistical methods to structured and unstructured data</li><li>
MS or PhD in Applied Mathematics, Physics, Computer Science, Statistics, or related technical field</li><li>
#LI-JB2</li></ul></li></ul></div></div>
<div><div>#LI-JB2</div><div>
#LI-Remote</div></div></div>

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
 
 
 You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
 
 
 Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
 
 
 
 Your Role And Responsibilities
 
 
 
 We are seeking an experienced Data Scientist. The ideal candidate will have a deep understanding of Machine Learning, Generative AI, and Large Language Models, combined with strong leadership abilities. This role will be responsible for business development, overseeing the development and implementation of advanced data-driven solutions as well as mentor a team of talented data scientists.
 
 
 
 Technical Oversight
 
 
 
 <ul>
 <li>
 Oversee the design, development, and deployment of Machine Learning models and AI solutions.
 </li>
 <li>
 Ensure the use of best practices in data science, including model validation, performance monitoring, and continuous improvement.
 </li>
 <li>
 Stay informed about the latest developments in AI/ML and drive the adoption of relevant technologies within the team.
 
 
 </li>
 </ul>
 
 Team Development
 
 
 
 <ul>
 <li>
 Provide mentorship and professional development opportunities to project and practice team members.
 </li>
 <li>
 Actively support in recruitment efforts to attract top talent and grow the team as needed.
 </li>
 <li>
 Help Foster a culture of learning and continuous development within the AI/Data Science team.
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Experience
 
 
 
 
 Required technical and professional expertise
 
 
 
 <ul>
 <li>
 7+ years of experience in Data Science and Machine Learning with at least 1 year of experience in conversational solutions design and development using Watson Assistant or similar conversational AI platforms.
 </li>
 <li>
 Proven track record of delivering AI/ML projects.
 </li>
 <li>
 Experience with Generative AI and Large Language Models is highly desirable
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Proficiency in programming languages such as Python, R, or Scala.
 </li>
 <li>
 Deep understanding of Machine Learning frameworks (e.g., TensorFlow, PyTorch) and data processing tools (e.g., SQL, Pandas).
 </li>
 <li>
 Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and machine learning deployment.
 </li>
 <li>
 Strong knowledge of Natural Language Processing (NLP) and AI ethics.
 
 
 </li>
 </ul>
 
 Leadership Skills
 
 
 
 <ul>
 <li>
 Leadership skills with the ability to inspire and motivate junior team members.
 </li>
 <li>
 Strategic thinking with the ability to align data science initiatives with business objectives.
 </li>
 <li>
 Very good communication skills, capable of conveying complex ideas to a variety of audiences.
 </li>
 <li>
 Proven ability to work collaboratively in projects with cross-functional teams.
 </li>
 <li>
 Experience in building/scaling data science teams and implementing AI solutions in a large (preferably, consulting) organization.
 </li>
 </ul>
</div>

Data Scientist - Artificial Intelligence

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
 
 
 You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
 
 
 Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
 
 
 
 Your Role And Responsibilities
 
 
 
 We are seeking an experienced Data Scientist. The ideal candidate will have a deep understanding of Machine Learning, Generative AI, and Large Language Models, combined with strong leadership abilities. This role will be responsible for business development, overseeing the development and implementation of advanced data-driven solutions as well as mentor a team of talented data scientists.
 
 
 
 Technical Oversight
 
 
 
 <ul>
 <li>
 Oversee the design, development, and deployment of Machine Learning models and AI solutions.
 </li>
 <li>
 Ensure the use of best practices in data science, including model validation, performance monitoring, and continuous improvement.
 </li>
 <li>
 Stay informed about the latest developments in AI/ML and drive the adoption of relevant technologies within the team.
 
 
 </li>
 </ul>
 
 Team Development
 
 
 
 <ul>
 <li>
 Provide mentorship and professional development opportunities to project and practice team members.
 </li>
 <li>
 Actively support in recruitment efforts to attract top talent and grow the team as needed.
 </li>
 <li>
 Help Foster a culture of learning and continuous development within the AI/Data Science team.
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 7+ years of experience in Data Science and Machine Learning with at least 1 year of experience in conversational solutions design and development using Watson Assistant or similar conversational AI platforms.
 </li>
 <li>
 Proven track record of delivering AI/ML projects.
 </li>
 <li>
 Experience with Generative AI and Large Language Models is highly desirable
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Proficiency in programming languages such as Python, R, or Scala.
 </li>
 <li>
 Deep understanding of Machine Learning frameworks (e.g., TensorFlow, PyTorch) and data processing tools (e.g., SQL, Pandas).
 </li>
 <li>
 Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and machine learning deployment.
 </li>
 <li>
 Strong knowledge of Natural Language Processing (NLP) and AI ethics.
 
 
 </li>
 </ul>
 
 Leadership Skills
 
 
 
 <ul>
 <li>
 Leadership skills with the ability to inspire and motivate junior team members.
 </li>
 <li>
 Strategic thinking with the ability to align data science initiatives with business objectives.
 </li>
 <li>
 Very good communication skills, capable of conveying complex ideas to a variety of audiences.
 </li>
 <li>
 Proven ability to work collaboratively in projects with cross-functional teams.
 </li>
 <li>
 Experience in building/scaling data science teams and implementing AI solutions in a large (preferably, consulting) organization....Less
 </li>
 </ul>
</div>

Explore 1281+ Data scientist in Egypt this September. Find roles across top companies and apply now to boost your career.

1281 data scientist jobs IN Egypt

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Artificial Intelligence

Data Scientist - Artificial Intelligence