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data analyst - supply chain Jobs in Egypt

data analyst - supply chain

data scientist ii

EVA pharma

<div>
 <p>
  Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for&nbsp;Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for&nbsp;our team members.
  <br/>
 </p>
 <p>
  Job Summary:
 </p>
 <p>
  We are seeking a passionate and talented
  <strong>
   Data Scientist II
  </strong>
  to join our dynamic team. The&nbsp;ideal candidate will contribute to our mission of enhancing human health and well-being,&nbsp;ensuring that we meet the highest standards of excellence in our industry.
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Collect, clean, and analyze structured and unstructured datasets to uncover insights and support data-driven decisions. Build and validate predictive models and machine learning algorithms to address business and healthcare challenges
  </li>
  <li>
   Apply cutting-edge techniques such as large language models, fine-tuning, and retrieval-augmented generation to create generative AI solutions for areas like drug discovery, clinical research, and patient engagement
  </li>
  <li>
   Conduct statistical tests, identify key patterns and correlations, and design experiments to validate hypotheses and measure impact
  </li>
  <li>
   Translate analytical findings into clear, actionable insights through Power BI dashboards and visual reports that inform strategic and operational decisions
  </li>
  <li>
   Stay current with emerging AI and ML technologies, apply modern data science tools to enhance efficiency, and collaborate with data engineers to deploy and optimize production-ready models
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Data Science, Computer Science, Statistics, or a related field
  </li>
 </ul>
 <ul>
  <li>
   2-4 years of experience as a Data Scientist or in a similar analytical role
  </li>
  <li>
   Strong command of Python and SQL, with hands-on experience using machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
  </li>
  <li>
   Familiarity with modern Generative AI frameworks and tools, including Hugging Face and LangChain, is highly desirable, with a Solid foundation in statistics, data analysis, and hypothesis testing, along with proficiency in Power BI for creating dashboards and reports
  </li>
  <li>
   Experience working with cloud platforms (e.g. Azure, or GCP), strong problem-solving abilities, and the capability to communicate complex analytical insights clearly to diverse audiences
  </li>
 </ul>
</div>


Data Scientist II

EVA Pharma

<div><p>Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for our team members.</p><p></p><p>
Job Summary:
</p><p>We are seeking a passionate and talented <b>Data Scientist II </b>to join our dynamic team. The ideal candidate will contribute to our mission of enhancing human health and well-being, ensuring that we meet the highest standards of excellence in our industry.</p><p></p><p><b>
Key Responsibilities:</b></p><ul>
<li>
Collect, clean, and analyze structured and unstructured datasets to uncover insights and support data-driven decisions. Build and validate predictive models and machine learning algorithms to address business and healthcare challenges.</li>
<li>Apply cutting-edge techniques such as large language models, fine-tuning, and retrieval-augmented generation to create generative AI solutions for areas like drug discovery, clinical research, and patient engagement.</li>
<li>Conduct statistical tests, identify key patterns and correlations, and design experiments to validate hypotheses and measure impact.</li>
<li>Translate analytical findings into clear, actionable insights through Power BI dashboards and visual reports that inform strategic and operational decisions.</li>
<li>Stay current with emerging AI and ML technologies, apply modern data science tools to enhance efficiency, and collaborate with data engineers to deploy and optimize production-ready models.</li>
</ul><p><b>
Requirements</b></p><ul><li>
Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.</li></ul><ul>
<li>2-4 years of experience as a Data Scientist or in a similar analytical role.</li>
<li>Strong command of Python and SQL, with hands-on experience using machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.</li>
<li>Familiarity with modern Generative AI frameworks and tools, including Hugging Face and LangChain, is highly desirable, with a Solid foundation in statistics, data analysis, and hypothesis testing, along with proficiency in Power BI for creating dashboards and reports.</li>
<li>Experience working with cloud platforms (e.g. Azure, or GCP), strong problem-solving abilities, and the capability to communicate complex analytical insights clearly to diverse audiences.</li></ul></div>

McKinsey & Company

<p></p><div><div><div><p>Job ID: 97584</p>
<div><div><li>Cairo</li><li>Riyadh</li></div></div><p></p><div><br>
</div></div><div><br>
<br>
<div>Do you want to work on complex and pressing challenges&mdash;the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you&rsquo;ve come to the right place.
</div></div><div><div><p>YOUR IMPACT</p>
<div><p>You will use data creatively to solve business challenges, often uncovering new and transformative opportunities along the way.</p><p></p><p>
In this role, you will focus on the development of advanced analytics models to optimize underlying business problems. You will apply state-of-the-art advanced analytics, quantitative tools and modeling techniques to interpret, make inferences and offer recommendations based on insights from the data. You will shape the future of what data-driven organizations look like, drive processes for extracting and using that data in creative ways and initiating new lines of thinking within an infinite number of clients and situations.</p><p></p><p>
You will create valuable, transformative business strategies through the measurement, manipulation, reporting and dissemination of broad sets of data. You will apply and advise on state-of-the-art advanced analytic and quantitative tools and modeling techniques to derive business insights, solve complex business problems and improve decisions. You will review, support and advise on the day-to-day analytics requirements of clients&rsquo; key operational processes while continually improving the impact of these processes.</p><p></p><p>
You will be based in our Cairo office as part of our QuantumBlack, AI by McKinsey team, partnering with consultants, clients, and other colleagues.</p><p></p><p>
Our QuantumBlack, AI by McKinsey teams bring the latest analytical techniques plus a deep understanding of industry dynamics and corporate functions to help clients create the most value from data.</p></div>
</div></div><div><div><p>YOUR GROWTH</p>
<p>Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.</p><p></p><p>
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.</p><p></p><p>
When you join us, you will have:</p><p></p><div><ul><li>
Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.</li><li>
A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.</li><li>
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.</li><li>
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.</li></ul></div>
</div></div><div><div><p>YOUR QUALIFICATIONS AND SKILLS</p>
<div><div><ul><li>Undergraduate degree in mathematics, statistics, physics, engineering; master's degree is a plus</li><li>
3+ years of professional experience in programming; experience applied to business problems is a plus</li><li>
Experience in programming (focus on machine learning) in Python; knowledge in SPSS, SAS, Ruby, Hadoop is a plus</li><li>
Experience in data treatment/data mining: SQL, AWK, Access, Spark, Excel</li><li>
Demonstrated aptitude for analytics; statistical knowledge is a plus</li><li>
Proven record of leadership in a work setting and/or through extracurricular activities</li><li>
Ability to work collaboratively in a team environment and effectively with people at all levels in an organization</li><li>
Ability to communicate complex ideas effectively, both verbally and in writing, in English required; fluency in local office language(s) is a plus</li></ul></div></div></div></div></div></div><p></p>

Data Scientist II - QuantumBlack, AI by McKinsey

Fugro

<div></div><div><div><div>The role of the Senior Surveyor involves management of personnel and resources during offshore</div><p>
survey operations, in addition to active participation during equipment mobilisation, calibrations, data</p><p>
acquisition and demobilisation. Onshore survey operations and office duties will also be required. The</p><p>
Senior Surveyor is expected to assist with appropriate training of the Surveyor Grades I &amp; II and</p><p>
Junior Surveyors, to ensure good working practices are maintained</p><p>
Education</p><p>
B.SC. level in Engineering (Survey/Civil) or equivalent</p><p>
Working Experience</p><p>
3-5Years</p><p>
Other Skills</p><ul><li><div>
Basic understanding of data acquisition QC and equipment calibration requirements.</div></li><li><div>
Basic understanding of hydrography, including underwater acoustics and tidal parameters.</div></li><li><div>
Basic understanding of surface and sub- surface positioning systems, including calibrations.</div></li><li><div>
Clear understanding of survey coordinate reference systems and basic geodetic terminology.</div></li><li><div>
Basic understanding of conventional land survey techniques.</div></li></ul></div><div><div>
Disclaimer for recruitment agencies:</div><p>
Fugro does not accept any unsolicited applications from recruitment agencies. Acquisition to Fugro Recruitment or any Fugro employee is not appreciated**.**</p></div></div><p></p>

Senior Surveyor

<div><h4 class="jobSectionHeader"><b>Job Description</b></h4>
<p></p><div><p>Key Responsibilities:<br>
&#61623; Develop, construct, test and maintain architectures<br>
&#61623; Align architecture with business requirements<br>
&#61623; Data acquisition<br>
&#61623; Develop data set processes<br>
&#61623; Use programming language and tools<br>
&#61623; Identify ways to improve data reliability, efficiency and quality<br>
&#61623; Conduct research for industry and business questions<br>
&#61623; Use large data sets to address business issues<br>
&#61623; Deploy sophisticated analytics programs, machine learning and statistical methods<br>
&#61623; Prepare data for predictive and prescriptive modeling<br>
&#61623; Find hidden patterns using data<br>
&#61623; Use data to discover tasks that can be automated<br>
&#61623; Deliver updates to stakeholders based on analytics<br>
&#61623; Assemble large, complex data sets that meet functional / non-functional business requirements.<br>
&#61623; Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.<br>
&#61623; Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Any ETL Tool.<br>
&#61623; Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.<br>
&#61623; Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.<br>
&#61623; Keep our data separated and secure across national boundaries through multiple data centers and Cloud.<br>
&#61623; Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.<br>
&#61623; Work with data and analytics experts to strive for greater functionality in our data systems.</p>
<p>
Candidate Qualifications:<br>
Business Knowledge/Technical Skills:<br>
&#61623; Bachelor of Computer Science or Engineering<br>
&#61623; 2+ Years&rsquo; Experience<br>
&#61623; Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.<br>
&#61623; Experience building and optimizing &lsquo;big data&rsquo; data pipelines, architectures and data sets.<br>
&#61623; Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.<br>
&#61623; Strong analytic skills related to working with unstructured datasets.<br>
&#61623; Build processes supporting data transformation, data structures, metadata, dependency and workload management.<br>
&#61623; A successful history of manipulating, processing and extracting value from large disconnected datasets.<br>
&#61623; Working knowledge of message queuing, stream processing, and highly scalable &lsquo;big data&rsquo; data stores.<br>
&#61623; Strong project management and organizational skills.<br>
&#61623; Experience supporting and working with cross-functional teams in a dynamic environment.</p></div><p></p>
<h4 class="jobSectionHeader"><b>Skills</b></h4>
<p></p><div><p>For experience Data engineer<br>
&#61623; For experience Data engineer<br>
&#61623; Experience with big data tools: Hadoop, Spark, Kafka, etc.<br>
&#61623; Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.<br>
&#61623; Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.<br>
&#61623; Experience with AWS cloud services: EC2, EMR, RDS, Redshift<br>
&#61623; Experience with stream-processing systems: Storm, Spark-Streaming, etc.<br>
&#61623; Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc</p></div><p></p>
<h4 class="jobSectionHeader"><b>Education</b></h4>
<div><p>Bachelor degree of Engineering</p></div></div><p></p>
<br><div></div><div><div><h4 class="jobSectionHeader"><b>Job Details</b></h4>
<div><div>Job Location</div>
<div>Cairo, Egypt</div>
</div><div><div>Job Role</div>
<div>Information Technology</div>
</div><div><div>Employment Status</div>
<div>Full time</div>
</div><div><div>Employment Type</div>
<div>Employee</div>
</div></div><div><h4 class="jobSectionHeader"><b>Preferred Candidate</b></h4>
<div><div>Career Level</div>
<div>Entry Level</div>
</div><div><div>Years of Experience</div>
<div>Min: 2 Max: 5</div>
</div><div><div>Residence Location</div>
<div>Cairo, Egypt</div>
</div><div><div>Nationality</div>
<div>Egypt</div>
</div><div><div>Degree</div>
<div>Bachelor's degree</div></div></div></div>

Data Engineer

sonnen Egypt

<div>
 <strong>
  Standort
  <br/>
  <br/>
 </strong>
 Cairo, EG
 <br/>
 <br/>
 <strong>
  Stellen-ID
 </strong>
 : 5268
 <br/>
 <br/>
 At the earliest date possible we are looking for support for our #teamsonnen
 <br/>
 <br/>
 Clean and affordable energy for all is one of the greatest challenges of our time. Sonnen has been committed to this mission since 2010 and is now represented in Europe, the USA and Australia with over 1,000 team members globally. In Germany, our offices are located in the beautiful Wildpoldsried (Allg&auml;u) and the vibrating heart of Berlin Kreuzberg.
 <br/>
 <br/>
 At sonnen, we are building the energy system of the future. To this end, we are developing new technologies and business models that have not existed before. Whether intelligent power storage, virtual power plants or digital services - we set the trends of a new energy world. That means, among other things, the inexpensive production and storage of renewable energy and the intelligent networking of producers and consumers. sonnen thereby gives people around the world the opportunity to become independent of fossil fuels and conventional energy supplier.
 <br/>
 <br/>
 We are growing steadily and are looking for people who want to join us in our vision of clean and affordable energy for all while making a positive impact on climate change.
 <br/>
 <br/>
 We are seeking for a Data Engineer who will empower sonnen&rsquo;s business with data-driven insights, services and products with the help of sonnen&rsquo;s AWS-based analytics platform and by provisioning data from various sources from within and outside the company.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  What you will do to help drive the energy transition:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You develop and maintain data analysis 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 collaborate with the business SMEs and stakeholders to understand their data requirements and support their analysis and modeling needs.
  </li>
  <li>
   You adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., 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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Will Need On That Journey
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You hold a bachelor&rsquo;s degree in Computer Science or a related technical field
  </li>
  <li>
   You have 3+ years of relevant employment experience (Data Scientist, Engineer or Architect)
  </li>
  <li>
   You have experience with data architecture and warehousing solutions (e.g. AWS Redshift, Databricks)
  </li>
  <li>
   You continue to enhance the existing platform, creating the technical foundation for scalable processes. Both data and result quality are important to you.
  </li>
  <li>
   You have good knowledge of Python, Pandas, SQL, NoSQL, RestAPI
  </li>
  <li>
   You are fluent in English. German is a plus.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Stellensegment:
 </strong>
 Computer Science, Quality Assurance, SQL, Database, Technology
</div>


Data Engineer (m/w/d)

<div>
 <strong>
  Standort
  <br/>
  <br/>
 </strong>
 Cairo, EG
 <br/>
 <br/>
 <strong>
  Stellen-ID
 </strong>
 : 4758
 <br/>
 <br/>
 At the earliest date possible we are looking for support for our #teamsonnen
 <br/>
 <br/>
 Clean and affordable energy for all is one of the greatest challenges of our time. Sonnen has been committed to this mission since 2010 and is now represented in Europe, the USA and Australia with over 1,000 team members globally. In Germany, our offices are located in the beautiful Wildpoldsried (Allg&auml;u) and the vibrating heart of Berlin Kreuzberg.
 <br/>
 <br/>
 At sonnen, we are building the energy system of the future. To this end, we are developing new technologies and business models that have not existed before. Whether intelligent power storage, virtual power plants or digital services - we set the trends of a new energy world. That means, among other things, the inexpensive production and storage of renewable energy and the intelligent networking of producers and consumers. sonnen thereby gives people around the world the opportunity to become independent of fossil fuels and conventional energy supplier.
 <br/>
 <br/>
 We are growing steadily and are looking for people who want to join us in our vision of clean and affordable energy for all while making a positive impact on climate change.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  What you will do to help drive the energy transition:
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Will Need On That Journey
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Stellensegment:
 </strong>
 Business Intelligence, Data Warehouse, Computer Science, Quality Assurance, Project Manager, Technology
</div>


Data Engineer (m/f/d)

Explore 1160+ Data scientist ii in Egypt this October. Find roles across top companies and apply now to boost your career.

1160 data scientist ii jobs IN Egypt

Data Scientist II

Data Scientist II

Data Scientist II - QuantumBlack, AI by McKinsey

Senior Surveyor

Data Engineer

Data Engineer (m/w/d)

Data Engineer (m/f/d)