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applied scientist ii

Microsoft

<div>
 Join the Microsoft Shopping team! We deliver smart shopping experiences with personalization, savings, transparency, and convenience, ensuring confidence in every purchase. Microsoft Shopping is your personal shopping companion, empowering customers to shop smarter and discover what they love. By harnessing the power of AI (artificial intelligence), LLMs (large language models) and LLM-based Agents, we are building best-in-class shopping experiences across Bing, MSN, and Edge. If you are passionate about transforming the online shopping experience for millions of users, this role is for you.
 
 
 We are seeking an
 
 Applied Scientist II
 
 who is passionate about machine learning, data analysis, and ML (machine learning) modeling to join our team. Your expertise will drive innovation and ensure the team is aligned with the Microsoft Shopping vision. This position offers a unique blend of scientific research, innovation, and strategic influence, allowing you to make a significant impact on both the team and the overall shopping experience at Microsoft Shopping.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Expertise Development: Gain deep knowledge of our recommendation systems, platforms, and domains, staying updated with the latest industry trends and applied technologies in ML, AI and LLMs to Recommendations.
 </li>
 <li>
 Mentorship and Team Support: Reinforce a positive environment, support mentorship, and assist with onboarding of early in career team members.
 </li>
 <li>
 Documentation and Ethics: Document work in progress, share findings to promote innovation, present to stakeholders, and follow ethics and privacy policies during research processes.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
 </li>
 <ul>
 <li>
 OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
 </li>
 <li>
 OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
 </li>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 2+ years of experience with machine learning, data analysis, and modeling.
 
 </li>
 </ul>
 
 Other Requirements
 
 
 
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
 
 
 <ul>
 <li>
 Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
 </li>
 <ul>
 <li>
 OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
 </li>
 <li>
 OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
 </li>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).
 </li>
 <li>
 Experience in the shopping domain and recommendation systems.
 
 </li>
 </ul>
 #MicrosoftAI #Shopping #GenerativeAI #LLM
 
 
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Applied Scientist II

EVA pharma

<div>
 
 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.
 
 
 
 Job Summary:
 
 
 We are seeking a passionate and talented
 
 Data Scientist II
 
 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.
 
 
 
 
 Key Responsibilities:
 
 
 <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>
 
 Requirements
 
 
 
 <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

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>

Data Scientist

PwC Middle East

<div>
 
 Line of Service
 
 
 
 Advisory
 
 
 
 Industry/Sector
 
 
 
 Technology
 
 
 
 Specialism
 
 
 
 Advisory - Other
 
 
 
 Management Level
 
 
 
 Manager
 
 
 
 Job Description &amp; Summary
 
 
 
 The PwC ETIC is looking for an experienced Applied AI Solution Architect to join our team. The successful candidate will be an integral part of our team and will be responsible for providing technical consulting services to our clients. As a consultant, you will be able to envision, build, deploy and operationalize an end-to-end machine learning (ML) and AI pipeline.
 
 
 The successful candidate must have a solid technical background in the workflow and pipeline architectures of ML and deep learning. Other responsibilities will include providing guidance to clients on business requirements and developing solutions based on best practices and industry trends.
 
 
 The ideal candidate must have superior communication and problem-solving skills, as well as deep expertise in advanced analytics tools (such as SAS, R and Python) along with applied mathematics, ML and Deep Learning frameworks (such as TensorFlow) and ML techniques (such as random forest and neural networks). They must also have a passion for delivering solutions that exceed the needs of our clients.
 
 
 We are looking for someone who is a team player, proactive, and able to effectively manage multiple tasks. The successful candidate should also have excellent presentation skills and be able to quickly adapt to changing customer requirements.
 
 
 If you believe you have the skills and experience to become a successful part of our team, we would be delighted to hear from you.
 
 
 Creating technical architectures and choosing ideal tools &amp; technologies - Developing and implementing AI models and algorithms - Planning for the integration of newly created solutions into the existing ecosystem - Translating the suggestions of stakeholders and BAs into technical language by elaborating the vision of the project - Work closely with security and risk leaders to foresee and overturn risks - Collaborate with data scientists and AI professionals to augment digital transformation efforts - Keep up to date with new technologies and solutions that can add value
 
 
 
 Requirements
 
 : - Degree in Computer Science or related field - Minimum 8+ years of experience in Applied AI Solution Architecture - Proficiency in machine learning frameworks such as TensorFlow, Keras, and PyTorch - Experience with programming languages such as Python, Java, and C++ - Familiarity with cloud computing platforms such as AWS, Azure, and Google Cloud - Experience with big data technologies such as Hadoop and Spark - Knowledge of data warehousing and ETL tools - Excellent problem solving and communication skills - Ability to work independently as well as in a team - Ability to handle customer queries and provide timely solutions
 
 
 
 Preferable
 
 : To have a minimum of a master&rsquo;s degree in computer science, data science or an AI-related discipline. You will need a proven track record of implementing machine-learning solutions, development in multiple languages and statistical analysis. You will also need to be familiar with a whole host of other approaches used in practical applications of machine learning.
 
 
 
 What we offer:
 
 Flexible working arrangements (Flex-work, Home Office) Refer-a-Friend &ndash; get a bonus in the employee referral program Wide range of leading-edge trainings (including language courses) Family Medical Insurance Yearly Bonus At PwC, The skills we look for in future employees. All our people need to demonstrate the skills and behaviors that support us in delivering our business strategy. This is important to the work we do for our business, and our clients. These skills and behaviors make up our global leadership framework, &lsquo;The PwC Professional&rsquo;. The PwC Professional focuses on five core attributes; whole leadership, business acumen, technical and digital, global and inclusive, and relationships. We use this framework to recruit, develop and assess our people, at all grades and all areas of our business, because we expect all of our people to be leaders.
 
 
 
 Whole leadership
 
 : The ability to lead yourself and others to make a difference and create a positive impact in a responsible, authentic, resilient, inclusive and passionate manner.
 
 
 
 Global acumen:
 
 The ability to operate and collaborate effectively with a mindset that transcends boundaries and embraces diverse perspectives.
 
 
 
 Technical and Digital :
 
 Focus on fast growing technologies and how to make use of them towards digital transformation.
 
 
 
 Business acumen:
 
 The ability to bring business knowledge, innovation and insight to create distinctive value for clients and PwC.
 
 Relationships:
 
 The ability to build relationships of high value which are genuine and meaningful.
 
 
 
 Education
 
 
 (if blank, degree and/or field of study not specified)
 
 
 
 Degrees/Field of Study required:Degrees/Field of Study preferred:
 
 
 
 Certifications
 
 
 (if blank, certifications not specified)
 
 
 
 
 Required Skills
 
 
 
 
 Optional Skills
 
 
 
 
 Desired Languages
 
 
 (If blank, desired languages not specified)
 
 
 
 
 Travel Requirements
 
 
 
 0%
 
 
 
 Available for Work Visa Sponsorship?
 
 
 
 No
 
 
 
 Government Clearance Required?
 
 
 
 No
 
 
 
 Job Posting End Date
 
</div>

ETIC, AI Solution Architect- Manager

Colas Rail Egypt كولاس ريل مصر

<div>
 Mission
 
 
 Is responsible, within an Operating Unit (in French: U.E.: Unit&eacute; d&rsquo;Exploitation), for the execution of the work or the job(s) entrusted to him/her.
 
 
 Main Responsibilities
 
 
 <ul>
 <li>
 Ensures that the health, safety and environmental rules are respected and applied and informs his/her manager of any malfunctions
 </li>
 <li>
 Demonstrates exemplary behavior in his field of work: with regard to customers, safety and the environment
 </li>
 <li>
 Prepares the job: resource planning, layouts, signage and tracing. Monitors the construction process, and ensures that projects are completed on time and according to specifications
 </li>
 <li>
 Participates in the preparation and budget monitoring of the job: assessment of income and expenditure
 </li>
 <li>
 Manages and follows the progress of the job: management of contingencies and feedback, corrective measures in case of deviations, schedule, orders, deliveries, stocks, etc.
 </li>
 <li>
 Represents the company with all stakeholders of the job: guarantees the company's image and responds to the customer's requests
 </li>
 <li>
 Leads the team according to the project manager's instructions, allocates tasks and ensures the integration and training of new recruits, conducts interviews and assesses his/her employees
 </li>
 <li>
 Guarantees the quality of the job for its acceptance, conducts final inspection of construction projects
 
 
 </li>
 </ul>
 Profile
 
 
 Typically requires a bachelor&rsquo;s degree and at least 2-3 years of experience
</div>

Workshop Supervisor

Envision Employment Solutions

<div>
 
 
 Envision Employment Solutions
 
 is currently hiring a
 
 Senior Data Science Engineer
 
 on behalf of one of our partners, a leader in the retail Motor Vehicles field.
 
 
 
 
 
 
 About the Role:
 
 
 
 We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions in solving pricing problems. Your primary focus will be on applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products.
 
 
 You will be someone who enjoys working in a fast-paced environment, with a hands-on attitude and a data-driven mindset, sharing fresh ideas for how to improve profitability.
 
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Use data to create new, scalable solutions for business pricing problems.
 </li>
 <li>
 Design experiments, measure results and provide a point of view in decision-making.
 </li>
 <li>
 Develop and implement advanced analytics and machine learning models to solve complex business problems.
 </li>
 <li>
 Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions.
 </li>
 <li>
 Ensure the quality and integrity of data used for analysis and modeling.
 </li>
 <li>
 Stay up-to-date with the latest trends and advancements in data science and machine learning.
 </li>
 <li>
 Oversee the deployment of machine learning models into production environments.
 </li>
 <li>
 Maintain documentation of data science processes and methodologies.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 4 to 5 years in a data science role
 </li>
 <li>
 Strong drive to learn, experiment, and drive outcomes.
 </li>
 <li>
 Strong background in statistical analysis and machine learning.
 </li>
 <li>
 Proficiency in programming languages such as Python or R.
 </li>
 <li>
 Experience with data visualization tools (e.g., Tableau, Power BI).
 </li>
 <li>
 Experience with building custom deep learning models (using pytorch).
 </li>
 <li>
 Experience with optimization, routing and task assignment problems.
 </li>
 <li>
 Experience with building web API interfaces to serve Data Science model through Flask or FastAPI is a
 
 PLUS
 
 .
 </li>
 <li>
 Experience with Google Big Query, and Vertex API is a plus.
 </li>
 <li>
 Advanced SQL Experience, ability to query complex data correctly and efficiently.
 </li>
 <li>
 Excellent knowledge of data wrangling and preprocessing techniques.
 </li>
 <li>
 Strong problem-solving skills and ability to think critically.
 </li>
 <li>
 Excellent communication skills, with the ability to present complex information clearly and concisely.
 </li>
 <li>
 A proactive and innovative mindset, with a strong attention to detail.
 </li>
 <li>
 Having an automotive background is a
 
 PLUS
 
 .
 </li>
 </ul>
</div>

Senior Data Science Engineer

ISS INTERNATIONAL SpA

<div>
 ISS International SpA is looking for nr. 2
 
 Civil Engineers
 
 for a job in Egypt
 
 
 The activity concerns MELEIHA PHASE II development project.
 
 
 
 Job description:
 
 
 
 Involves bridging the gap between project design and execution, by preparing technical documents, managing project information, ensuring compliance with codes and specifications, and supporting site activities. Responsibilities include reviewing drawings, performing quantity take-offs, preparing cost estimates, coordinating with various project stakeholders, resolving technical issues, replying to RFI, and maintaining project records.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Documentation &amp; Drawings: review, and coordinate shop drawings, as-built drawings, and other technical documents.
 </li>
 <li>
 Technical Studies: review technical and feasibility studies and prepare documents that meet technical specifications.
 </li>
 <li>
 Cost &amp; Quantity Management: review quantity surveys, review Bill of Quantities (BOQs), review costs, and manage cost control.
 </li>
 <li>
 Project Coordination: Collaborate with project managers, site engineers, consultants, contractors, and suppliers to ensure project requirements are met.
 </li>
 <li>
 Provide solutions for technical issues that arise during the construction phase and respond to Requests for Information (RFIs).
 </li>
 <li>
 Ensure all project work complies with local codes, standards, regulations, and safety requirements.
 </li>
 <li>
 Monitor daily progress, analyze data, and prepare regular reports and updates for senior management.
 </li>
 <li>
 Assist with material submittals, and coordinate with procurement teams to ensure timely delivery of materials.
 </li>
 <li>
 Maintain organized records of project documentation, correspondence, and approvals.
 
 
 </li>
 </ul>
 I summarize below main details and terms of our offer:
 
 
 <ul>
 <li>
 Location of Job: Meleiha Site, Egypt;
 </li>
 <li>
 Period: from 01/11/2025 till 31/12/2025 (2 month). with an &ldquo;high probability&rdquo; of extension till 01/03/2026;
 </li>
 <li>
 Working schedule: 10 hours / 7 days a week;
 </li>
 <li>
 Rotation: 30 days ON / 10 days OFF (including travel days);
 </li>
 </ul>
</div>

Civil Engineer

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