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applied scientist

Microsoft

<div>
 
 Overview
 
 
 
 Our team uses the latest in Generative AI technologies to build models, solutions, and experiences to power search innovations in Microsoft Bing and Microsoft Copilot. We are looking for candidates eager to work on cutting-edge large-scale AI services to power the next-gen AI powered search. In particular, we are seeking candidates who are passionate about Deep Learning and latest AI technologies to light up related scenarios.
 
 
 The successful candidate will participate in collaborations with relevant product and business groups inside or outside of Microsoft and will provide expertise or technology to create business impact by bridging the gap between research (in Microsoft AI [MAI], other Microsoft divisions, or in the community) and the relevant product teams.
 
 
 The ideal candidate will work with limited guidance, to create product impact through deep knowledge of AI and ML and will continuously seek to acquire knowledge of industry trends and advances in applied AI/ML technologies. We are looking for Applied Scientists who can research and develop an understanding of relevant tools, technologies, and methods that can be utilized to improve product quality, performance, or efficiency, while reinforcing a positive &amp; inclusive environment by applying best practices, and producing high quality documentation of the work in progress, as well as experimentation results, and plans, along the way. An Applied Scientist should understand and follow ethics and privacy policies when executing research processes and/or collecting data/information.
 
 
 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.
 
 
 Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Prepares data to be used for analysis by reviewing criteria that reflect quality and technical constraints. Reviews data and suggests data to be included and excluded. Describes actions taken to address data quality problems. Assists with the development of useable datasets for modeling purposes. Supports the scaling of feature ideation and data preparation. Helps take cleaned data and adapts for machine learning purposes, under the direction of a senior team member. Seeks guidance from senior team members when confronted with problems/challenges.
 </li>
 <li>
 Uses machine learning algorithms that structures, analyzes, and uses data in product and platforms to train algorithms for scalable artificial intelligence solutions before deploying. Begins to develop new machine learning improvements independently while under the direction of a senior team member.
 </li>
 <li>
 Collaborates to leverage data to identify pockets of opportunity to apply state-of-the-art algorithms to improve a solution to a business problem. Uses statistical analysis tools for evaluating Machine Learning models and validating assumptions about the data while also reviewing consistency against other sources. Begins to independently run basic descriptive, diagnostic, predictive, and prescriptive statistics. Assists with the communication of insights under the direction of senior team members.
 </li>
 <li>
 Supports the application and use of intelligence created during the training of algorithms for deployment. Seeks information about large-scale computing frameworks, data analysis systems, and modeling environments to improve models. Helps create a model, apply the model to real products, and then verify effects through iterations. Helps with experiments by putting multiple models in production and evaluating their performance. Sets up monitoring and implementation to track production models, under the direction of a senior team member. Addresses models when that break, under the direction of others.
 </li>
 <li>
 Leverages or designs and uses machine learning/data extraction, transformation, and loading (ETL) of pipelines (e.g., data collection, cleaning) based on data prepared.
 
 
 </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 OR equivalent experience.
 
 </li>
 </ul>
 </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>
 <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>
 <ul>
 <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>
 Knowledge of one or more ML/DL frameworks and a deep understanding of the different types of algorithms and their applications with hands-on experience in implementing at least a few of the solutions.
 </li>
 <li>
 Solid problem solving and debugging skills.
 
 </li>
 </ul>
 #MicrosoftAI
 
 
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Applied Scientist

Andela

<div>
 
 
 About Andela
 
 
 
 Andela exists to connect brilliance and opportunity. Since 2014, we have been dedicated to breaking down global barriers and accelerating the future of work for both technologists and organizations around the world. For technologists, Andela offers competitive long-term career opportunities with leading organizations, access to a global community of professionals, and educational opportunities with leading technology providers.
 
 
 
 
 
 At Andela, we&rsquo;re deeply passionate about creating long-lasting and transformative growth opportunities for all - and doing it in an E.P.I.C. way! We&rsquo;re excited to continue building our remote-first team with incredible people like you. After applying for this role, you will join our Andela Community of brilliant technologists by passing a technical screening and live interview. As a community member, you&rsquo;ll have access to many exclusive technologist roles. Join Andela today to access this opportunity and more in our global marketplace!
 
 
 
 
 
 Our roles are typically filled at lightning speed, so if you&rsquo;re considering applying, get your application in quickly!
 
 
 
 
 
 -- 100% Remote
 
 
 -- Full-time
 
 
 -- Long-term
 
 
 -- Payment in USD
 
 
 
 
 
 
 
 
 
 About
 
 
 
 The Lead Data Scientist is a technical leadership role focused on applying advanced analytics, machine learning (ML), GenAI, and statistical modeling to solve complex business problems. This role typically involves hands-on development of predictive models, algorithms, and deep data insights, as well as leading a team of data scientists from early model development through to production.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning models, AI algorithms, and statistical analyses to address business challenges (e.g., predictive analytics, recommendation, hyper-personalization, fraud detection, etc.).
 </li>
 <li>
 Lead a team of data scientists, providing technical guidance and mentoring on model development, experimentation, and implementation.
 </li>
 <li>
 Partner with Product, Engineering, Delivery, and Business to integrate data science solutions into production systems.
 </li>
 <li>
 Identify relevant datasets, perform data mining, and ensure data quality for modeling purposes.
 </li>
 <li>
 Communicate insights and model outcomes to technical and non-technical stakeholders to drive business decisions.
 </li>
 <li>
 Define project roadmaps&mdash;from ideation and experimentation to production deployment and monitoring&mdash;ensuring alignment with business goals.
 </li>
 <li>
 Build robust predictive and prescriptive models (classification, regression, clustering, time-series, GenAI, etc.).
 </li>
 <li>
 Continuously explore, pilot new methods and select proper modeling&mdash;Deep Learning, NLP, GenAI, LLMs, XAI&mdash;and promote best practices.
 </li>
 <li>
 Describe AI models using Explainable AI.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 BSc in Computer Science, Information Technology, Computer Engineering, or related field.
 </li>
 <li>
 7+ years of experience leading projects and teams in data science.
 </li>
 <li>
 Experience in delivering similar projects in the banking sector.
 </li>
 <li>
 Proficiency in Python (or R), SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
 </li>
 <li>
 MUST: Experience deploying models in production environments, not only solution development.
 </li>
 <li>
 Preferred: Master&rsquo;s or Diploma in Data Science, Statistics, Applied Mathematics, or related field.
 </li>
 <li>
 Fluency in Arabic and English.
 </li>
 </ul>
 
 
 
 
 
 Working Hours:
 
 9 AM - 5 PM,
 
 
 6 hours overlap with UTC+2
 
 
 
 Contract details: Long-Term Renewable Contract position with Andela
 
 
 
 
 
 
 
 At Andela,
 
 we know our strengths lie in our diverse community whose talents, perspectives, backgrounds, and orientations we take pride in. Andela is committed to nurturing a work environment where all individuals are treated with respect and dignity. Everyone has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits discriminatory practices. Andela provides equal employment opportunities to all employees and applicants without regard to factors including but not limited to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, pregnancy (including breastfeeding), genetic information, HIV/AIDS or any other medical status, family or parental status, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws. This commitment applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Our policies expressly prohibit any form of harassment and/or discrimination, as stated above.
 
 
 
 
 
 
 Andela is home for all. Come as you are
 
 
</div>

Senior Data Engineer

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

Celfocus

<div>
 
 Make an impact
 
 by working for sectors where technology is the enabler, everything is ground-breaking and there&rsquo;s a constant need to be innovative.
 
 
 
 Create and enhance projects
 
 in Java, Python, Angular, PHP, .NET and so much more while diving in the world of Blockchain, Artificial Intelligence, Data Science, Security and Internet of Things.
 
 
 
 Be part of the team
 
 that combines business knowledge, technological edge and a design experience. Our different backgrounds and know-how are key in developing solutions and experiences for digital clients.
 
 
 
 Face challenges
 
 and learn other ways of thinking and seeing the world - there&rsquo;s always room for your energy and creativity.
 
 
 
 About The Role
 
 
 
 As a Senior Data Scientist, you will be responsible for leading the design of solutions and managing the teams developing them within a project. You will also be responsible for selecting a team with the appropriate skillset or alternatively ensuring that the team acquires the required capabilities in due time. You must also ensure proper solution delivery, monitoring, and governance using MLOps.
 
 
 
 As a part of your job, you will:
 
 
 
 <ul>
 <li>
 Leverage data and domain knowledge to solve business problems and create quantifiable value.
 </li>
 <li>
 Work cross-functionally to define problem statements, collect data, build analytical models, and design suitable solutions.
 </li>
 <li>
 Build and maintain (or lead the development of) data-driven optimization models, experiments, forecasting algorithms, and capacity constraint models.
 </li>
 <li>
 Lead teams into delivering models using best MLOps practices.
 </li>
 <li>
 Communicate final recommendations and support decision-making.
 
 
 
 </li>
 </ul>
 
 What are we looking for?
 
 
 
 <ul>
 <li>
 Degree in an analytical field (e.g., Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science);
 </li>
 <li>
 Scripting with Python and nice to have one of these languages (e.g., Pyspark, Spark-mllib);
 </li>
 <li>
 Experienced with packages such as NumPy, SciPy, Pandas, Scikit-learn, matplotlib, and tensorflow/pytorch;
 </li>
 <li>
 4-5 Years of project experience as a Data Scientist;
 </li>
 <li>
 Professional experience with Java, Scala, or Spark;
 </li>
 <li>
 Experience working with and leading teams in a project environment;
 </li>
 <li>
 Experience in delivering projects using MLOps best practices.
 
 
 
 </li>
 </ul>
 
 Nice to have:
 
 
 
 <ul>
 <li>
 1+ years of SQL experience;
 </li>
 <li>
 Experience in distribution-based architectures such as Cloudera, AWS, Microsoft Azure Cloud, and GCP (Google Cloud Platform), among others;
 </li>
 <li>
 Knowledge of Data Governance.
 
 
 
 </li>
 </ul>
 
 Personal traits
 
 
 
 <ul>
 <li>
 Ability to adapt to different contexts, teams and Clients;
 </li>
 <li>
 Teamwork skills but also a sense of autonomy;
 </li>
 <li>
 Motivation for international projects and ok if travel is included;
 </li>
 <li>
 Willingness to collaborate with other players;
 </li>
 <li>
 Strong communication skills.
 
 
 
 </li>
 </ul>
 At Celfocus, we are committed to cultivate a diverse and inclusive workplace. As an equal-opportunity employer, we welcome applicants of all backgrounds, gender identities, and abilities. We are dedicated to providing reasonable accommodations for candidates with specific needs. If you require any adjustments during the selection process, please inform our Talent Acquisition Team.
 
 
 
 Come join the Team!
 
 
 
 
 Celfocus is pioneering the future of business through Next-Gen Intelligence - the convergence of data, AI, and human creativity to build more autonomous and adaptive organisations.
 
 
 
 Guided by our core belief - Making Data Actionable - we partner with leading companies to co-create intelligent solutions that turn data into insight, agility, and business value.
 
 
 Operating in over 25 countries, we bring together business experts, data scientists, and AI engineers to turn complexity into clarity and vision into measurable impact.
 
 
 Founded in 2000, Celfocus is part of Novabase, listed on Euronext Lisbon.
 
 
 To know more, visit www.celfocus.com
</div>

Senior Data Scientist

51Talk

<div>
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Oversee and manage office administrative functions and ensure efficiency in daily operations.
 </li>
 <li>
 Support department heads with scheduling, travel arrangements, document preparation, and meeting coordination.
 </li>
 <li>
 Maintain accurate records, contracts, and internal documentation in compliance with company policies.
 </li>
 <li>
 Liaise with vendors and external service providers to ensure the timely procurement of supplies and services.
 </li>
 <li>
 Organise internal and external events, training, and company meetings.
 </li>
 <li>
 Prepare regular reports, presentations, and communications for senior management.
 </li>
 <li>
 Contribute to the improvement of administrative systems and procedures.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business Administration or related field.
 </li>
 <li>
 Minimum 3 years of administrative experience.
 </li>
 <li>
 
 Proficient in English listening, speaking, reading, and writing skills, which can be applied to work and communication.
 
 </li>
 <li>
 Strong communication, coordination, and problem-solving skills.
 </li>
 <li>
 Proficient in Microsoft Office Suite and other business tools.
 </li>
 <li>
 Ability to work independently and handle confidential information with discretion.
 </li>
 <li>
 Experience in multinational or fast-paced environments is a plus.
 </li>
 </ul>
 
 
</div>

Administrative Specialist(English Must)

Premier Services and Recruitment

<div>
 
 
 Job Title:
 
 Marketing Teacher
 
 
 
 Work Location:
 
 El Mokattam, Cairo
 
 
 
 
 
 
 Job Summary:
 
 The Marketing Teacher is responsible for delivering high-quality marketing education to students, combining theoretical knowledge with practical, real-world applications. The role focuses on developing students&rsquo; understanding of marketing concepts, digital marketing tools, market analysis, and customer engagement strategies in alignment with the school&rsquo;s applied technology approach.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Deliver engaging marketing lessons aligned with the approved curriculum.
 </li>
 <li>
 Explain core marketing concepts, including branding, consumer behavior, market research, and digital marketing.
 </li>
 <li>
 Integrate practical activities, case studies, and real-world examples into lessons.
 </li>
 <li>
 Guide students in developing marketing projects and presentations.
 </li>
 <li>
 Assess student performance through assignments, projects, and evaluations.
 </li>
 <li>
 Support students in building practical marketing and communication skills.
 </li>
 <li>
 Collaborate with academic teams to continuously improve the marketing curriculum.
 </li>
 <li>
 Utilize modern teaching tools and digital platforms to enhance learning.
 </li>
 <li>
 Participate in training, meetings, and school development initiatives when required.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in marketing, Business Administration, or a related field.
 </li>
 <li>
 Previous teaching or training experience is preferred (fresh graduates with strong skills are welcome).
 </li>
 <li>
 Good understanding of marketing principles and digital marketing fundamentals.
 </li>
 <li>
 Ability to explain concepts clearly and engage students effectively.
 </li>
 <li>
 Good command of English (spoken and written).
 </li>
 <li>
 Strong presentation, communication, and classroom management skills.
 </li>
 </ul>
 
 
 
 
 
 Skills &amp; Competencies
 
 
 <ul>
 <li>
 Marketing Fundamentals
 </li>
 <li>
 Digital Marketing Basics
 </li>
 <li>
 Presentation &amp; Teaching Skills
 </li>
 <li>
 Student Assessment
 </li>
 <li>
 Communication &amp; Engagement
 </li>
 <li>
 Creativity &amp; Practical Thinking
 </li>
 <li>
 Time Management
 </li>
 </ul>
 
 
</div>

Marketing Teacher

SSC HR Solutions

<div>
 In a software development company developing different products, your role will be to gather requirements from potential customers and the market. You will have to analyze these requirements and formalize them in a structured, precise, and objective form. Then using the knowledge of our client's products, and in coordination with the technical team, you will propose the best way to fulfil these requirements in a way that can satisfy as many customers as possible, and that keeps specific requests in isolated customization modules. Finally, you will have to handle the communication with the customers, their users and their business experts.
 
 
 In general, your role is to ensure customer satisfaction while maximizing the return on investment by proposing reusable solutions that can be applied to as many customers as possible.
 
 
 You will work in close relationship with the technical team.
 
 
 
 Job Requirements
 
 
 
 <ul>
 <li>
 You have a good ability at analyzing and formalizing things
 </li>
 <li>
 You have a good abstraction skill, with the capacity to conceptualize information, and present it in a clear and formal way
 </li>
 <li>
 You are a good communicator, who can talk a simple non-technical language when dealing with the customer, and a structured formal language when dealing with the developer
 </li>
 <li>
 You have a good level in English, and in particular in writing an experience in the health or the education field is a plus
 
 
 </li>
 </ul>
 
 POSITION CLASSIFICATION
 
 
 
 <ul>
 <li>
 JUNIOR: You have a bachelor's degree where you have demonstrated your capacity of analysis, abstraction and conceptualization, as well as you writing skills
 </li>
 <li>
 MID LEVEL: You have at least an experience of 2 years in a similar position
 </li>
 <li>
 SENIOR: You have at least an experience of 3 years in a similar position
 </li>
 </ul>
</div>

Business Analyst

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