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data engineer (m/w/d) Jobs in Cairo Egypt

data engineer (m/w/d)

business analytics analyst Jobs in Cairo Egypt

business analytics analyst

data analytics

data engineer

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>

Data Scientist

Monks

<div>
 Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers).
 
 
 
 About The Role
 
 
 
 As a Data Scientist at Monks, you will work on designing, developing, and deploying Machine Learning (ML) and Generative AI (GenAI) models aimed at optimising marketing effectiveness. You will collaborate closely with senior data scientists to build scalable solutions, leveraging public cloud platforms such as GCP, AWS, or Azure.
 
 
 You should have a strong foundation in data literacy and the ability to interpret technical concepts into practical business insights. Ideally, you have some experience in marketing or product data science, coupled with a strong foundation of machine learning, statistics, and cloud technologies. While the role mainly focuses on data science, it also offers opportunities to tap into data engineering projects.
 
 
 This role spans across the EMEA and MENA regions and involves close collaboration with our Analytics, Strategy, and Solutions Engineering teams. We offer a dynamic and challenging work environment at the forefront of AI-driven innovation in marketing. If you're passionate about pushing the boundaries of what&rsquo;s possible, we encourage you to apply!
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Assist in designing, developing, and deploying Machine Learning (ML) and Generative AI (GenAI) models on cloud platforms such as AWS and GCP.
 </li>
 <li>
 Support the development and implementation of predictive models, such as propensity and churn models, to drive predictive insights and enhance decision-making.
 </li>
 <li>
 Contribute to the design of GenAI architectures using APIs like ChatGPT and Gemini, integrated with LangChain libraries.
 </li>
 <li>
 Write SQL queries to extract insights from large datasets
 </li>
 <li>
 Conduct statistical analysis, including A/B testing.
 </li>
 <li>
 Support in API authentication and automating ETL processes for data integration and transformation in cloud environments.
 </li>
 <li>
 Contribute in implementing and managing data models using tools like dbt and Dataform to convert raw data into structured formats for data warehousing and machine learning applications.
 </li>
 <li>
 Learn to navigate the lifecycle of a data science project, understanding trade-offs between model accuracy, deployment cost, and data availability.
 </li>
 <li>
 Follow and contribute to the documentation and best practices for building and deploying machine learning models to ensure consistency and scalability.
 </li>
 <li>
 Communicate basic technical concepts and results to both technical and non-technical stakeholders, including clients.
 
 
 
 </li>
 </ul>
 
 About You
 
 
 
 The essentials:
 
 
 
 <ul>
 <li>
 Bachelor or Masters in a quantitative subject such as Data Science, Computer Science, Mathematics, Statistics, or a related field.
 </li>
 <li>
 1+ years of working experience in data science or data engineering or a related field.
 </li>
 <li>
 Familiarity in designing and deploying cloud solutions on platforms such as GCP or AWS.
 </li>
 <li>
 Associate Cloud Certification such as GCP Cloud Architect, Data Engineer, or any equivalent.
 </li>
 <li>
 Strong proficiency in Python and SQL.
 </li>
 <li>
 Solid understanding of statistics, machine learning algorithms and Gen-AI applications, with a strong interest in learning more.
 </li>
 <li>
 Good understanding of APIs, including authentication methods (e.g., API keys, OAuth), with a curiosity to explore and troubleshoot.
 </li>
 <li>
 Awareness of data modelling tools such as dbt or Dataform.
 </li>
 <li>
 Good understanding of data warehousing and ETL concepts, with exposure to tools like Amazon Redshift or Google BigQuery being beneficial.
 </li>
 <li>
 Fluent English communication and written skills.
 </li>
 <li>
 Strong analytical and problem-solving skills with the ability to work independently and in a team environment.
 
 
 
 </li>
 </ul>
 
 Not a Must, But a Plus
 
 
 
 
 <ul>
 <li>
 Bachelor or Masters Degree in Data Science.
 </li>
 <li>
 Previous agency or consultancy experience is a plus.
 </li>
 <li>
 Professional Cloud Certification.
 </li>
 <li>
 Familiarity with marketing analytics tools and data (e.g. Google Analytics, Adobe Analytics).
 </li>
 <li>
 Awareness of MLOps, CI/CD and version control tools.
 </li>
 <li>
 Familiarity with social data (e.g. Instagram, Facebook, Tiktok).
 </li>
 <li>
 Knowledge of digital advertising industry practices and client verticals (retail, finance, etc.) is a plus.
 </li>
 <li>
 Experience with Looker Studio or any visualisation tool.
 
 
 
 </li>
 </ul>
 At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.
 
 
 
 About Monks
 
 
 
 Monks is the global, purely digital, unitary operating brand of S4Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global marketing and technology services to accelerate business possibilities and redefine how brands and businesses interact with the world. Its integration of systems and workflows delivers unfettered content production, scaled experiences, enterprise-grade technology and data science fueled by AI&mdash;managed by the industry&rsquo;s best and most diverse digital talent&mdash;to help the world&rsquo;s trailblazing companies outmaneuver and outpace their competition.
 
 
 Monks was named a Contender in The Forrester Wave&trade;: Global Marketing Services. It has remained a constant presence on Adweek&rsquo;s Fastest Growing lists (2019-23), ranks among Cannes Lions' Top 10 Creative Companies (2022-23) and is the only partner to have been placed in AdExchanger&rsquo;s Programmatic Power Players list every year (2020-24). In addition to being named Adweek&rsquo;s first AI Agency of the Year (2023), Monks has been recognized by Business Intelligence in its 2024 Excellence in Artificial Intelligence Awards program in three categories: the Individual category, Organizational Winner in AI Strategic Planning and AI Product for its service Monks.Flow. Monks has also garnered the title of Webby Production Company of the Year (2021-24), won a record number of FWAs and has earned a spot on Newsweek&rsquo;s Top 100 Global Most Loved Workplaces 2023.
 
 
 We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents&mdash;and resonates with&mdash;the world around us.
 
 
</div>

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

Systems Limited - Egypt

<div>
 
 
 Job Description:
 
 
 
 We are looking for a
 
 senior data scientist
 
 with strong leadership and hands-on technical skills to join our team in the
 
 banking sector
 
 . The ideal candidate will be responsible for developing and deploying machine learning solutions that address real business challenges, leading analytical initiatives from concept to production, and mentoring junior team members.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Lead end-to-end
 
 data science projects
 
 &mdash;from business understanding and data preparation to model development, validation, and deployment.
 </li>
 <li>
 Design and implement
 
 machine learning and deep learning models
 
 for various banking use cases (credit scoring, fraud detection, customer segmentation, etc.).
 </li>
 <li>
 Deploy and maintain models in
 
 production environments,
 
 ensuring scalability, reliability, and performance.
 </li>
 <li>
 Build automated
 
 model pipelines
 
 , monitor performance, and manage
 
 model drift detection
 
 and retraining.
 </li>
 <li>
 Apply
 
 Explainable AI (XAI)
 
 methods to interpret model decisions and ensure regulatory transparency.
 </li>
 <li>
 Collaborate with cross-functional teams&mdash;data engineering, business analytics, and IT &mdash; to translate business needs into data-driven solutions.
 </li>
 <li>
 Ensure best practices in
 
 MLOps
 
 , version control, and CI/CD for machine learning systems.
 </li>
 </ul>
 
 
 Requirements:
 
 
 <ul>
 <li>
 
 Bachelor&rsquo;s degree
 
 in computer science, information technology, computer engineering, or a related field.
 </li>
 <li>
 
 4+ years of experience
 
 in data science or applied machine learning, preferably in the
 
 banking or financial services domain
 
 .
 </li>
 <li>
 Proficiency in
 
 Python (NumPy, Pandas)
 
 or
 
 R
 
 , and strong
 
 SQL
 
 skills.
 </li>
 <li>
 Expertise with ML/DL frameworks:
 
 Scikit-Learn, TensorFlow, PyTorch, Keras, and Hugging Face
 
 .
 </li>
 <li>
 Hands-on experience with
 
 model deployment
 
 in production environments (not only experimentation).
 </li>
 <li>
 Skilled in
 
 MLflow, Kubeflow, Docker, Kubernetes
 
 , and implementing
 
 CI/CD
 
 pipelines.
 </li>
 <li>
 Experience implementing
 
 performance tracking, monitoring, and drift detection
 
 for models.
 </li>
 <li>
 Strong understanding of
 
 statistical modeling, data visualization, and feature engineering
 
 .
 </li>
 <li>
 Excellent communication skills in
 
 both Arabic and English
 
 .
 </li>
 </ul>
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 
 Master&rsquo;s Degree or Diploma
 
 in Data Science, Statistics, Applied Mathematics, or a related field.
 </li>
 <li>
 Experience working on
 
 AI governance, compliance, and explainability
 
 within banking environments.
 </li>
 </ul>
 
 
</div>

Senior Data Scientist

QuantumBlack, AI by McKinsey

<div>
 
 Who You'll Work With
 
 
 
 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.
 
 
 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.
 
 
 When you join us, you will have:
 
 
 <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>
 
 Your Impact
 
 
 
 You will use data creatively to solve business challenges, often uncovering new and transformative opportunities along the way.
 
 
 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 create new lines of thinking within an infinite number of clients and situations.
 
 
 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.
 
 
 You will be based in our Cairo office as part of our QuantumBlack, AI by McKinsey team, partnering with consultants, clients, and other colleagues.
 
 
 Our QuantumBlack, AI by McKinsey team brings the latest analytical techniques plus a deep understanding of industry dynamics and corporate functions to help clients create the most value from data.
 
 
 
 Your Qualifications and Skills
 
 
 
 <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; fluency in local office language(s) is a plus
 </li>
 </ul>
</div>

Data Scientist - QuantumBlack, AI by McKinsey

Agoda

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

Lead DS (Data Scientist) Bangkok based, Relocation provided

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

Explore 543+ Data scientist in Cairo Egypt this November. Find roles across top companies and apply now to boost your career.

543 data scientist jobs IN Cairo Egypt

Data Scientist

Data Scientist

Data Scientist II

Senior Data Scientist

Data Scientist - QuantumBlack, AI by McKinsey

Lead DS (Data Scientist) Bangkok based, Relocation provided

Senior Data Science Engineer