Senior Data Scientist at b_labs | Cairo

At b_labs, the innovation and digitization division of B.TECH, we are on a transformative journey to revolutionize the consumer electronics and appliances industry. As a pivotal player in the Egyptian retail landscape, we are committed to establishing B.TECH as the premier omni-channel platform in Egypt. Joining our team means immersing yourself in a dynamic…

Role overview The Mobile Category Manager at b-tech plays a key part in shaping the company’s mobile product direction. Based in Cairo, this position centers on understanding the mobile market and tracking consumer trends. The aim is to strengthen b-tech’s mobile portfolio and support both sales growth and customer satisfaction. What you will do Analyze the mobile market and study consumer behavior to guide product choices. Collaborate with teams across b-tech to ensure the mobile assortment matches market needs and business objectives. Contribute to refining mobile product offerings to help drive sales and improve customer satisfaction. Location This role is based in Cairo, Cairo Governorate, Egypt.

About Us:At Goodie, we empower leading brands to navigate the complexities of AI search. With billions relying on systems like ChatGPT, Perplexity, and Gemini for product discovery and purchasing decisions, it's crucial for brands to effectively manage and influence their online representation.Our platform offers a comprehensive AI control plane, delivering real-time insights into brand narratives, competitor visibility, and an optimization engine designed to enhance performance. As pioneers in this emerging category, we are rapidly expanding, supported by esteemed investors and trusted by top-tier clients. We seek innovative, driven individuals to help us shape the future of AI search.Your Role:We are seeking a passionate and skilled Data Scientist to join our dynamic team at Goodie AI. In this role, you will be pivotal in transforming complex multi-model signals into actionable measurements, forecasts, and optimizations that drive our product strategies. If you thrive on building impactful models that influence customer behavior, this opportunity is for you.Responsibilities:Manage and process large datasets, ensuring efficient querying, cleaning, labeling, and taxonomy alignment for brands, SKUs, and categories.Develop sampling and classification techniques to convert noisy LLM outputs and crawler logs into meaningful brand and product insights.Utilize LLMs and NLP to extract structured data from unstructured text on a large scale, focusing on topics like query fan-out, sentiment analysis, citation extraction, and entity linking.Establish product-grade metrics, creating clear definitions for visibility score, answer coverage, product presence, and agentic checkout readiness.Design and execute experimentation frameworks including A/B tests, holdouts, counterfactuals, and uplift modeling to measure impacts on citations, share of voice, and conversion rates.Build and refine predictive models to analyze and forecast behavior in AI search across different models and surfaces.Translate complex analytical findings into actionable insights, collaborating with the founding team to inform product roadmap, pricing, and customer engagement strategies.Create evaluation harnesses, implementing automatic evaluations and human-in-the-loop labeling for model quality, bias detection, and drift monitoring across LLM providers.Develop anomaly detection systems to monitor crawler behavior, rankings, and feed health, proactively identifying issues before they affect our customers.

The Bank is undergoing a remarkable transformation into an AI-driven institution, reshaping the way we engage with our customers and leading the evolution of financial services. By harnessing our extensive heritage and expertise, we are developing a data-centric powerhouse that anticipates customer needs, tailors experiences, and enhances operational efficiency. Our commitment to deploying AI translates into real-world benefits that positively impact every Egyptian. Be a part of our dynamic, hybrid team and play a pivotal role in this thrilling transformation!About the Role: We are seeking a highly skilled Senior Data Scientist to join our expanding team. You will spearhead complex and impactful projects, collaborating with diverse teams to create and implement state-of-the-art AI solutions. This role also involves guiding junior team members and contributing to our overarching AI strategy. Our emphasis on agility, human-centricity, social inclusion, and digital transformation is fundamental to our mission.Key Responsibilities: Oversee the full lifecycle of data science projects, from ideation to implementation. Design and execute advanced machine learning models and algorithms. Conduct sophisticated data mining and analysis to uncover trends, patterns, and insights. Lead the optimization, deployment, and scaling of AI models. Effectively communicate findings and strategic recommendations to senior management and stakeholders. Foster innovation in data science methodologies and tools.

About UsAt Infomineo, we are a trailblazing global research company leveraging advanced AI technologies to reshape how businesses access and harness critical intelligence. Our evolution from traditional business research outsourcing to a strategic partner is powered by a blend of cutting-edge artificial intelligence and seasoned human expertise. We proudly offer three core services to our esteemed global clientele, which includes leading consulting firms, Fortune 500 companies, and governmental organizations: AI and Data Advisory, Next-Gen Insights, and Resource Scaling. Our success is underpinned by three pillars of excellence: a team of over 350 industry experts across five offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona), our proprietary AI orchestrator, and an extensive repository of knowledge that includes over 500,000 delivered case studies and comprehensive database subscriptions.Are you ready to elevate your career with us?About This RoleThis position offers a unique opportunity to spearhead high-value data and analytics projects, crafting innovative solutions that deliver substantial benefits to our clients within a dynamic service company.Key ResponsibilitiesAssist businesses in their decision-making processes for data-driven initiatives through the following:Collaborating on the design of technical solutions for data collection, analysis, and result presentation.Recommending strategic solutions to address business challenges.Effectively presenting results in a clear, concise manner.Data Acquisition & PreparationWorking alongside Data Scientists to clean and prepare datasets.Collecting and transforming data from diverse sources in big data environments.Data AnalysisProviding insightful data visualizations to support business decision-making.Analyzing and interpreting data to uncover complex relationships and trends.Enhancing data exploration through machine learning techniques.DeploymentIntegrating analytics models into the client's information systems.Supporting IT teams throughout the production, maintenance, and updating phases of developed models.

Join Us in Redefining Banking with Artificial Intelligence!At our bank, we are pioneering the shift towards an AI-driven future, transforming the way we engage with our customers and shaping the landscape of finance. With a legacy steeped in tradition, we are evolving into a data-centric powerhouse that anticipates customer needs, personalizes interactions, and streamlines operations. We're not merely discussing AI; we are actively implementing it, witnessing significant impacts that resonate with every Egyptian. Be part of our agile, hybrid team and lead this exciting revolution!About the Position: We are seeking a visionary Lead Data Scientist to spearhead our expanding team. In this pivotal role, you will define the overarching AI strategy and roadmap, oversee the development and rollout of innovative AI solutions, and guide a talented group of data scientists. Our focus on agility, human-centric approaches, social inclusivity, and digital transformation shapes our strategic direction.Key Responsibilities:Formulate and implement an AI strategy aligned with our business roadmap.Lead a team of data scientists to successfully execute and deliver on the roadmap.Supervise the design and deployment of machine learning models across diverse use cases.Collaborate with senior leadership and stakeholders to discover avenues for AI innovation.Assess and communicate the value and impact of AI initiatives within the organization.Stay informed on the latest advancements in AI and machine learning to ensure our bank remains at the forefront of the industry.Required Qualifications:Minimum of 5 years of experience in Data Science, including at least 2 years in a leadership capacity.Proven expertise in the development and implementation of complex AI applications.Demonstrated leadership abilities, with a talent for building and inspiring high-performing teams.In-depth knowledge of statistical modeling, machine learning, and data engineering.Strong communication, presentation, and interpersonal skills.Significant experience applying AI in the financial sector or related industries.Adept at navigating complex and dynamic environments.Preferred Qualifications:An M.Sc. in a relevant field is advantageous.Familiarity with the trade-offs between model accuracy, business impact, and deployment speed.Experience with MLOps practices and tools.Proficiency in handling various data platforms.

About UsWelcome to Foodics! We are a premier restaurant management ecosystem and payment technology provider, established in 2014. With our headquarters in Riyadh and operations spanning five countries—including the UAE, Egypt, Jordan, and Kuwait—we proudly serve customers and partners across over 35 nations. Our cutting-edge products have facilitated the processing of more than 6 billion orders, establishing Foodics as one of the fastest-growing SaaS firms in the MENA region. Recently, we achieved a significant milestone with our third funding round, raising $170 million, which marks the largest SaaS funding in MENA to date, further enhancing our innovation capabilities to better serve business owners.Role OverviewAs a Senior Data Engineer, you will play a pivotal role in designing and constructing robust data pipelines, data contracts, and processing frameworks that drive analytics and machine learning capabilities at Foodics. You will collaborate closely with ML Engineers and platform teams to ensure our data infrastructure is reliable, scalable, and governed effectively.Your ResponsibilitiesArchitect and implement scalable ETL/ELT pipelines utilizing cloud-native solutions.Establish and uphold data contracts with domain squads and internal stakeholders.Partner with ML Engineers to facilitate feature engineering and prepare model-ready datasets.Develop monitoring, alerting, and observability mechanisms for the data infrastructure.Ensure compliance with data security, lineage, and internal governance standards.Contribute to onboarding toolkits and reusable data components.Qualifications We Seek5+ years of experience in data engineering with proven expertise in building scalable pipelines.Proficient in Python, SQL, and orchestration tools such as Airflow, AWS Glue, or Step Functions.Experience with modern Lakehouse architectures and tools (e.g., S3, Redshift, Snowflake, dbt).Strong understanding of data modeling, lineage, observability, and governance frameworks (e.g., dimensional modeling, normalized vs. denormalized structures).Familiarity with ACID-compliant data formats like Apache Iceberg, Delta Lake, or Apache Hudi, and experience managing large-scale datasets with features such as time travel and schema evolution.Expertise in building fault-tolerant, testable, and maintainable pipelines in production settings.Demonstrated ability to collaborate effectively within cross-functional teams, including ML Engineers, Analysts, and Product Managers.Familiarity with CI/CD and infrastructure-as-code tools (Terraform/CDK preferred).Excellent communication skills with a focus on documentation, standards, and continuous improvement.Ideal Candidate TraitsKnowledge of MLOps integration and streaming technologies is a plus.

Join EVA Pharma, a pioneering pharmaceutical organization committed to championing Health and well-being as a fundamental human right. Proudly recognized as a top employer, we are dedicated to cultivating a nurturing and innovative atmosphere for our team.Job Overview:We are on the lookout for a motivated and skilled Data Scientist II to enhance our vibrant team. The successful candidate will play a pivotal role in our efforts to improve human health and well-being while maintaining the highest standards of excellence in our field.Key Duties:Gather, cleanse, and scrutinize both structured and unstructured datasets to extract insights and support data-driven decision-making. Develop and validate predictive models and machine learning algorithms to tackle business and healthcare issues.Utilize advanced techniques such as large language models, fine-tuning, and retrieval-augmented generation to devise generative AI solutions in areas like drug discovery, clinical research, and patient engagement.Perform statistical analyses, identify significant patterns and correlations, and design experiments to test hypotheses and assess impact.Convert analytical results into concise, actionable insights through Power BI dashboards and visual reports that guide strategic and operational decisions.Keep abreast of emerging AI and ML technologies, apply contemporary data science tools to boost efficiency, and collaborate with data engineers to deploy and enhance production-ready models.

Join Our Team!Integrant is on the lookout for innovative thinkers to step into the role of Lead Data Scientist. As a pivotal member of our team, you will be entrusted with the following responsibilities:Utilize your expertise in mathematics, statistics, and computer science to derive actionable insights from a variety of data forms—structured, semi-structured, and unstructured—empowering our clients to make informed, data-driven decisions.Engage in exploratory research to create novel algorithms tailored to meet specific client requirements, particularly for challenges that existing methods cannot address.Collaborate closely with clients to understand their data science needs through thorough requirement gathering.Provide mentorship and guidance to junior data science team members, fostering their professional growth.Deliver robust machine learning models to clients while facilitating knowledge transfer.

About UsWelcome to Foodics! We are a premier restaurant management ecosystem and payment technology provider, established in 2014 and headquartered in Riyadh, with a footprint extending across five countries including the UAE, Egypt, Jordan, and Kuwait. With our innovative solutions, we proudly serve customers and partners in over 35 countries globally, having successfully processed more than 6 billion orders, making Foodics a standout in the rapidly evolving SaaS industry within the MENA region.Overview of the RoleWe are on the lookout for a Senior Data Analyst to join our Optimization Team. This pivotal position centers on leveraging data to enhance product performance, customer experience, and overall business results.Your responsibilities will include leading in-depth analytical investigations, designing and analyzing experiments and A/B tests, and translating complex data into straightforward, actionable insights for product, operations, and leadership teams.Key ResponsibilitiesManage comprehensive analytical projects from inception to completion: define problems, explore data, conduct analyses, and present findings.Design, execute, and assess experiments and A/B tests to gauge the impact of product and business modifications.Write advanced SQL queries to extract, transform, and efficiently analyze large datasets.Conduct deep dives to identify patterns, trends, and root causes influencing business performance.Create and sustain dashboards in Metabase and Looker Studio to track key metrics and experiments.Work closely with Product, Operations, and Business teams to establish success metrics and monitor outcomes.Convert analytical findings into clear presentations and written reports for stakeholders.Evaluate the impact of initiatives and ensure learnings are documented and reusable.Support data-driven decision-making across the Optimization Team.Collaborate with Data Engineering to enhance data quality, specify requirements for modeled tables, and request new data points or pipelines as needed.Partner with Product teams to assess product improvement initiatives, develop data-backed business cases, and prioritize projects based on impact.Collaborate with Customer Support, Sales, and Operations teams to streamline processes, eliminate inefficiencies, and optimize workflows through data.Navigate through incomplete, inconsistent, or noisy data to deliver reliable, decision-ready insights.Ideal Candidate Profile5+ years of experience in data analysis, analytics, or business intelligence roles.Advanced SQL proficiency, including complex joins, window functions, and performance optimization.Strong background in experimentation, A/B testing, and statistical analysis.Demonstrated ability to conduct in-depth analytical investigations and extract actionable insights.

b_labs serves as the transformative and digital innovation arm of B.TECH, dedicated to revolutionizing the industry landscape. As a key player in technological advancement within B.TECH, a pivotal entity in the Egyptian retail sector, we are committed to propelling B.TECH toward its vision of becoming the foremost omni-channel platform for consumer electronics and appliances in Egypt. By joining b_labs, you will thrive in a collaborative startup atmosphere while benefiting from the stability of a company that consistently achieves remarkable growth. You will become a vital member of a forward-thinking, customer-centric team with a bold mission to lead the digital retail transformation across the Middle East.Key Responsibilities:Design, implement, and manage large-scale, reliable data pipelines utilizing Python, SQL, and big data technologies such as Apache Spark and Kafka.Build and refine ETL/ELT processes for data transformation, loading, and integration from diverse sources.Develop and maintain robust data storage solutions leveraging both relational and NoSQL databases, including SQL Server, PostgreSQL, MySQL, and MongoDB.Establish and oversee CI/CD pipelines for data workflows, facilitating automated deployments and version control.Utilize AWS services to create, deploy, and monitor scalable cloud-based data solutions.Employ Apache Airflow for workflow orchestration and use PostHog for analytics tracking and event data management.Enhance data warehousing solutions to meet business intelligence and analytics requirements.Ensure data integrity, consistency, and security across multiple systems and sources.Troubleshoot and optimize data systems for enhanced performance, scalability, and cost efficiency.Foster and contribute to a collaborative, innovative, and agile team culture.

Join our dynamic team at ssc-hr as a Data Scientist Project Manager where you will spearhead the execution of innovative AI and data-driven projects. This pivotal role requires you to manage and coordinate cross-functional teams including data scientists, machine learning engineers, and developers to drive the successful implementation of various AI tools.Your expertise in agile methodologies and modern project management tools such as Click Up and Jira will be essential as you lead daily stand-ups, sprint planning, and retrospectives, ensuring continuous improvement in project delivery.

b_labs serves as the transformative and digitization division of B.TECH, dedicated to revolutionizing the industry landscape. Our focus lies in driving technological innovation at B.TECH, a pillar of the Egyptian retail sector, as we strive to establish ourselves as the foremost omni-channel platform for consumer electronics and appliances in Egypt. By becoming a part of b_labs, you will experience the dynamic atmosphere of a startup while benefiting from the stability of a well-established company that has consistently demonstrated robust growth. You will join a forward-thinking, customer-centric team with a bold objective: to lead the digital retail transformation across the Middle East.

mylo is an innovative fintech platform dedicated to empowering millions of individuals and businesses by offering accessible and responsible financial solutions. Whether you're acquiring a mobile phone, purchasing a stylish jacket, booking a flight, or covering educational expenses, mylo allows you to buy now and pay later at countless points of sale throughout Egypt. Originating from B.TECH—Egypt’s premier electronics and appliance retailer with over 27 years of experience in providing buy now, pay later options—mylo carries a legacy of trust and creative solutions in the fintech realm. All mylo products are fully Sharia-compliant, ensuring ethical and inclusive financial practices.We are on the lookout for a dedicated and skilled Senior Data Engineer to enhance our team within the Fintech sector. This role is perfect for someone who excels in a dynamic environment and is eager to design, build, and scale secure, high-performance infrastructure to support a variety of financial products.Responsibilities Design, develop, and maintain large-scale, reliable data pipelines utilizing Python, SQL, and big data technologies such as Apache Spark and Kafka. Build and optimize ETL/ELT processes for data transformation, loading, and integration from diverse sources. Develop and maintain data storage solutions using both relational and NoSQL databases, including SQL Server, PostgreSQL, MySQL, and MongoDB. Implement and manage CI/CD pipelines for data workflows, facilitating automated deployments and version control. Utilize AWS services to construct, deploy, and monitor cloud-based, scalable data solutions. Leverage Apache Airflow for orchestrating workflows and PostHog for analytics tracking and event data. Oversee and enhance data warehousing solutions to meet business intelligence and analytics requirements. Ensure data accuracy, consistency, and security across various systems and sources. Troubleshoot and optimize data systems for performance, scalability, and cost efficiency. Actively foster and contribute to a collaborative, innovative, and agile team culture.

Position OverviewWe are seeking a talented Data Scientist who will be instrumental in converting raw industrial data into valuable insights. Your role will involve crafting predictive models that tackle significant energy and operational challenges. By merging advanced analytics with business acumen, you will convert intricate data sets into strategic decisions that drive impact.Key ResponsibilitiesGather, cleanse, and preprocess both structured and unstructured data from diverse sources.Conduct exploratory data analysis (EDA) to unveil trends, correlations, and anomalies.Create, validate, and implement machine learning and predictive models.Architect and sustain scalable data pipelines and automation workflows.Translate business challenges into analytical and statistical frameworks.Collaborate effectively with engineering, product, operations, and leadership teams.Communicate insights through interactive dashboards, detailed reports, and compelling data visualizations.Monitor model performance and continuously refine algorithms for optimal results.Ensure compliance with data quality, integrity, governance, and security standards.

Job LevelSection HeadReporting ToSenior Director – Customer CareJob PurposeThe Head of Management Information Services (MIS) is responsible for directing the planning, implementation, and oversight of Information Services within the Customer Care division. This role is pivotal in leveraging data to enhance customer experiences, optimize Human Resources Outsourcing (HRO) performance, and ensure effective budget allocation.Key Responsibilities1. Planning & Budget ManagementDevelop, oversee, and manage the Customer Care budget to ensure optimal efficiency.Analyze financial performance and deliver insightful reports to the Senior Director – Customer Care.Conduct thorough cost-benefit analyses for new Customer Care initiatives, prioritizing projects that enhance customer satisfaction while adhering to budgetary limits.Set performance targets for the MIS team that align with Customer Care objectives and corporate goals.2. Management Information Systems (MIS)Lead the design, execution, and upkeep of Customer Care information systems.Ensure that MIS platforms are fully integrated with existing systems for effective data collection, analysis, and reporting.Guarantee the accuracy, reliability, and accessibility of data to facilitate both operational and strategic decisions.3. Reporting & Executive CommunicationCreate and present high-quality executive reports and presentations that emphasize key insights and performance metrics within Customer Care.Translate complex datasets into clear, actionable insights for executive leaders.Assist leadership in monitoring performance metrics such as SLA compliance, resolution rates, and customer satisfaction.4. Team Leadership & DevelopmentGuide, coach, and mentor the MIS and reporting team to strengthen their analytical and reporting skills.Promote collaboration and diverse perspectives to ensure thorough and precise data analysis.Evaluate team performance, emphasizing accuracy, timeliness, and continuous improvement.5. Risk ManagementIdentify and evaluate potential risks related to information systems, reporting accuracy, and planning processes within Customer Care.Formulate and implement strategies to mitigate risks, ensuring system reliability and operational continuity.

Job ResponsibilitiesArchitect and sustain data pipelines tailored for ML/AI workloads, effectively managing large-scale, unstructured, and semi-structured data sets.Create feature pipelines and stores to ensure data reusability and consistency for machine learning initiatives.Work alongside Data Scientists and ML Engineers to define data needs for training, validation, and deployment of models.Guarantee data quality, lineage, and governance align with standards necessary for AI/ML applications.Facilitate MLOps practices by integrating data pipelines with model training, monitoring, and deployment processes.Utilize distributed processing frameworks (e.g., Spark, Databricks, Azure Synapse) for scalable ML data processing.

Nawy Proptech is on the lookout for an enthusiastic and skilled Data Analyst to become a vital part of our innovative team. In this role, you will harness the power of data to facilitate strategic decision-making and enhance our business performance. Your primary responsibilities will include analyzing and interpreting diverse datasets to deliver actionable insights that guide various departments within the organization.The ideal candidate possesses a strong analytical mindset, exceptional problem-solving abilities, and the capacity to communicate complex findings in a straightforward and accessible manner. Work alongside cross-functional teams to comprehend business needs and tackle data-related challenges. Assess and prioritize business requirements across projects based on their impact on the organization. Gather, analyze, and interpret data to support stakeholders in making informed decisions. Report findings back to relevant team members and present data narratives in an easily digestible format. Conduct ad-hoc analyses as needed to assist management in making informed judgments. Create and maintain dashboards, reports, and visualizations to monitor key performance indicators. Carry out advanced data analysis to extract insights, identify trends, and provide actionable recommendations that align with business goals.

We are seeking a detail-oriented and experienced Senior Accountant to join our dynamic finance team in Cairo. In this role, you will efficiently manage accounting entries and paperwork associated with Accounts Receivable (A/R), Accounts Payable (A/P), Assets, and General Ledger (GL) transactions. Your responsibilities will include preparing month-end general ledger closing journal entries and supporting reconciliations. You will oversee day-to-day accounting activities, assist in monthly close reconciliations, and contribute to financial reporting. A strong knowledge of applicable accounting policies, tax regulations (including Corporate Tax, VAT, and WTH), and compliance with statutory requirements is essential.Key Responsibilities:Accounts Payable (AP)Receive and verify invoices for goods and services from both local and international suppliers, ensuring compliance with financial policies and contract terms.Prepare batches for invoice data entry and process payments accurately.Monitor accounts payable to ensure timely payments and resolve any discrepancies with vendors.Maintain accounts payable files and coordinate payment confirmations with suppliers.Accounts Receivable (AR)Ensure timely posting of invoices and follow up on open invoices regularly.Monitor accounts receivable balances, resolve discrepancies, and maintain customer communications.Prepare monthly provisions for clients as necessary and review bank reconciliations.General Ledger (GL)Ensure accurate posting of office expenses and GL transactions.Assist in the preparation of month-end financial reports and reconciliations.

As the Director of Vocational Education at B.TECH, you will provide visionary leadership and operational management for the school, ensuring that our educational objectives are met and exceeded. You will align the school's performance with B.TECH's transformative goals, fostering robust partnerships within the industry to create a premier vocational education experience for our students.Develop and implement the strategic direction of the school, ensuring it aligns with B.TECH's goals for transformation.Lead the recruitment of essential positions, including Teachers, Heads of Departments, and Quality Supervisors.Oversee the creation and application of performance metrics and recruitment systems.Establish and maintain the VTEC model, promoting strong industry engagement and sustainability.Build and nurture partnerships with industry leaders to enhance student employability and ensure curriculum relevance.Ensure compliance with Standard Operating Procedures (SOPs) and drive the digital transformation of school systems.Collaborate with the School Counselor and Industry Liaison to facilitate student career pathways and well-being.Supervise the Academic and Administrative Managers to ensure effective operations.Promote cross-functional collaboration across academic, administrative, and student affairs.Monitor performance metrics across the school and spearhead continuous improvement initiatives.