Data Scientist II

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 …

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.

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.

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.

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.

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 startup culture while benefiting from the stability of a well-established organization with a consistent growth trajectory. You will collaborate with a forward-thinking, customer-centric team dedicated to pioneering digital retail solutions across the Middle East.Key Responsibilities:Partnering with business leaders to devise innovative strategies that meet organizational objectives using advanced techniques and tools.Clearly conveying analytical methodologies and their alignment with business goals to stakeholders.Promoting the significance of data-driven decision-making, emphasizing the rationale and methodologies behind effective problem-solving.Leading analytical initiatives and integrating efforts with data engineers, business leads, analysts, and developers to enhance tools and applications.Developing robust, interpretable, and scalable models that are seamlessly integrated into analytic data products.Sharing your enthusiasm for data science within the wider enterprise, while establishing long-term processes, frameworks, tools, and standards.Engaging with external thought leaders through conferences and community events to stay at the forefront of industry innovations.

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.

Join us at the forefront of the banking revolution! Our organization is transitioning into an AI-driven institution, transforming how we engage with our customers and shaping the future of finance. With a strong foundation and expertise, we are committed to creating a data-centric powerhouse that anticipates customer needs, personalizes interactions, and enhances operational efficiency. This is not just a conversation about AI; it's about applying it and witnessing its profound impact on the lives of Egyptians. Become a part of our dynamic, hybrid team and play a pivotal role in this thrilling transformation!Position Overview: We are seeking a skilled Data Science Specialist to become an integral member of our expanding team. You will tackle challenging and meaningful projects while collaborating with cross-functional teams to design and implement innovative AI solutions. Additionally, you will have the chance to mentor junior team members. Our focus on agility, human-centered design, social inclusion, and digital evolution drives our quest for top-tier talent.Key Responsibilities: Create and implement machine learning models for diverse banking functions. Enhance and fine-tune existing machine learning models for superior performance. Perform comprehensive data analysis to derive actionable insights. Effectively communicate findings and recommendations to both technical and non-technical stakeholders. Keep abreast of the latest developments in AI and machine learning. Mentor junior team members to foster growth and skill development.

Join our dynamic team as an Azure Data Engineer, where you'll leverage your expertise to evaluate and transform complex data sources, both SAP and non-SAP, into actionable business insights. Your role will involve developing and integrating these data sources into our cutting-edge Azure Data platform, ensuring that our analytics capabilities stay ahead of the curve. Key Responsibilities:• Conduct in-depth analyses of structured, semi-structured, and unstructured data sources to assess quality, completeness, and business impact.• Create, document, develop, implement, and test rapid prototypes demonstrating the value of data, showcasing your work to varied audiences.• Engage in early-stage design and feature definition processes.• Develop robust data pipelines using the Microsoft toolset and Databricks Stack, ensuring they are reusable and scalable.• Collaborate effectively with multidisciplinary engineering teams to integrate proven prototypes into production.

Join our dynamic team as a Senior Data Engineer, where you will harness the power of data to drive impactful solutions. You will be responsible for designing, developing, and maintaining robust data pipelines and architectures that support our mission of fostering inclusivity in technology.Your expertise will help us analyze and interpret complex data sets, ensuring data integrity and optimizing data flows. If you are passionate about utilizing data to enhance decision-making and drive business outcomes, we want to hear from you!

Enhancing Data Quality and Reliability:• Develop and implement advanced methodologies to boost the reliability and quality of data.• Integrate raw data from diverse sources to form consistent and machine-readable formats.Structural Development:• Design, develop, and test data structures that facilitate data extraction and transformation for predictive and prescriptive modeling.Process Definition:• Establish and oversee development, testing, release, update, and support processes for data engineering operations. Analyze and resolve code issues effectively.Big Data Models:• Create and optimize big data models and use cases based on the established data structure, preparing them for end-user data operations.Query Execution:• Formulate and execute queries on both structured and unstructured data sources to diagnose process issues and perform bulk updates.Feature Layer Development:• Design and implement the feature zone with essential features and KPIs required by various stakeholders, aiding in the construction of robust machine learning models.Batch Scheduling and Reporting:• Ensure accurate and timely batch production scheduling and report distribution.Ad Hoc Requests:• Address ad hoc requests from users, such as data research, file manipulation and transfer, as well as investigating process issues.

Join Our Dynamic Team!At Integrant, we are seeking innovative minds to step into the role of Senior Data Architect. In this pivotal position, you will be tasked with architecting comprehensive solutions for data ingestion, storage, processing, transformation, enrichment, and presentation tailored for analytical insights. Your responsibilities will encompass gathering requirements, selecting and customizing analytical frameworks to meet client demands, designing and constructing data pipelines, and formulating data strategies. You will also mentor clients and internal teams on cutting-edge architectures (such as Data Warehouses, Data Lakes, Data Lakehouses, Data Fabrics, Data Meshes) and methodologies (including DataOps and MLOps).

Join Our Team as a Senior Data Architect!We are looking for a dynamic and experienced Senior Data Architect to lead our data modeling initiatives and drive our data strategy. You will play a crucial role in shaping the architecture of our data solutions and ensuring they align with business and IT requirements.Key Responsibilities:Lead the design and development of conceptual, logical, and physical data models.Implement business and IT data requirements across various platforms, including relational, dimensional, and NoSQL.Establish and uphold data modeling and design standards, utilizing effective tools and best practices.Oversee the implementation of RDBMS, operational data stores (ODS), data marts, and data lakes.Identify architecture, infrastructure, and interfaces to data sources, ensuring robust security and analytic model support.Enhance data query performance through best practices and pinpoint opportunities for improvement in existing data systems.Collaborate with cross-functional teams to address project needs and mitigate delivery risks.Support the development of data tools for reporting, visualization, analytics, and machine learning initiatives.Design and manage data infrastructure to ensure organized data extraction, storage, and accessibility for authorized users.Identify and integrate internal and external data sources while ensuring data accuracy, security, and accessibility.

b_labs serves as the transformation and digitization division of B.TECH, dedicated to revolutionizing the industry landscape. We lead technological innovation at B.TECH, a pivotal entity in the Egyptian retail sector. Our goal is to establish B.TECH as the foremost omni-channel platform for consumer electronics and appliances in Egypt. By joining b_labs, you will thrive in a collaborative startup culture while enjoying the stability of a company that consistently demonstrates substantial growth. Become a part of our visionary team, focused on delivering exceptional customer experiences and driving digital retail advancement throughout the Middle East.As a Senior Data Analyst at b_labs, you will play a crucial role in harnessing analytics and data to drive business value. With a strong emphasis on customer focus and a commercial mindset, you will engage with various advanced analytics tools to manage initiatives from conception to implementation. You will work collaboratively to analyze model outputs, design innovative workflows, and foster a culture of collaboration and accountability. Your contributions will support the development of a safe, growth-oriented, and values-driven workplace culture.

Role OverviewWe are seeking a highly skilled Data Engineer Team Lead to spearhead the design and validation of robust data pipelines, data structures, and cutting-edge big data solutions, including data lake platforms. This role is crucial for optimizing data search and retrieval processes within our organization. You will collaborate closely with data structure designers to establish a comprehensive enterprise data architecture.Key ResponsibilitiesEnhancing Data Quality and Reliability:* Develop and implement innovative strategies to enhance data reliability and quality.* Integrate raw data from diverse sources to produce consistent, machine-readable formats.Data Structure Development:* Lead the design and testing of data structures that facilitate effective data extraction and transformation for predictive and prescriptive analytics.Process Definition:* Establish and manage development, testing, release, and support processes for data engineering operations. Identify and rectify code bugs as necessary.Big Data Model Development:* Oversee the creation of big data models and use cases that are aligned with data structures, preparing them for seamless data operations.Query Execution:* Formulate and execute queries on both structured and unstructured data sources to diagnose process issues or conduct bulk updates.Feature Layer Implementation:* Direct the development and implementation of feature zones with essential features and KPIs requested by stakeholders to support robust machine learning models.Batch Scheduling and Reporting:* Ensure accuracy and timeliness in batch production scheduling and report distribution.Data Transformation Management:* Design and oversee processes that support data transformation, data structures, metadata management, dependency tracking, and workload management.Required Competencies* Performance Excellence* Leadership & Empowerment* Collaboration & Synergy Creation* Agility & Resilience* Innovation & Digital Transformation* Strategic Thinking* People-Centric ApproachTechnical Skills* Strong proficiency in Java, C#, and Python for application development.* Extensive experience with Cloudera or comparable big data platforms, including services like Apache Hive, Apache Scala, BizSpark, Impala, Apache Spark, Data Security, Kafka, HBase, Sqoop, NiFi, and Python for programming and data analysis.* Expertise in handling and processing large datasets using distributed computing frameworks.* Advanced SQL skills for querying and managing relational databases.* Comprehensive understanding of data warehousing principles and best practices.* Proficiency in data analysis and visualization tools.

Job Overview:We are on the lookout for a talented and driven Data Integration Specialist to architect, develop, and maintain scalable ETL (Extract, Transform, Load) solutions across our enterprise data platforms. The ideal candidate will possess robust expertise in ETL tools, SQL, and shell scripting, alongside practical experience in integrating significant data volumes from various source systems into comprehensive enterprise data warehouses. Familiarity with Hadoop, Massively Parallel Processing (MPP) systems, and Unix/Linux environments will be considered a strong advantage.Key Responsibilities:Gather and analyze ETL requirements from both business and technical stakeholders, translating them into effective data integration solutions.Create, develop, and sustain ETL workflows and data pipelines for the seamless loading of data from various sources into Data Warehouses and Data Marts.Guarantee data quality, accuracy, and timeliness, while complying with predefined SLAs and performance standards.Enhance existing data integration processes for improved performance, scalability, and resource efficiency.Diagnose and resolve ETL and data loading challenges in collaboration with other data and infrastructure teams.Offer mentorship and support to junior developers, fostering knowledge sharing within the team.Develop and maintain thorough technical documentation for data integration processes, design choices, and operational practices.

Join our dynamic team at SanaCommerce as a Senior Data Engineer. In this critical role, you will leverage your expertise in data engineering to build robust data pipelines and enhance our data processing capabilities. Collaborate with cross-functional teams to design and implement innovative solutions that drive data-driven decision-making across the organization.

Data Pipeline Development & InfrastructureArchitect, develop, and sustain robust and scalable data pipelines that support both structured and unstructured data.Create and implement real-time and batch data processing frameworks.Develop ETL/ELT workflows for data ingestion from diverse sources, ensuring optimal performance and reliability.Enhance data storage and retrieval mechanisms for real-time and batch operations.Design a cost-effective and efficient data infrastructure that adapts to the evolving needs of the business.Data Solutions & AI-Driven ApplicationsConstruct data pipelines to support machine learning recommenders, search functionalities, and AI-enhanced features.Develop and maintain data models, APIs, and integrations that facilitate analytics and customer applications.Support eCommerce data solutions such as product recommendations, customer segmentation, and personalization strategies.Collaboration & Continuous ImprovementCollaborate with Data Architects, Analysts, and Product Teams to identify data requirements and deliver top-tier solutions.Monitor and resolve performance issues to maintain high availability and efficiency of data pipelines.Continuously enhance the cost, performance, and scalability of data engineering solutions.

Join mylo, the innovative consumer finance division of B.TECH, as we transform the financial sector. We are in search of a passionate and results-driven Senior Data Analyst who will be instrumental in guiding our data-driven strategies and shaping our future. Collaborating with diverse teams, you will harness the potential of data, develop predictive models, and provide valuable insights that drive key business decisions.In your role as Senior Data Analyst, you will:Lead the creation and implementation of advanced dashboards and visualizations.Perform in-depth analyses to uncover business opportunities and assess potential risks.Work alongside cross-functional teams to establish key performance indicators (KPIs) and devise data strategies.Design and manage detailed data models and ETL processes.Mentor junior analysts and champion the integration of analytics best practices.