Staff Data Scientist I - Matching

Job Title: Lead Data Scientist / Expert in Data Insights.Roles and Responsibilities:Demonstrated proficiency in Business Intelligence tools, particularly Tableau and MicroStrategy, ensuring a continuous flow of actionable data.Strong understanding of the transformative impact of data analytics on business operations, highlighting its advantages.Innovate by developing decision analytics solutions utilizing advanced methodologies and techniques.Design user-friendly processes and reporting models that empower business units to access and manage their data in real-time.Oversee engagement methodologies to ensure compliance, mitigate risks, and maintain the highest quality standards, collaborating with teams to implement necessary adjustments.

Envision Employment Solutions is actively seeking a Lead Data Scientist for our esteemed partner, a prominent player in the IT Services and IT Consulting sector.Job Overview:We are in search of a forward-thinking AI leader who will spearhead our enterprise-scale AI initiatives, including strategy formulation, architecture design, and successful project execution. This pivotal role necessitates profound knowledge of large language models (LLMs), AI governance, and robust machine learning platforms, along with exceptional leadership and communication skills that resonate with executive stakeholders.The ideal candidate will possess a wealth of experience in constructing and scaling enterprise AI ecosystems while managing interdisciplinary teams in multifaceted environments.Key Responsibilities:Strategic AI LeadershipEstablish and execute AI roadmaps that are in harmony with corporate objectives.Oversee the comprehensive model lifecycle, from research and experimentation through to production deployment.Ensure that AI projects deliver quantifiable ROI and tangible business benefits.LLM & NLP Architecture (Enterprise Level)Architect LLM ecosystems, including RAG pipelines, orchestration layers, and fine-tuning methodologies.Guide domain-specific model fine-tuning and pretraining utilizing proprietary datasets.Integrate state-of-the-art platforms such as Azure OpenAI, AWS Bedrock, Anthropic Claude, and Google Vertex AI.Define governance, compliance, and security frameworks for LLM implementations.Establish evaluation criteria for hallucination rates, factual accuracy, bias, and toxicity.Infrastructure & GovernanceDevelop and manage data governance policies and feature store strategies.Lead frameworks for model observability, monitoring, and drift management.Collaborate with DevOps and Security teams to guarantee scalability, resilience, and compliance.Team & Stakeholder LeadershipAssemble and mentor multidisciplinary AI teams, including Data Scientists, ML Engineers, and Data Engineers.Provide mentorship to senior scientists and establish research best practices.Engage directly with executive leadership and non-technical stakeholders.Assess AI vendors and explore technology partnerships.Qualifications:Master’s or PhD in AI, Machine Learning, Computer Engineering, Applied Mathematics, or a related field.A minimum of 7 years of overall professional experience.At least 2 years in AI/ML leadership positions.Demonstrated capability to build and scale enterprise-level AI/LLM platforms.Leadership Competencies:Innovative mindset that propels enterprise-wide transformation.Exceptional executive communication and influence skills.Focused on delivering measurable ROI, scalability, and ethical AI practices.

Modeling Expertise:Proven experience in designing and implementing propensity models focused on cross-selling and upselling opportunities.In-depth knowledge of Next Best Action / Next Best Offer systems.Solid understanding of supervised learning methodologies, uplift modeling, and causal inference techniques.Programming & Engineering:Proficient in Python (required); knowledge of R or Scala is advantageous.Experience with distributed computing frameworks such as Spark, Dask, or Ray.Skilled in developing production-level ML pipelines using tools like Airflow, MLflow, or Kubeflow.Strong familiarity with software engineering best practices including version control, CI/CD, and thorough testing.Data Infrastructure:Experience with cloud platforms (AWS/GCP/Azure) and data warehouses (Snowflake, BigQuery, Redshift).Excellent SQL skills; adept at optimizing queries and handling large datasets.MLOps & Deployment:Proven ability to deploy models to production using APIs or streaming technologies (Kafka, Flink).Experienced in model versioning, experiment management, and deployment practices with MLflow, SageMaker, or Vertex AI.Monitoring & Observability:Capable of establishing model monitoring, drift detection, and alerting systems utilizing Prometheus, Grafana, Evidently, or custom dashboards.Familiarity with logging frameworks and performance profiling for ML services.GenAI (Preferred):Experience with Large Language Models, embeddings, prompt engineering, and vector databases (e.g., FAISS, Pinecone).Ability to incorporate GenAI into decision-making systems or customer-facing applications.Leadership & Collaboration:Proven leadership skills to guide senior data scientists while maintaining a hands-on approach.Adept at collaborating with product managers, engineers, and business stakeholders.

Join webook, a leading company in the advertising industry, as an Advertising Data & Insights Manager. In this pivotal role, you will leverage data analytics to drive insights that shape our advertising strategies and enhance our clients' campaigns. You will be responsible for analyzing market trends, consumer behavior, and advertising performance to provide actionable recommendations.

Join Careem as a Staff Data Scientist I in our dynamic ETA (Expected Time of Arrival) team, where you will leverage data science techniques to enhance our services. You will work with cross-functional teams to solve complex challenges, drive insights from data, and contribute to product development.

Oversee and lead a team of proficient data analysts.Develop data mappings essential for creating data marts and lakes.Design and implement user-friendly interfaces and dashboards for effective data interaction and visualization.Conduct thorough testing and validation of software and data products to guarantee accuracy and dependability.Engage in collaboration with fellow developers, data analysts, and stakeholders to ensure software alignment with business objectives.Provide analytical support to Business Performance and Strategic Analytics for departments and decision-makers.Core Skills:Expertise in Data Product Development and Data Mart design.Knowledge of Machine Learning, Deep Learning, Time-Series Analysis, and Optimization techniques.Understanding of Retail, Business, and Wholesale Banking products.Strong communication and interpersonal skills.Proficient in people management with a focus on multicultural awareness.Technical Skills:Proficient in Python (along with R, SAS, and Spark) and SQL, DAX.Strong coding abilities in languages such as Python, R, and Java.Familiarity with cloud data technologies.Competencies:Advanced proficiency in SQL and Python; experience with SAS/R/Spark is an advantage.Experience in deployment across various databases and server/cloud environments including AWS and Azure.Thorough understanding of banking functionalities is a significant advantage.Excellent communication and documentation skills to effectively convey information to stakeholders.Familiarity with tools such as Power BI, Tableau, or Qlik is beneficial.

Join Envision Employment Solutions as we seek a talented Senior Data Scientist for our esteemed partner, a global frontrunner in IT Services and Consulting.Position Overview:We are on the lookout for a highly knowledgeable Senior Data Scientist who will take charge of designing, constructing, and implementing cutting-edge machine learning and natural language processing (NLP) solutions, including applications based on large language models. The successful candidate will possess significant production experience, deep understanding of transformer architectures, and the capability to spearhead technical projects from inception through to deployment.Key Responsibilities:Machine Learning & NLP DevelopmentCraft and develop comprehensive machine learning models, with a strong emphasis on NLP applications.Fine-tune and deploy large language models, including GPT, BERT, and LLaMA, tailored for specific applications.Construct, train, and assess deep learning models utilizing frameworks like TensorFlow, PyTorch, or Keras.Implement Retrieval-Augmented Generation (RAG) and embedding-based semantic search solutions.Enhance and optimize transformer-based models for tasks such as summarization, Q&A, and document intelligence.Assess and refine prompt engineering strategies for improved context efficiency.Data Engineering & PipelinesDevelop robust data pipelines utilizing tools such as Airflow, Spark, or Dataiku.Engage in data wrangling and preprocessing using libraries like pandas and NumPy.Design and oversee feature stores.Integrate and manage vector databases such as Pinecone, FAISS, or Chroma.Model Deployment & ProductionEstablish and maintain RESTful APIs for deploying ML models in production environments.Implement scalable AI services and manage continuous integration/continuous deployment (CI/CD) pipelines.Monitor model performance, including drift detection and lifecycle management.Conduct A/B testing, ensemble blending, and utilize explainability techniques such as SHAP and LIME.Statistical & Analytical ExpertiseUtilize advanced statistics, probability theory, and experimental design.Conduct hypothesis testing and data-driven analyses to inform business decisions.Collaboration & IntegrationCollaborate effectively with product and engineering teams to integrate AI solutions into production systems.Work alongside cross-functional stakeholders to deliver scalable AI capabilities.Requirements:Qualifications:Bachelor’s or Master’s degree in Data Science, Artificial Intelligence, Computer Science, or a related field.At least 4 years of experience in machine learning and data science roles.Demonstrated history of delivering production-grade ML and NLP projects.Experience in leading small data science teams or technical projects.

Join Careem as a Senior Data Scientist II, specializing in supply chain analytics. In this role, you will leverage advanced data science techniques to drive decision-making and optimize operations across our supply chain network.Your responsibilities will include analyzing complex datasets, developing predictive models, and collaborating with cross-functional teams to implement data-driven solutions that enhance efficiency and reduce costs.

Join our dynamic team as a Data Scientist | Quantitative Analyst at connecthum, a rapidly expanding trading firm dedicated to enhancing its research and analytical capabilities.About connecthum:Experience a quant-driven trading environment.Engage in fast decision-making cycles that have a measurable impact on P&L.Be part of a data-first culture.Help scale research throughput to expedite strategy development.In this pivotal role, you will bridge the gap between trading, data science, and strategic decision-making.Your Contributions:Establish yourself as the primary expert in trading-related analytics and dashboards.Take ownership of and enhance strategy rebalance frameworks.Conduct hypothesis testing and backtesting on trading strategies.Assess and optimize existing trading strategies.Enhance access to clean, structured, and actionable data.Develop reporting pipelines and insightful dashboards.You will gain direct visibility into trading performance and the strategic impact of your work.Technical Environment Overview:Utilize Python for production-grade analytical workflows.Engage in large-scale SQL querying and work with analytical databases.Employ data visualization and dashboard tools.Implement statistical modeling and hypothesis validation techniques.Perform time-series analysis.Your Strengths:Proficient in Python with the ability to write clean, reproducible analytical code.Confident in handling large datasets using SQL.Strong grasp of statistics and probability principles.Experience in data visualization and reporting.Demonstrates an independent and self-motivated mindset.Excellent communicator — able to translate complex data into actionable decisions.Fluent in English.Willingness to relocate to Dubai.Preferred Qualifications:Background in trading or financial domains is a plus.

Dataiku is at the forefront of AI innovation, providing an enterprise orchestration layer that simplifies the creation, deployment, and governance of AI solutions. Our platform empowers teams to design and operate analytics, machine learning, and AI agents within a collaborative environment that emphasizes transparency and control. By integrating seamlessly with various data platforms, cloud infrastructures, and AI services, Dataiku enables organizations to implement AI strategies effectively across diverse vendor environments with centralized governance.Renowned companies across the globe depend on Dataiku to transform AI into a genuine driver of business performance, delivering measurable outcomes. For further insights, visit the Dataiku blog, LinkedIn, X, and YouTube.As a Senior Data Scientist at Dataiku, you will play a pivotal role in addressing real-world challenges by developing innovative solutions while also engaging directly with clients throughout their journey. Your responsibilities will encompass assisting clients in exploring the Dataiku platform, integrating it with other technologies, delivering user training, and collaboratively developing data science projects from inception to deployment.In this position, both technical and interpersonal skills are essential. You will leverage the Dataiku platform daily, utilizing primarily Python and SQL, with opportunities to work in other languages such as R, PySpark, and JavaScript. The ideal candidate will possess a passion for mastering complex technologies and modeling techniques and will be adept at articulating their work to both fellow data scientists and clients.Your contributions will include:Co-developing production-level data science projects in partnership with our clients.Analyzing diverse datasets and exploring machine learning applications across various industries and use cases.Facilitating user training sessions and providing ongoing consultative support to help users maximize their use of the Dataiku platform.Offering data science expertise to both customers and internal teams, including sales and marketing.

AECOM is seeking a Graduate Data Scientist to join its Dubai office. This position is open exclusively to Emirati nationals. The role centers on supporting client projects that involve technology and analytics, working as part of a team of experienced data professionals. Key responsibilities Assist with data-driven projects, contributing from the initial analysis through to final delivery Collaborate with senior team members to help develop tailored solutions for clients Build practical skills in data science and analytics while working on real-world assignments Who can apply This role is open to Emirati nationals who are interested in starting a career in data science and analytics.

Job Title: Data Engineer (PySpark)________________________________________About the RoleWe are in search of a talented Data Engineer with significant expertise in PySpark and the Cloudera Data Platform (CDP) to bolster our data engineering team. In this role, you will be tasked with the design, development, and maintenance of scalable data pipelines that guarantee high data quality and availability across the organization. A robust background in big data ecosystems, cloud-native tools, and advanced data processing techniques is essential.The right candidate will possess hands-on experience in data ingestion, transformation, and optimization within the Cloudera Data Platform, along with a solid history of implementing data engineering best practices. Collaboration with fellow data engineers will be key to creating solutions that yield impactful business insights.ResponsibilitiesDesign, develop, and sustain highly scalable and optimized ETL pipelines utilizing PySpark on the Cloudera Data Platform, ensuring data integrity and precision.Oversee data ingestion processes from diverse sources (e.g., relational databases, APIs, file systems) to the data lake or data warehouse on CDP.Employ PySpark to process, cleanse, and transform extensive datasets into actionable formats that fulfill analytical needs and business objectives.Optimize performance by tuning PySpark code and Cloudera components to enhance resource utilization and minimize ETL runtimes.Establish data quality checks, monitoring, and validation protocols to uphold data accuracy and reliability throughout the pipeline.Automate data workflows utilizing tools such as Apache Oozie, Airflow, or comparable orchestration tools within the Cloudera ecosystem.Monitor pipeline performance, troubleshoot issues, and perform routine maintenance on the Cloudera Data Platform and related data processes.Collaborate closely with other data engineers, analysts, product managers, and other stakeholders to comprehend data requirements and support various data-driven initiatives.Document data engineering processes, code, and pipeline configurations thoroughly.

Join Delivery Hero as a Senior Data Scientist specializing in Artificial Intelligence and Machine Learning. In this pivotal role, you will leverage advanced analytical skills to drive innovative solutions that enhance our delivery services. Collaborate with cross-functional teams to develop algorithms and models that improve operational efficiency and customer satisfaction.

Role Overview Delivery Hero is hiring a Staff Data Scientist focused on Artificial Intelligence (AI) and Machine Learning (ML) in Dubai. This senior position plays a key role in advancing how the company uses data to make decisions and improve services. What You Will Do Work with teams across the business to design and build advanced algorithms and models. Apply AI and ML techniques to solve real problems and improve customer experiences. Help guide the direction of data science projects that influence the future of Delivery Hero’s offerings. Location This role is based in Dubai.

DeepLight AI is a leading consultancy specializing in artificial intelligence and data solutions, renowned for our in-depth experience in deploying intelligent enterprise systems across various sectors, particularly in financial services and banking. Our expert team blends comprehensive knowledge of data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a nuanced understanding of intricate business operations.We are currently seeking a Data Assurance Lead to act as the principal steward of data integrity within our clients' multifaceted Lakehouse environments. In this pivotal consultancy position, you will not only oversee data but also architect, execute, and operationalize a comprehensive Data Assurance Framework from the ground up. By leveraging Soda Core within the Medallion architecture (Bronze, Silver, Gold), you will establish stringent quality standards, automate data contracts, and incorporate scorecards into OpenMetadata.In this consultative role, you will transcend the role of a mere technical specialist; you will become a strategic champion for data reliability. Exceptional communication skills are essential to effectively convey the significance of data assurance to stakeholders, guide cross-functional teams through ambitious migration objectives, and foster a culture of quality within AWS Glue and Data Factory workflows. If you have over 8 years of experience—preferably within the Financial Services or Banking industries—and flourish in dynamic, Agile environments where you can simplify complexity and engage senior stakeholders, we invite you to take on this exciting challenge.

DeepLight AI is a premier AI and data consultancy renowned for its expertise in deploying intelligent enterprise systems across diverse sectors, with a strong focus on financial services and banking. Our dedicated team merges profound knowledge in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with an acute understanding of intricate business operations.We are on the lookout for an innovative Data Architect to lead the strategic design of our most sophisticated enterprise Lakehouse implementations. In this high-impact consultancy role, you will take ownership of the Medallion Architecture roadmap, guiding high-level decision-making within SAF/ARB forums and establishing the gold standard for Apache Iceberg tables — encompassing partitioning strategies, schema evolution, and time travel. Your role will involve bridging the divide between abstract design and practical application, leading Data Factory squads, and mentoring AWS Glue Engineers to ensure adherence to global modeling and lineage standards.Technical prowess is just part of the equation; we seek a master communicator who can engage and influence senior stakeholders effectively. You should be capable of compellingly presenting your architectural vision, adeptly managing complex escalations, and translating intricate metadata and lineage strategies into tangible business value. If you are a technical authority eager to shape the trajectory of large-scale transformations in financial services and establish reusable design patterns that set our firm apart, we invite you to lead our architectural practice.

Join our innovative technology team as the Vice President of Data Platforms. We are looking for an accomplished leader to guide our AI and machine learning strategies from our Dubai office. In this pivotal role, you will oversee the development and implementation of cutting-edge data platforms that drive our organization forward in the digital landscape.Your Responsibilities:Formulate and execute a comprehensive AI/ML strategy aligned with our business goals.Manage the design, development, and upkeep of scalable data platforms and AI/ML infrastructure.Lead and nurture a talented team of data scientists, engineers, and analysts, encouraging a culture of creativity and excellence.Work collaboratively with cross-functional teams to identify and deploy AI/ML solutions that enhance business outcomes.Establish and uphold best practices for data governance, security, and compliance across all AI/ML projects.Keep informed of the latest trends in AI/ML and data technologies, providing strategic recommendations for adoption.Build and maintain relationships with key technology partners and vendors in the AI/ML industry.Communicate AI/ML strategies, progress, and outcomes to executive leadership and stakeholders.Facilitate the integration of AI/ML capabilities into current products and services.Optimize resource allocation and manage budgets for AI/ML initiatives.

We are looking for a talented and experienced Senior Data Engineer to join our dynamic Data Engineering team in Dubai. The successful candidate will play a pivotal role in designing, constructing, and enhancing scalable data pipelines, while also facilitating advanced analytics and machine learning applications. This position demands a deep understanding of big data technologies, data processing frameworks, and feature engineering to effectively support machine learning models in a live production setting.Key ResponsibilitiesCollect and assess business and technical requirements for effective data solutions.Conduct Exploratory Data Analysis (EDA) to reveal data patterns and assess data quality.Design, develop, and maintain high-performance, scalable data pipelines.Ingest both structured and unstructured data from various sources.Transform and process extensive datasets using PySpark and Python.Apply feature engineering techniques to enhance machine learning models.Optimize Spark jobs for peak performance and cost efficiency.Ensure the quality, integrity, and security of data across all pipelines.Collaborate closely with Data Scientists, Analytics Teams, and Delivery Leads.Participate in an Agile environment alongside cross-functional teams.Effectively communicate with stakeholders, providing valuable technical insights.Utilize Git for version control and manage CI/CD workflows.Required Skills & ExpertiseProven experience in Python and PySpark.In-depth knowledge of Apache Spark (performance tuning and optimization).Comprehensive understanding of the Hadoop ecosystem.Advanced skills in SQL.Experience in building end-to-end data and ML pipelines.Strong grasp of data modeling and warehousing concepts.Experience with feature engineering for ML applications.Familiarity with Git and version control systems.Exposure to cloud platforms (AWS/Azure/GCP) is advantageous.QualificationsBachelor’s or Master’s degree in Computer Science, Engineering, or a related field.8–10+ years of experience in Data Engineering / Big Data.Experience in the banking or financial services sector is preferred.Soft SkillsExceptional problem-solving and analytical skills.Strong communication and stakeholder management abilities.Capability to work both independently and collaboratively within a team.Adaptability to fast-paced Agile workflows.

Join gsstech-group as a talented Data Engineer specializing in PySpark and the Cloudera Data Platform (CDP). In this pivotal role, you will be responsible for designing, developing, and maintaining high-quality data pipelines that are both scalable and efficient. Your contributions will ensure optimal data performance and availability across our organization.This position requires extensive hands-on experience in big data technologies, cloud-native environments, and advanced data processing frameworks. You will collaborate with diverse teams to create reliable data solutions that facilitate actionable business insights.Key Responsibilities1. Data Pipeline DevelopmentCraft and sustain scalable ETL/ELT data pipelines utilizing PySpark on CDP.Guarantee data integrity, reliability, and performance optimization.2. Data IngestionBuild ingestion frameworks to gather data from various sources including relational databases, APIs, streaming platforms, and file systems.Load both structured and unstructured data into Data Lake and Data Warehouse environments.3. Data Transformation & ProcessingProcess, cleanse, and transform extensive datasets using PySpark.Create reusable data processing components.4. Performance OptimizationOptimize Spark jobs and Cloudera components for peak performance.Enhance memory, partitioning, and execution strategies.Minimize ETL runtime and elevate cluster efficiency.5. Data Quality & ValidationEstablish data validation checks and monitoring systems.Maintain comprehensive data quality and governance standards.6. Automation & OrchestrationAutomate workflows using Apache Oozie, Apache Airflow, or similar orchestration tools.Support CI/CD integration for data pipelines.7. Monitoring & SupportOversee pipeline health and troubleshoot any issues that arise.Provide ongoing production support and drive continuous improvement initiatives.