Senior Data Scientist

About Paymob Paymob is a leading FinTech company revolutionizing payment solutions in the MENA region. At Paymob, we believe in enabling businesses to thrive by offering secure, innovative, and scalable tools that simplify payments for everyone. We’re proud to power millions of transactions for some of the biggest names in the region, with a team of innovators spread across Egypt, UAE, KSA and Oman.We foster a value driven culture focused on continuous learning, empowering our people, and collaborating as one global team to create real impact.Job Purpose:The role sits at the core of how we understand our products and our users. You'll work across product analytics, experimentation, and ML — and your work will directly shape how hundreds of thousands of merchants and consumers experience payments across the region.RESPONSIBILITIESProduct & event analytics: defining metrics, tracking user behavior, surfacing what actually mattersA/B testing and experimentation: designing tests, analyzing results, feeding learnings back into product decisionsML models: churn, fraud signals, forecasting — things that have a real downstream impactData modeling in dbt and contributing to our analytics infrastructure on RedshiftOwning and evolving data products from automated insights, dashboards, mining and ad-hoc explorations.Close collaboration with Product, Engineering, and Growth in a scrum environment , you won't be working in a vacuumMentoring teammates and contributing to how the data team’s operations, not just what it shipsREQUIREMENTS2+ years in data analytics, data science or a related roleExperience with product & event analytics tools : Amplitude, Mixpanel, Adjust, CleverTapSolid SQL and Python skillsStrong working experience with BI tools: Superset, Tableau, Power BIHands-on experience with dbt and data modeling best practicesBasic data orchestration and cloud warehouse skills: Airflow, Redshift, or similarUnderstanding of classical ML models and time-series modelsUnderstanding of common statistical analysesSomeone who communicates clearly, works well in agile/scrum teams, and doesn't need to be handed a problem statementExperience defining and working with OKR-driven metric frameworks and north star metrics at the product levelFamiliarity with growth modeling techniques such as user segmentation, propensity scoring, or lifetime value prediction.Prior experience in fintech, payments, or marketplace platformsExposure to real-time or streaming data pipelines (Kafka, Spark, or similar)Exposure to ML platform tooling — feature stores, model registries, or experiment tracking (MLflow, Vertex AI, SageMaker)Experience contributing to or reviewing data science work in a peer-review or RFC-style processUnderstanding of privacy-preserving analytics techniques or experience working within regulated data environmentsBackground in causal inference, uplift modeling, or advanced experimentation frameworks beyond standard A/B testing.BENEFITS We offer competitive compensation packages and performance driven incentive programs.We offer a flexible hybrid work model that supports both in office collaboration and remote productivity.We invest in continuous career coaching to support your growth and long-term development.We collaborate across borders, embracing diversity and shared success.