Careem - Staff Data Scientist I - ETA
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Requirements
• Must-haves: • Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related technical field • 6+ years of experience working with machine learning program management, analytics in any form- ideally in tech, e-commerce, or service excellence organizations. • Solid Python skills, especially with libraries like pandas, NumPy, and scikit-learn • A strong grasp of ML fundamentals like classification, regression, cross-validation, and evaluation metrics • Familiarity with at least one ML framework such as TensorFlow, PyTorch, or XGBoost • Advanced analytical capability: proficiency in SQL, Excel, Power BI / Tableau, or other BI tools. • Proven track record of translating data insights into business strategy and measurable impact. • Advanced analytical capability: proficiency in SQL, Excel, Power BI / Tableau, or other BI tools - ability to translate complex data into simple narratives. • Familiarity with CRM and Care platforms (Zendesk, Salesforce, or equivalent) and workflow automation tools. • Nice-to-haves: • Exposure to deep learning techniques in call center • Experience working with large datasets using Spark, Hive, and cloud tools • Familiarity with model deployment and monitoring workflows (Airflow, MLflow, etc.) • Interest in solving real operational challenges for customers, captains and partners • A GitHub profile or project portfolio that shows what you’ve built. • What you’ll get • What you’ll get • A chance to work on AI problems, data-analytics at regional scale that improve lives and drive real business outcomes • A smart, motivated team that values learning and practical impact • Flexibility to work remotely, with strong support for collaboration and ownership • A front-row seat to how AI is transforming mobility, delivery, and digital services in emerging markets • What we’ll provide you • We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to: • Work and learn from great minds by joining a community of inspiring colleagues. • Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential. • Explore new opportunities to learn and grow every day. • Work 4 days a week in office & 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.) • Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.
Responsibilities
• 1. ETA Vision & Architecture Ownership • Define and own the long-term technical vision for ETA systems across Food and Groceries. • Architect scalable, multi-stage pipelines. • Design probabilistic and stochastic modeling approaches with uncertainty calibration and reliability guarantees. • Establish modeling standards and best practices for ETA across the organization. • 2. Advanced Modeling & Algorithm Development • Develop and deploy production-grade ML systems leveraging: • Deep learning architectures • Time-series forecasting • Graph-based and routing-aware models • Operations research techniques • Build models robust to marketplace volatility and supply-demand shifts. • Optimize for both point accuracy and distributional correctness (confidence intervals, tail control). • Continuously improve system performance under high traffic and low-latency constraints. • 3. Production Systems & Real-Time Inference • Design and deploy scalable real-time inference pipelines. • Ensure model reliability, monitoring, alerting, and graceful degradation under load. • Collaborate with Data Platform and ML Ops teams to productionize models using Spark, Trino, Python, and distributed frameworks. • Lead model lifecycle management, retraining strategies, and performance tracking in live environments. • 4. Experimentation & Marketplace Impact • Define clear evaluation frameworks aligned with business metrics (conversion, cancellations, fulfillment efficiency, customer trust). • Design and run controlled experiments to measure ETA improvements and marketplace impact. • Drive measurable improvements in operational efficiency and user experience through data-driven insights. • 5. Technical Leadership & Cross-Team Influence • Lead cross-team architectural discussions. • Conduct design reviews and raise the technical bar for modeling quality and system robustness. • Mentor senior data scientists and engineers in advanced ML and modeling techniques. • Contribute to Careem’s applied AI community through technical talks, documentation, and research initiatives.
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