Senior Data Scientist

Job Title: Senior Data Scientist Company: Snoonu SAP Module: SPP MM Roles & Responsibilities: * Lead the research, development, and implementation of advanced time series forecasting models to optimise logistics operations, including ETA prediction, preparation times, and demand forecasting. * Design and implement optimization algorithms and solvers to improve logistics network efficiency, route planning, and resource allocation. * Design and conduct rigorous experiments to test, validate, and benchmark models under various real-world scenarios, ensuring robustness and accuracy. * Fine-tune, deploy, and monitor ML models and applications in production, maintaining retraining pipelines and ensuring model performance over time. * Collaborate with ML engineers, backend engineers, researchers, and product engineers in a cross-functional setting to identify key operational challenges and develop innovative data-driven solutions. * Conduct A/B tests and other experimentation techniques to evaluate model impact and drive continuous improvement across logistics KPIs. * Translate complex analytical results into actionable business insights, presenting findings to senior leadership and stakeholders. * Provide technical leadership in data science, mentoring junior team members and driving best practices in modelling, experimentation, and code quality. * Stay up-to-date with the latest advancements in AI, ML, and operations research, integrating cutting-edge techniques into logistics solutions. Lead by Example and Take Ownership: “Be the change you want to see and take ownership.” Work Location: Doha, Doha, Qatar Availability: Full time

* MSc in Data Science, Statistics, Applied Mathematics, Computer Science, or a related field. * Nice to Have: PhD in Data Science, Statistics, Computer Science, Electrical Engineering, or equivalent industrial experience. * 0-3 years of experience in data science, machine learning, or statistical modelling, with a strong focus on time series forecasting and/or optimisation problems. * Extensive hands-on experience with time series forecasting methods (e.g., ARIMA, Prophet, LightGBM, TFT, DeepAR, N-BEATS) and regression/classification models. * Practical experience with optimisation techniques and solvers (e.g., linear programming, mixed-integer programming, heuristic methods, OR-Tools, PuLP, or similar). * Proficiency in Python, including libraries such as Pandas, NumPy, Scikit-learn, Optuna, LightGBM, TensorFlow, or PyTorch. * Practical experience in developing and deploying ML models at scale, including monitoring and retraining pipelines. * Practical experience in A/B testing and other experimentation techniques. * Strong experience handling large datasets and proficiency with SQL databases (BigQuery, Redash, or others). * Experience with cloud platforms such as AWS (ECS, S3, Lambda, Step Functions), GCP (BigQuery, VertexAI), and/or Databricks for ML model development and deployment. * Proven experience in the delivery and logistics industry, with a strong understanding of its operational challenges and optimisation opportunities (a plus) Great Place to Work® Certified We’re certified as a Great Place to Work®, a recognition that celebrates a culture we’ve built together where people come first, always. This certification reflects our commitment to creating a workplace where everyone feels valued, empowered, and inspired to do their best work. Key Skills: SQL, Python Salary: Not disclosed