Middle Data Scientist-Logistics

🚀 Welcome to Your Next Adventure! 🛠 What You’ll Get Your Hands On • 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. 🧙‍♂️ The Magic You Bring • 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. • 5+ 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 Inside Snoonu’s Universe Snoonu is Qatar’s homegrown Super App, reinventing daily life with blazing-fast delivery, shopping, and more – all in one place. Powered by tech, driven by a global team, and obsessed with making life easier. The Dream We’re Chasing To be the first Qatari Ultra App that propels the region and its community through innovation and technology. We have global ambitions where what we do surpasses norms and limitations every time. The Quest We’re On To radically transform how people live by leveraging technology to connect them with endless possibilities. Our Everyday Superpowers Be Customer Obsessed: “Focus on the customer and all else will follow.” Act with Integrity: “We are honest, ethical, and trustworthy in everything we do.” Be Curious and Creative: “We constantly innovate and create solutions to bring a lasting positive impact.” Lead by Example and Take Ownership: “Be the change you want to see and take ownership.” Work Smart and Deliver Results: “You can do more by doing less, better, and faster.” It's All About People: “Be a team player; together we are stronger.” Real Builders Ship: “We turn ideas into products, plans into action, and challenges into opportunities.” Perks & Worklife Magic At Snoonu 🌐 Global Vibes – Collaborate with a worldwide crew. 🧠 Brain Boosters – Learning budgets, access to courses, and tools for your growth. 🚒 Builder’s Playground – Own your tasks, own your path! We’re big on autonomy. 🏝️ Flexible Time Off – We take recharging seriously. Generous leave and wellness policies. 🛠️ Agile Everything – Scrum isn’t a buzzword here. It’s how we roll, from product to ops. 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. Certified for Excellence Our ISO 9001:2015 and ISO 45001:2018 certifications demonstrate our dedication to world-class quality and a safe, supportive workplace, reinforcing our promise to deliver exceptional service while prioritizing the wellbeing of our people. Beyond the Code: Giving Back Matters We don’t just build apps. We’re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we’re always finding ways to do better—and we invite you to be a part of that mission. Diversity Isn’t Just a Buzzword At Snoonu, fairness and inclusion are the foundation of everything we do. We’re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here. Let’s Build the Future Together Apply now to join a team where your contributions spark a change and your voice is heard. Let’s make some magic together. Stay in the loop—connect with us on LinkedIn! Show more

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. 5+ years of experience in data science, machine learning, or statistical modelling, with a strong focus on time series forecasting and/or optimisation problems.

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.