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Snoonu · 20 hours ago

Senior Data Scientist

United States

Full-time

Remote

Senior Level

5+ years exp

Snoonu is Qatar’s homegrown Super App, reinventing daily life with blazing-fast delivery, ride-hailing, and shopping - all in one place. They are seeking a Senior Data Scientist to lead the development and implementation of advanced machine learning and generative AI models to enhance business processes, while mentoring junior team members and collaborating with cross-functional teams.

DeliveryDelivery ServiceE-CommerceLogisticsMobile Apps

Responsibilities

Lead the development and implementation of advanced ML and GenAI models to improve business processes, such as forecasting, demand prediction, churn analysis, and customer segmentation

Design and conduct experiments to test and validate models under various scenarios

Fine-tune and deploy LLMs and GenAI applications for real-world use cases

Design and evaluate data-driven experiments, ensuring robustness and real-world applicability

Provide technical leadership in data science, mentoring junior team members and driving best practices

Translate complex analytical results into actionable business insights, presenting findings to senior leadership and stakeholders

Stay up to date with the latest advancements in AI and ML, integrating cutting-edge techniques into business solutions

Collaborate with cross-functional teams, including data scientists, engineers, and business managers, to identify key operational challenges and develop innovative solutions

Qualification

Machine LearningGenerative AIPythonSQLData ScienceStatistical ModelingProblem-solvingCommunicationCollaboration

Required

MSc in Data Science, Big Data, AI, Statistics or a related field

5+ years of experience in data science, machine learning, or statistical modeling

Proficiency in Python, including libraries such as Pandas, NumPy, Scikit-learn, Optuna and LightGBM

Deep expertise in machine learning techniques, including supervised and unsupervised learning, advanced feature engineering, and model evaluation

Extensive experience working with time series forecasting, regression and classification problems, and/or recommendations engines

Hands-on experience with Generative AI, including fine-tuning and deploying LLMs

Practical experience in developing and deploying ML models at scale, including monitoring and retraining pipelines

Strong experience handling large datasets and full SQL proficiency

Excellent problem-solving skills and ability to work independently as well as in a team-oriented, collaborative environment

Strong communication and collaboration skills, with the ability to work effectively within a diverse, cross-functional team

Preferred

Experience with AWS (e.g. S3, Lambda, Step Functions, Bedrock) and Databricks for ML model development and deployment

Proven experience in the delivery and logistics industry, with a strong understanding of its unique operational challenges and optimisation opportunities