Data Scientist

Little Bit About Us!

At Snoonu, we believe that technology has the power to make anything possible.

Our Vision: To be the first Qatari Super App that propels the region and its community through innovation and technology. We envision a global expansion where what we do surpasses norms and limitations every time.

Our Mission: To radically transform how people live by leveraging technology to connect them with endless possibilities.

Values We Live By

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.”

Requirements

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.

The Following Are a Plus

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.

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.

Data Scientist

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