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.