Role & Responsibilities:
- Model Development and Optimization:
- Lead the design, development, and deployment of advanced ML models for complex use cases, such as recommendation systems, fraud detection, customer segmentation, and demand forecasting.
- Partner with data engineers and product teams to ensure models are scalable, reliable, and aligned with business needs.
- Continuously optimize algorithms for performance, accuracy, and efficiency.
- Deployment and Integration:
- Own end-to-end model deployment processes into production environments using Kubernetes and cloud platforms (AWS, GCP).
- Define and manage MLOps best practices, including model monitoring, automated retraining, and CI/CD for ML pipelines.
- Champion automation of model training, validation, and deployment workflows to improve system reliability.
- Analytics Strategy & Enablement:
- Act as a custodian of organizational data, ensuring data quality, consistency, and readiness for advanced analytics and modeling.
- Translate complex data insights into business impact, clearly communicating ROI to stakeholders.
- Drive adoption of analytics and data-driven decision-making across teams by mentoring and enabling business stakeholders.
- Leadership & Collaboration:
- Mentor junior data scientists and analysts, providing technical guidance and career development support.
- Collaborate closely with engineering and product leadership to shape the company’s data science strategy.
- Stay ahead of emerging AI/ML trends, tools, and research, and advocate for their adoption when relevant.
Requirements:
- Proficiency in Python and SQL, with hands-on expertise in ML frameworks such as TensorFlow, PyTorch, Scikit-learn.
- Strong knowledge of deployment tools (Docker, Kubernetes, cloud platforms) and MLOps best practices.
- Proven ability to design and maintain production-grade ML systems.
- Deep understanding of statistical analysis, hypothesis testing, and data visualization.
- Knowledge of cloud-serverless technologies (AWS Lambda, GCP Functions, Azure Functions).
- Strong familiarity with GCP is a plus.
- Prior experience deploying ML solutions in E-commerce or high-growth environments is highly desirable.
- Familiarity to work with Git and GitHub.
- Dataform is a must
Experience:
- 5+ years in data science, including hands-on ML model development and deployment.
- 3+ years in data analytics, statistical modeling, and experimentation.
- Experience mentoring or leading junior data scientists.
- Exposure to fast-scaling startup or tech environments is a strong plus
Top Skills
What We Do
At Soum, we're on a mission to build a marketplace that enables users to buy and sell anything online with convenience, trust, and ease starting in the MENA market. We began with second-hand electronics in KSA, becoming market leaders, and are now expanding to used cars and collectibles. In just two years, we've facilitated hundreds of thousands of transactions across 150+ locations in the Kingdom, maintained 10,000 active listings at any given time, earned the distinction of being the 10th most downloaded e-commerce app in KSA for 2023, and received more than 5 million app downloads.
Our team, Soumers, have worked in over 14 countries from the US to South Korea. We are always on the look out for the best and brightest to join. We look beyond resumes and titles, we look for the innovators, the hungry, the go-getters. We offer them the autonomy to experiment, learn, fail, and grow.
Every transaction on Soum is guaranteed; we hold funds until the item is delivered and confirmed by the buyer, thanks to our proprietary fulfillment and payment systems. This ensures a secure and reliable marketplace experience.
Soum has pioneered a solution that have transformed digital commerce for sellers in the wider region:
Individuals: Enjoy unique home pick-up and delivery services, secure payments, and transaction guarantees for worry-free selling.
Small Businesses: Sell faster and reach a wider audience with our dedicated "Merchant App."
Teleco and retail partners: Gain optimal returns with bulk-selling options, comprehensive inspections, and efficient warehouse management.
We deploy AI models to power our marketplace with personalized recommendations, dynamic pricing, predictive analytics, and fraud detection, ensuring a smarter, safer, and more efficient platform for our users.
Soum is backed by local and regional investors including, amongst others, Jahez Group, Isometry Capital, and Al Rajhi Partners and have raised $22Mn to date.
