SP
Salla E-Commerce PlatformSenior Data Scientist – Generative AI
Senior/Staff Data Scientist developing AI for commerce in the Middle East. Architecting systems for merchant and customer AI assistants and content generation.
About the role
- Technically own and execute the company-wide AI strategy, covering both in-house ML initiatives and the adoption of generative AI tools.
- Lead a team of machine learning engineers, data scientists, and AI researchers focused on delivering real business impact.
- Oversee the development, deployment, and monitoring of ML models, including those used for churn prediction, fraud detection, user segmentation, and personalization.
- Champion experimentation, causal inference, and model evaluation best practices to ensure rigor during decision making.
- Evaluate and integrate GenAI tools (e.g., ChatGPT, Gemini) to automate internal workflows, improve efficiency, and enhance user-facing experiences.
- Collaborate with Product, Engineering, Operations, Risk, and Compliance to identify high-value AI use cases and translate them into scalable solutions.
- Define best practices for responsible AI, including bias mitigation, data privacy, explainability, and governance.
- Establish platform and tooling strategy for model development, training, deployment, and monitoring at scale.
- Stay on top of advancements in the AI/ML field, guiding long-term innovation efforts and ensuring Uphold remains at the forefront.
- Mentor and grow AI talent, supporting career development and technical excellence across the team.
- Report to the executive team and board, showcasing how AI is contributing to core business goals.
- Evangelize a data-driven culture throughout Uphold’s multiple business units.
Requirements
- 8+ years of experience in data science, machine learning, or applied AI.
- 1+ years in data leadership roles, with a proven ability to scale teams and drive cross-functional data initiatives.
- Deep experience in applied machine learning, including supervised/unsupervised learning, model lifecycle management, and evaluation.
- Experience deploying models into production environments, including monitoring, retraining, and observability practices.
- Strong working knowledge of LLMs, embeddings, prompt engineering, and GenAI integrations.
- Proficiency with modern ML infrastructure, frameworks, and tools (e.g., Python, TensorFlow, PyTorch, LangChain, Weights & Biases, etc.).
- Track record of turning AI/ML solutions into business value across different domains (e.g., fraud, growth, operations, customer support).
- Excellent communication and stakeholder management skills, including experience presenting to C-level and non-technical audiences.
- Knowledge of AI governance and ethical considerations in real-world applications.
- Fluent written and oral English skills.
Benefits
- An amazing work environment in a company that continues to grow, driven by extraordinary and passionate people who keep up innovating and challenging more each day.
- An international team, in a cutting-edge field, working on the most fascinating projects.
- Growth and career opportunities, and the chance to be proactive and creative.
- A flexible and enthusiastic work environment that offers you snacks, a lot of coffee, and other great benefits.
- Open and transparent culture - we get together on a weekly basis to share updates, and strategic plans, and engage with each other informally over food and drinks.
- Interesting events that keep you connected with the team and celebrate our success.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
FG
FUCHS GroupData Scientist
Data Scientist leveraging statistical methods and machine learning techniques at FUCHS. Focus on data analysis, modeling, and collaboration for data - driven solutions.
ST
Seagate TechnologyData Science Intern
Data Science Intern leveraging AI and ML technologies for product development at Seagate. Hands - on experience with data analysis, model development, and actionable insights generation.
Analyst within Credit Risk Management team identifying credit segmentation opportunities using statistical methods. Collaborating with teams to enhance credit decision process and policies.
AM
AmoddexData Manager
Data Manager managing and analyzing company data at Amoddex, a consultancy for IT transformation projects. Ensuring data integrity and supporting strategic decision - making in a collaborative environment.
CO
Data Scientist at Capital One on the LLM Customization Team utilizing the latest in computing and machine learning technologies. Collaborating with data scientists and engineers to deliver AI powered products.
Lead Full Stack Data Scientist at Tilt, building the intelligence layer for data - based decisions. Driving data science strategy and analytics to enhance product and growth insights.
FC
Ford Motor CompanyData Science SME – AI/ML
Data Scientist focusing on Generative AI applications and engineering problem - solving at Ford. Collaborating with cross - functional teams to innovate and improve technology solutions in the automotive sector.
FC
Ford Motor CompanyData Scientist
AI Engineer/Data Scientist in Ford's Global Data Insights & Analytics team. Developing advanced AI/ML solutions and collaborating on cloud - native data products.
RI
RiachueloMid-level Data Scientist
Data Scientist transforming customer data into insights that guide strategic decisions for Riachuelo. Collaborating with teams to analyze and visualize data trends for business growth.