Urwah Admin

Salla

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 Join us in building the intelligence that powers product discovery for millions of shoppers and thousands of merchants across the Middle East. As the Data Science Manager for the Recommendation Systems Pod, you will lead the design and execution of large-scale personalization models that directly impact the company topline.
 
 
 This is a rare opportunity to shape the next generation of commerce AI in a high-growth market characterized by highly diverse user and merchant behaviors across the GCC.
 
 
 
 Responsibilities
 
 
 
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 Design, train, and deploy recommendations/personalization models leveraging deep learning, sequence models (Transformers, GRU), and boosted trees (XGBoost, LightGBM)
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 Develop multi-task learning approaches that optimize engagement, conversion, and merchant outcomes simultaneously
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 Build scalable retrieval and ranking systems with ANN search (FAISS, ScaNN) and vector embeddings trained on user, product, and event data
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 Collaborate with infra to productionize real-time feature pipelines (ClickHouse, Kafka, Spark)
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 Run A/B tests and interpret results using causal inference and uplift modeling to drive measurable business impact
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 Integrate model outputs with platform APIs for dynamic personalization in search, home feeds, and store pages
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 Define best practices for offline evaluation (MAP@K, NDCG) and online experimentation metrics (CTR, CVR, GMV uplift)
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 Partner with product analytics and data science to iterate on signal enrichment and cold-start strategies
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 Mentor junior data scientists and define best practices
 
 
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 Requirements
 
 
 
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 Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical field
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 4+ years of hands-on ML experience, including 2+ years designing or deploying large-scale recommendation systems
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 Track record: Built or maintained systems serving 1M+ users or generating 100M+ personalized predictions daily
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 Deep expertise in representation learning, embeddings, attention mechanisms, and multi-task learning
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 Demonstrated success integrating multi-stage ranking systems across e-commerce surfaces (search, feeds, product detail pages) with measurable online lift (CVR, GMV)
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 Proficient with large-scale data ecosystems: Kafka, Spark, ClickHouse, BigQuery, or equivalent
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 Strong understanding of offline/online evaluation metrics, A/B experimentation, and model monitoring frameworks
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 Skilled in debugging, optimization, and productionization of ML pipelines in cloud or containerized environments
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Senior / Staff Data Scientist - Recommendations / Personalization Systems

At Salla, we believe that building the right team is the foundation for shaping the future of commerce. We are looking for a passionate and innovative Talent Acquisition Lead who is excited about technology, curious about AI, and driven by connecting with people. In this role, you will lead our recruitment strategy end-to-end, experiment with new approaches, and bring fresh ideas to how we attract and engage top talent. More than filling roles, you'll play a key part in promoting our culture, ensuring a human-centric hiring experience, and helping us grow with the right people on board. Key Responsibilities <ul> <li>Develop and implement effective talent acquisition strategies to attract top-tier candidates across various departments.</li> <li>Collaborate with hiring managers to identify staffing needs and create job descriptions that accurately reflect the requirements of each position.</li> <li>Utilize multiple sourcing methods, including job boards, social media, and networking to build a strong candidate pipeline.</li> <li>Screen resumes, conduct interviews, and evaluate candidates to ensure they meet Salla's standards and fit within our culture.</li> <li>Manage the full recruitment cycle, including negotiating offers and facilitating the onboarding process for new hires.</li> <li>Analyze recruitment metrics and continuously improve processes to enhance efficiency and candidate experience.</li> <li>Act as an employer brand ambassador, promoting Salla's mission and values to potential candidates.</li> </ul> Requirements <ul> <li>Proven experience in a talent acquisition or recruitment role, with a focus on sourcing and hiring technical talent.</li> <li>Strong understanding of various recruiting platforms, tools, techniques, and ATS</li> <li>Excellent communication and interpersonal skills, with the ability to engage with candidates at all levels.</li> <li>Experience in developing and implementing recruitment strategies that align with company goals.</li> <li>Keen attention to detail and organizational skills to manage multiple roles simultaneously.</li> <li>Ability to work collaboratively in a fast-paced environment.</li> </ul>

Talent Acquisition Lead

Join Salla and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Salla

ABOUT_COMPANY

Senior / Staff Data Scientist - Recommendations / Personalization Systems

Talent Acquisition Lead