Salla
About Salla
About Salla
Salla is a leading e-commerce platform dedicated to empowering businesses across the Middle East. We provide merchants with the tools and resources they need to build, manage, and grow their online stores, regardless of technical expertise. Our mission is to democratize e-commerce, enabling anyone with a vision to succeed in the digital marketplace.
Our Culture
At Salla, we foster a collaborative and innovative environment where every team member can make a significant impact. We believe in:
- Empowerment: Giving our employees the autonomy to own their work and drive results.
- Innovation: Encouraging creative thinking and continuous improvement.
- Collaboration: Working together as a team to achieve shared goals.
- Customer Focus: Prioritizing the needs of our merchants and delivering exceptional service.
- Growth: Providing opportunities for professional development and advancement.
Why Join Salla?
Joining Salla means becoming part of a dynamic and rapidly growing company that is transforming the e-commerce landscape in the Middle East. You'll have the chance to work on cutting-edge technology, collaborate with talented individuals, and make a real difference in the lives of entrepreneurs. We offer competitive salaries, comprehensive benefits, and a supportive work environment that values your contributions. If you're passionate about e-commerce and driven to succeed, we invite you to explore career opportunities at Salla.
Our Vision
We envision a future where every business, regardless of size, has the opportunity to thrive online. Salla is committed to providing the platform and support necessary to make this vision a reality, driving economic growth and empowering entrepreneurs across the region.
Open Positions
Data Analyst
Salla
About the Role We are looking for a Data Analyst to join our growing Data team. This role focuses on turning raw data into clear, accurate, and actionable insights that support decision-making across the company. You’ll work closely with senior analysts, product managers, engineers, and business stakeholders to help ensure data is reliable, well-structured, and easy to understand. This is an excellent opportunity for someone early in their career to learn and grow in analytics while making a meaningful impact. We are committed to building an inclusive workplace. This role is open to all qualified candidates, including individuals with disabilities or special needs. Applicants who require reasonable accommodations during the recruitment, hiring, or employment process are encouraged to apply. Reasonable accommodations will be provided in accordance with applicable laws and regulations. Responsibilities: Collect, clean, and organize data from production, warehouse, and external sources to ensure accuracy and reliability. Develop and maintain data collection systems, pipelines, and processes that optimize efficiency and quality. Perform exploratory data analysis (EDA) to identify patterns, trends, and opportunities in complex datasets. Use BI tools to build and maintain dashboards, reports, and visualizations that support business needs and decision-making. Interpret data and provide actionable insights to stakeholders through reports, dashboards, and presentations. Monitor data quality, validate results, and support initiatives for data integrity and normalization. Document data sources, processes, and definitions to improve knowledge-sharing and consistency across the team. Collaborate with cross-functional stakeholders to gather requirements and deliver data solutions aligned with business priorities. Support testing, troubleshooting, and improvements of reporting systems and pipelines. Train end-users on new reports, dashboards, and data tools to enhance adoption and effectiveness. Work with senior team members and management to define metrics, track performance, and prioritize business and information needs. Identify and recommend process improvements and opportunities for better data-driven decision-making. Requirements: Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Engineering, or related discipline). 0–2 years of experience in data analysis or a related field (internships or academic projects count). Strong proficiency in SQL for querying and analyzing data. Familiarity with at least one BI/visualization tool (e.g., Tableau, Looker, Metabase). Good understanding of data cleaning techniques and basic statistical concepts. Strong analytical skills with high attention to detail and accuracy. Ability to communicate findings clearly through reports, dashboards, and presentations. Eagerness to learn and willingness to dive deep into data validation.
Data Scientist
Salla
About the Role We are looking for a Data Scientist to design and develop Machine Learning (ML) models in different domains to find patterns from wide-variety types and large amounts of datasets. You will use mainly Deep Learning techniques (and other ML techniques) to solve different problems in Recommendation Engines, Chatbots, Natural Language Processing (NLP) and other domains. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions. Responsibilities Analyze raw data: assessing quality, cleansing, preprocessing, structuring for downstream processing. Conduct research and development activities, data exploration and discovery using Data Science and Machine Learning (ML) practices. Develop, apply, test and implement Data Science and ML models for a wide variety of datasets gathered from different data sources such as Online market places, e-commerce platforms, social media, and web sources. Design and develop accurate and scalable ML models in different domains and applications, which include, but not limited to, Recommendation engines, Chatbots, NLP, text mining, text-based feature selection/representation, optimization and predictive modeling. Utilize a variety of tools and approaches to solve complex business objectives, from Recommendation Engines, Chatbots, Natural Language Processing (NLP), Machine Learning/ Deep Learning, Image Processing, Speech Processing, Rule-Based Learning and Knowledge Graphs. Design new service offerings and solutions in E-Commerce and different fields. Keep up to date with latest trends and technologies in the data science and ML fields. Work closely with Data Engineers in data related requests, and Data Quality Assurance Officers in data integrity issues. Work closely with Business Analysts and product development teams to understand and implement their requirements. Collaborate with big data and software developers to translate ideas, models and prototypes into full-fledged solutions. Work closely with cross-functional teams to identify challenges and problems and suggest potential AI solutions. Requirements Bachelor's degree in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.); graduate degree in Data Science or other quantitative field is preferred. At least 2 - 4 years' of experience as a data scientist (quantitative analytics and data modeling). Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms. Experience in ML applications and domains (Recommendation Engines, NLP, Language Models and Chatbots experience is preferred). Experience in Deep Learning algorithms and techniques. Proficiency in Python (other languages such as Shell Scripts, C++, .Net, Java, Matlab, R,...etc are preferred). Experience in Python libraries (Tensorflow, Keras, Pandas, Sklearn). Excellent in Algorithms and Object-Oriented programming. Familiarity with database technology (design and implementation) and query language. Familiarity with Big Data frameworks and visualization tools (ElasticSearch, Cassandra, Hadoop, Spark) is preferred. Strong organizational and project management skills. Good problem-solving skills. Excellent communication and presentation skills
Senior Data Analyst
Salla
About the Job We are looking for a passionate Senior Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions. Data Analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data Analyst will develop queries, reports, dashboards, and troubleshoot data issue. They will also monitor performance and quality control plans to identify improvements. Data Analyst will assist business departments in interpreting information, reports and dashboards and respond to their requests/questions. In addition, Data Analyst will assist data scientists in different AI projects, data engineers in requirements related to data preparation/management/governance, and data quality assurance officers in data integrity and cleansing activities. Responsibilities Identify and acquire data from different data sources (production, warehouse, external sources) and organize the data in usable formats. Develop and implement data collection systems, pipelines, data analytics and other strategies that optimize statistical efficiency and quality. Interpret data, analyze results using statistical techniques, create visualizations of data and provide reports, and dashboards. Identify, analyze, and interpret trends or patterns in complex data sets. Use BI tools to analyze data, and extract useful business insights. Filter and “clean” data by reviewing reports, dashboards, and performance indicators to locate and correct problems Locate and define new process improvement opportunities. Supporting business departments and responding to their data-related requests and keeping track of these requests. Supporting data engineers in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Training end-users on new reports and dashboards. Work with management to prioritize business and information needs. Qualifications Bachelor's degree in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.). At least 3 years of experience as a Data Analyst or Business Data Analyst. Proficiency in Python . Excellent in Algorithms and Data Mining techniques. Familiarity with database technology (design and implementation) and query language. Strong knowledge of and experience with BI tools (e.g. Looker, Tableau..etc) and reporting packages. Knowledge of statistics and experience using statistical packages and python libraries for analyzing and visualizing datasets (NumPy, SciPy, Tensorflow, Keras, Pandas, Sklearn, MatplotLib... etc). Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Adept at queries, report writing and presenting findings. Strong organizational and project management skills. Good problem-solving skills. Excellent communication and presentation skills Other languages such as Shell Scripts, C++, .Net, Java, Matlab, R,...etc are preferred...
Senior Site Reliability Engineer (SRE)
Salla
Improving Platform Reliability at Salla Leading high-severity incident response and driving post-incident reviews to enhance our platform reliability. Troubleshooting complex issues across applications, infrastructure, and networks. Improving MTTR through better monitoring, alerts, and diagnostic tooling to ensure continuous platform reliability. Participating in the on-call rotation supporting production systems. Performance & Scalability You will be responsible for identifying and resolving performance bottlenecks and scaling challenges. This includes conducting load testing and capacity planning for high-traffic scenarios. Your focus on platform reliability will be essential. Infrastructure & Operations Enhance cloud-native infrastructure, deployment processes, and automation. Improve resilience, fault-tolerance, and recovery mechanisms across systems. This is integral to platform reliability. We also want to ensure proper security so it's important to keep updated with resources from OWASP and similar sites. Observability Build and refine dashboards, alerts, metrics, logs, and traces. Define SLIs/SLOs and improve visibility into system behavior. This ensures complete platform reliability. Tooling & Automation Develop tools that reduce operational toil and increase reliability. Contribute to infrastructure-as-code, CI/CD pipelines, and GitOps workflows which all help to improve platform reliability. Collaboration Work closely with engineering teams to ensure services are robust and production-ready. Mentor engineers on reliability, debugging, and operational best practices. Internal documentation and standardization is something that can aid this, resources like Atlassian can provide insight. Bonus Skills: Background in large-scale, high-traffic systems. Experience with fault-tolerant design, DR, and HA patterns. Familiarity with SLOs, SLIs, and error budgets. Candidates located within GMT 0 to +6 time zones are preferred. We also like to utilize tools like Grafana to improve the development process.
Senior / Staff Data Scientist - recommendations/personalization Systems
Salla
About The Job 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 Design, train, and deploy recommendations/personalization models leveraging deep learning, sequence models (Transformers, GRU), and boosted trees (XGBoost, LightGBM). Develop multi-task learning approaches that optimize engagement, conversion, and merchant outcomes simultaneously. Build scalable retrieval and ranking systems with ANN search (FAISS, ScaNN) and vector embeddings trained on user, product, and event data. Collaborate with infra to productionize real-time feature pipelines (ClickHouse, Kafka, Spark). Run A/B tests and interpret results using causal inference and uplift modeling to drive measurable business impact. Integrate model outputs with platform APIs for dynamic personalization in search, home feeds, and store pages. Define best practices for offline evaluation (MAP@K, NDCG) and online experimentation metrics (CTR, CVR, GMV uplift). Partner with product analytics and data science to iterate on signal enrichment and cold-start strategies. Mentor junior data scientists and define best practices Qualifications Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related technical field. 4+ years of hands-on ML experience, including 2+ years designing or deploying large-scale recommendation systems. Track record: Built or maintained systems serving 1M+ users or generating 100M+ personalized predictions daily. Deep expertise in representation learning, embeddings, attention mechanisms, and multi-task learning. Demonstrated success integrating multi-stage ranking systems across e-commerce surfaces (search, feeds, product detail pages) with measurable online lift (CVR, GMV). Proficient with large-scale data ecosystems: Kafka, Spark, ClickHouse, BigQuery, or equivalent. Strong understanding of offline/online evaluation metrics, A/B experimentation, and model monitoring frameworks. Skilled in debugging, optimization, and productionization of ML pipelines in cloud or containerized environments.
Follow Salla
Be the first to know when Salla posts new jobs in the GCC.
Company Details
Verified EmployerFox Jobs GCC is the direct source for verified job listings from leading employers like Salla.