Data Science Expert

Job Description Roles & Responsibilities What you ll build: In this role, you'll turn data into decisions by identifying high-value business problems, framing them analytically, and delivering models and insights that improve customer outcomes and product performance. You'll work across exploratory analysis, statistical modeling, experimentation, forecasting, segmentation, anomaly detection, causal analysis, and machine learning, while partnering closely with product, engineering, sales, operations, or finance stakeholders. Your work will not stop at model accuracy: you'll define success metrics, quantify impact, translate findings into business actions, and help teams prioritize based on value, risk, and feasibility. You ll also contribute to AI-driven analytics using NLP, embeddings, and LLM-assisted workflows for summarization, classification, knowledge extraction, and decision support. The role requires someone who can connect business context with rigorous analysis, explain trade-offs clearly, and influence roadmap decisions with evidence. What you bring: Strong command of Python and SQL for data extraction, statistical analysis, feature engineering, model development, and analytical automation You have a deep understanding of statistics and probability, including hypothesis testing, experiment design, A/B testing, regression, causal thinking, and interpreting uncertainty You have hands-on experience with a range of machine learning techniques, such as classification, forecasting, clustering, recommendation systems, anomaly detection, and propensity modeling You are skilled at framing business problems into measurable analytical questions, defining success metrics, and connecting model outputs to commercial or operational decisions You excel at building clear data narratives through dashboards, visualizations, presentations, and concise executive communication You demonstrate practical expertise in feature selection, model validation, error analysis, bias identification, and balancing trade-offs between accuracy and usability You have exposure to modern AI approaches, including NLP, generative AI, and LLM-assisted analytics (e.g., semantic search, text classification, summarization, prompt-based analysis) You are experienced with modern analytics and data platforms, such as notebooks, BI tools, cloud data warehouses, Spark, and large-scale data processing environments You have a strong understanding of data quality, lineage, governance, and the discipline required to produce trustworthy and reusable analyses About You 6+ years of data science experience You are curious and bring a structured approach to problem-solving, with the ability to break down complex challenges into clear, actionable steps You are a strong collaborator who enjoys working cross-functionally and influencing decisions through data You are motivated by driving real-world impact, ensuring your analyses and models lead to measurable business outcomes You continuously seek to learn and stay current with evolving data science and AI trends Where you belong: You will be part of a growing AI and industry expert team dedicated to serving customers across the Kingdom of Saudi Arabia / United Arab Emirates. We are building a collaborative, high impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets. This team thrives on working together to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real world impact matters.This is a place for people who enjoy building something new. You will thrive here if you are customer centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast evolving AI landscape. Desired Candidate Profile What you bring: Strong command of Python and SQL for data extraction, statistical analysis, feature engineering, model development, and analytical automation You have a deep understanding of statistics and probability, including hypothesis testing, experiment design, A/B testing, regression, causal thinking, and interpreting uncertainty You have hands-on experience with a range of machine learning techniques, such as classification, forecasting, clustering, recommendation systems, anomaly detection, and propensity modeling You are skilled at framing business problems into measurable analytical questions, defining success metrics, and connecting model outputs to commercial or operational decisions You excel at building clear data narratives through dashboards, visualizations, presentations, and concise executive communication You demonstrate practical expertise in feature selection, model validation, error analysis, bias identification, and balancing trade-offs between accuracy and usability You have exposure to modern AI approaches, including NLP, generative AI, and LLM-assisted analytics (e.g., semantic search, text classification, summarization, prompt-based analysis) You are experienced with modern analytics and data platforms, such as notebooks, BI tools, cloud data warehouses, Spark, and large-scale data processing environments You have a strong understanding of data quality, lineage, governance, and the discipline required to produce trustworthy and reusable analyses About You 6+ years of data science experience You are curious and bring a structured approach to problem-solving, with the ability to break down complex challenges into clear, actionable steps You are a strong collaborator who enjoys working cross-functionally and influencing decisions through data You are motivated by driving real-world impact, ensuring your analyses and models lead to measurable business outcomes You continuously seek to learn and stay current with evolving data science and AI trends Company Industry IT - Software Services Department / Functional Area IT Software Keywords Data Science Expert Get real-time job updates only on our App