Data Science Expert
Skills
About This Role
Overview
- 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
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