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Gathern

<div>Data Scientist: 
Drive data-driven decision-making by developing analytical models, extracting actionable insights, and translating complex datasets into measurable business impact aligned with company strategy.<div> 
Key Accountabilities: 
<ul><li>Develop predictive and statistical models to support business objectives</li><li>Perform data cleaning, transformation, and feature engineering</li><li>Translate business problems into analytical frameworks</li><li>Build dashboards and data visualizations for stakeholders</li><li>Conduct exploratory data analysis (EDA) to uncover trends and insights</li><li>Collaborate with Product, Marketing, and Engineering teams</li><li>Monitor model performance and ensure continuous optimization</li></ul></div> 
Core Behavioral Competencies:<ul><li>Strategic Vision &amp; Agility &ndash; Proficient</li><li>Growth Mindset &ndash; Proficient</li><li>Scalable Execution &ndash; Proficient</li><li>People Leadership &amp; Talent Development &ndash; Basic/Proficient</li><li>Governance &amp; Ethical Conduct &ndash; Proficient</li><li>Customer Centricity &ndash; Proficient</li><li>Innovative Thinking &amp; Digital Fluency &ndash; Expert</li><li>Stakeholder Management &ndash; Proficient</li></ul><div>
Technical Competencies: 
<ul><li>Data Modeling &amp; Statistical Analysis &ndash; Proficient</li><li>Machine Learning &amp; Predictive Modeling &ndash; Proficient</li><li>Data Wrangling &amp; Feature Engineering &ndash; Proficient</li><li>Data Visualization &amp; Storytelling &ndash; Proficient</li><li>SQL &amp; Database Querying &ndash; Proficient</li><li>Python / R for Data Science &ndash; Proficient</li><li>Experimentation &amp; A/B Testing &ndash; Basic/Proficient</li><li>Model Deployment &amp; Monitoring &ndash; Basic/Proficient</li></ul></div> 
Requirements 
Education:<ul><li>Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, Mathematics, or related field.</li></ul>
 Experience:<ul><li>4&ndash;6 years in data science or advanced analytics roles</li><li>Experience building and deploying machine learning models</li><li>Experience working with large structured and unstructured datasets</li><li>Experience collaborating with cross-functional teams</li></ul></div>

Data Scientist

Gathern | جاذر إن

<div>
 
 Data Scientist:
 
 
 
 Drive data-driven decision-making by developing analytical models, extracting actionable insights, and translating complex datasets into measurable business impact aligned with company strategy.
 
 
 
 Key Accountabilities:
 
 
 
 <ul>
 <li>
 Develop predictive and statistical models to support business objectives
 </li>
 <li>
 Perform data cleaning, transformation, and feature engineering
 </li>
 <li>
 Translate business problems into analytical frameworks
 </li>
 <li>
 Build dashboards and data visualizations for stakeholders
 </li>
 <li>
 Conduct exploratory data analysis (EDA) to uncover trends and insights
 </li>
 <li>
 Collaborate with Product, Marketing, and Engineering teams
 </li>
 <li>
 Monitor model performance and ensure continuous optimization
 
 
 </li>
 </ul>
 
 Core Behavioral Competencies:
 
 
 
 <ul>
 <li>
 Strategic Vision &amp; Agility - Proficient
 </li>
 <li>
 Growth Mindset - Proficient
 </li>
 <li>
 Scalable Execution - Proficient
 </li>
 <li>
 People Leadership &amp; Talent Development - Basic/Proficient
 </li>
 <li>
 Governance &amp; Ethical Conduct - Proficient
 </li>
 <li>
 Customer Centricity - Proficient
 </li>
 <li>
 Innovative Thinking &amp; Digital Fluency - Expert
 </li>
 <li>
 Stakeholder Management - Proficient
 
 
 </li>
 </ul>
 
 Technical Competencies:
 
 
 
 <ul>
 <li>
 Data Modeling &amp; Statistical Analysis - Proficient
 </li>
 <li>
 Machine Learning &amp; Predictive Modeling - Proficient
 </li>
 <li>
 Data Wrangling &amp; Feature Engineering - Proficient
 </li>
 <li>
 Data Visualization &amp; Storytelling - Proficient
 </li>
 <li>
 SQL &amp; Database Querying - Proficient
 </li>
 <li>
 Python / R for Data Science - Proficient
 </li>
 <li>
 Experimentation &amp; A/B Testing - Basic/Proficient
 </li>
 <li>
 Model Deployment &amp; Monitoring - Basic/Proficient
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Education
 
 :
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field
 
 
 </li>
 </ul>
 
 Experience
 
 :
 
 
 <ul>
 <li>
 4-6 years in data science or advanced analytics roles
 </li>
 <li>
 Experience building and deploying machine learning models
 </li>
 <li>
 Experience working with large structured and unstructured datasets
 </li>
 <li>
 Experience collaborating with cross-functional teams
 </li>
 </ul>
</div>

CNTXT

<div>
 
 
 Job Summary
 
 
 
 We are seeking a highly skilled Data Scientist to lead the design, development, and deployment of advanced autonomous agents and Large Language Models (LLMs). This role offers the chance to drive innovative AI solutions in a collaborative, dynamic environment, working on cutting-edge systems that solve real-world challenges.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Agent Development: Design and implement autonomous agents that perform tasks, call external tools/APIs, and generate code to solve complex problems.
 </li>
 <li>
 LLM Integration: Develop and integrate Large Language Models to enhance agent capabilities in decision-making and natural language processing.
 </li>
 <li>
 Tooling: Equip agents with the right toolchains&mdash;RAG, vector DBs, third-party APIs&mdash;to streamline task execution.
 </li>
 <li>
 Safety &amp; Ethics: Incorporate guardrails, alignment tests, and compliance standards to ensure secure, reliable operation.
 </li>
 <li>
 Performance Optimisation: Use MLOps/DevOps best practices to monitor, benchmark, and refine models for cost-efficient scale.
 </li>
 <li>
 Collaboration: Partner with cross-functional teams to align technical solutions with business goals.
 </li>
 <li>
 Performance Optimization: Refine agent and LLM performance using MLOps and DevOps best practices.
 </li>
 <li>
 Deployment: Own end-to-end rollout on cloud (AWS, Azure, or GCP), containerising with Docker/Kubernetes where appropriate.
 </li>
 <li>
 Cross-functional Alignment: Work closely with product, engineering, and domain SMEs to translate business goals into technical roadmaps.
 </li>
 <li>
 Mentorship: Coach and review work of junior data scientists/ML engineers.
 </li>
 <li>
 Innovation: Dedicate a portion of your time to tracking AI trends and prototyping new autonomous-agent capabilities.
 </li>
 <li>
 Communication: Present insights and outcomes clearly to both technical and non-technical stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Master&rsquo;s or Ph.D. in Computer Science, Artificial Intelligence, or related field (or equivalent practical experience).
 </li>
 <li>
 5 + years in data science/ML engineering, with 2 + years building AI systems that include autonomous agents or LLMs.
 </li>
 <li>
 Proven record of deploying agentic systems with integrated safety features.
 </li>
 <li>
 Expert-level Python and deep familiarity with PyTorch or TensorFlow.
 </li>
 <li>
 Hands-on experience running production workloads on at least one major cloud platform.
 </li>
 <li>
 Solid grasp of MLOps (CI/CD, model monitoring, IaC).
 </li>
 <li>
 Strong problem-solving ability and clear, concise communication skills.
 </li>
 </ul>
</div>

MOZN

<div>
 
 About Mozn
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We&rsquo;re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you&rsquo;re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About The Role
 
 
 
 We are searching for a strategic and inquisitive Data Scientist. As a member of Mozn's Data Science team, you will work with cross-disciplinary teams to identify the problems to be solved, specify the problems in mathematical and statistical terms, scope out the project/product in collaboration with your team and external stakeholders, and then go about answering the identified questions. You find insights that spur teams and stakeholders to improve their business/product and drive value for internal and external stakeholders.
 
 
 
 
 What you&rsquo;ll d
 
 
 
 
 o
 
 
 
 
 <ul>
 <li>
 Work with cross-functional teammates from engineering, products, business, and marketing to deliver data-powered solutions.
 </li>
 <li>
 Communicate highly technical results and methods clearly to a wide variety of external clients.
 </li>
 <li>
 Analyze and extract insights from multiple and complex datasets through regression analysis, hypothesis testing, and other machine learning techniques.
 </li>
 <li>
 Develop and apply new machine learning techniques to ensure modern yet optimal approaches are applied to Mozn's solutions.
 </li>
 <li>
 Develop data pipelines and ingestion engines for Natural Language Understanding and/or Risk Management; as well as contribute to current engines at Mozn.
 </li>
 <li>
 Engage with stakeholders to identify and define the scope of challenges and propose data-powered solutions.
 </li>
 <li>
 Plan and execute solutions' development from data gathering to intelligent decision making.
 </li>
 <li>
 Staying informed with new frameworks and technological advances to increase Mozn's efficiency and productivity.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 B.S. or M.S. in Computer Science, Statistics, Mathematics or similar quantitative fields.
 </li>
 <li>
 3-5 years of Relevant experience as a data scientist, or similar fields that require developing ML/AI models. Over 2 years for B.S. degree and over 1 year for M.S.
 </li>
 <li>
 Programming experience over two years in object oriented programming, including data manipulation using Python or other languages.
 </li>
 <li>
 Good understanding of statistics and probability, such as Bayesian methods and conditional probability.
 </li>
 <li>
 Applied experience in machine learning, such as conducting model experiments.
 </li>
 <li>
 Experience in version control systems, such as Git, GitHub.
 </li>
 <li>
 Programming experience in SQL or NoSQL is preferred.
 </li>
 <li>
 Familiarity with big data technologies, such as Spark.
 </li>
 <li>
 Experience in deep learning frameworks, such as PyTorch.
 </li>
 <li>
 Expertise in Natural Language Understanding and/or Risk Management applications.
 </li>
 <li>
 Familiarity with containerization frameworks, such as Docker.
 </li>
 <li>
 Research experience in optimization and natural language processing (NLP).
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
 </li>
 <li>
 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
 </li>
 <li>
 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
 </li>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
 </li>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.
 </li>
 </ul>
</div>

Discovered MENA

<div>
 
 💻
 
 Staff Data Scientist (Product Analytics)
 
 
 
 📍 Remote
 
 
 
 
 
 We&rsquo;re looking for a
 
 Staff Data Scientist (Product Analytics)
 
 to come in and
 
 own product analytics end-to-end
 
 with one of our clients. This is a high-impact role where you&rsquo;ll shape how data is used across the entire product lifecycle &mdash; from idea to launch and beyond.
 
 
 You&rsquo;ll be building a lot from the ground up 🚀 &mdash; setting up event tracking, defining experimentation frameworks, and making sure every product decision is backed by solid, reliable data.
 
 
 
 
 
 
 What you&rsquo;ll be doing:
 
 
 <ul>
 <li>
 Define and roll out event tracking standards across web, mobile, and backend
 </li>
 <li>
 Own and optimise key product funnels (onboarding, checkout, subscriptions, etc.)
 </li>
 <li>
 Build and scale an experimentation framework (A/B testing, guardrails, SRM checks, power analysis, MDE, etc.)
 </li>
 <li>
 Turn experiment results into clear, actionable insights
 </li>
 <li>
 Partner closely with Product &amp; Engineering to embed measurement into the dev lifecycle
 </li>
 <li>
 Deep-dive into product data (retention, adoption, segmentation) to guide roadmap decisions
 </li>
 <li>
 Work with Data Platform teams on data quality &amp; tooling
 </li>
 <li>
 Mentor analysts and help build a strong data culture 🧠
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 7+ years in product analytics / data science / applied stats
 </li>
 <li>
 Strong experience running A/B tests at scale (and understanding common pitfalls)
 </li>
 <li>
 Deep knowledge of event tracking &amp; instrumentation
 </li>
 <li>
 Advanced SQL + Python (pandas, scipy, statsmodels, etc.)
 </li>
 <li>
 Solid statistical foundation (hypothesis testing, power analysis, causal thinking)
 </li>
 <li>
 Experience defining product metrics (north star, guardrails, health metrics)
 </li>
 <li>
 Strong storytelling &amp; stakeholder communication skills
 </li>
 </ul>
 
 
 
 
 
 Bonus points:
 
 
 <ul>
 <li>
 If you speak Arabic
 </li>
 <li>
 Based in Saudi (Jeddah/Makkah) and experience in the GCC
 </li>
 <li>
 Background in e-commerce, marketplaces, or SaaS
 </li>
 <li>
 Experience with tools like Eppo, Statsig, LaunchDarkly, Optimizely
 </li>
 <li>
 Familiarity with Looker, Metabase, dbt, BigQuery, ClickHouse
 </li>
 <li>
 Exposure to Bayesian methods, sequential testing, or bandits
 </li>
 </ul>
 
 
 
 
 
 
 
 
 A bit more context:
 
 
 <ul>
 <li>
 You&rsquo;ll be building the experimentation culture from scratch (an amazing opportunity to make your mark)
 </li>
 <li>
 This will start as an IC role, with strong potential to grow into leadership/management over time
 </li>
 </ul>
 
 
</div>

Staff Data Scientist 📍 Remote

Fathom.io

<div>
 
 About The Role
 
 
 
 We are a pioneering AI company making our mark on the global stage, with offices in Saudi Arabia, Poland, and Norway. As a pre-Series A startup, we are proudly backed by one of the world&rsquo;s leading corporations, highlighting our strong potential and innovative spirit.
 
 
 Our platform is designed to solve complex business challenges through cutting-edge AI solutions, with a particular focus on computer vision technologies. We are on a mission to launch a product that will transform the industry by leveraging advanced AI and computer vision capabilities.
 
 
 We are looking to hire a
 
 passionate Data Scientist
 
 to join our team in Dhahran.
 
 
 
 What You&rsquo;ll Be Doing
 
 
 
 <ul>
 <li>
 Support the development and implementation of computer vision models and algorithms for tasks such as object detection, image recognition, and predictive maintenance.
 </li>
 <li>
 Collaborate with product, marketing, and technical teams to integrate AI and computer vision solutions into our AI/DataOps platform.
 </li>
 <li>
 Assist in data science projects from conception to delivery, ensuring data quality and model performance.
 </li>
 <li>
 Conduct research on the latest AI and computer vision techniques to help keep our solutions innovative and competitive.
 </li>
 <li>
 Analyze data and translate findings into actionable insights for both technical and non-technical stakeholders.
 </li>
 <li>
 Help optimize and improve models for scalability, efficiency, and business impact.
 </li>
 <li>
 Prepare datasets, clean data, and perform exploratory data analysis to support model development.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Competitive salary and benefits package.
 </li>
 <li>
 A dynamic, fast-paced, and challenging work environment.
 </li>
 <li>
 Opportunities for professional growth, mentorship, and career development.
 </li>
 <li>
 Exposure to innovative AI and computer vision projects on a global scale.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Computer Science, Artificial Intelligence, Statistics, or a related field.
 </li>
 <li>
 Experience in Data Science, Machine Learning, or AI-related roles.
 </li>
 <li>
 Basic understanding of computer vision, machine learning, and AI concepts.
 </li>
 <li>
 Familiarity with programming languages such as Python and libraries/frameworks like TensorFlow, PyTorch, OpenCV, Pandas, or Scikit-learn.
 </li>
 <li>
 Strong analytical and problem-solving skills with attention to detail.
 </li>
 <li>
 Ability to work independently and as part of a collaborative team.
 </li>
 <li>
 Eagerness to learn, research, and experiment with new AI technologies.
 </li>
 <li>
 Good communication skills, with the ability to explain technical concepts clearly.
 
 
 </li>
 </ul>
 By submitting this application, I agree that my personal data will be collected, processed, and retained by the company solely for the purposes of managing and assessing my candidacy.
</div>

KFUPM Career Fair- Data Scientist

Salla

<div>
 
 About The Role
 
 
 
 We are looking for a Staff Data Scientist (Business Analytics) to lead strategic analytics and causal measurement for Salla's highest-impact growth bets. In this role, you will build the analytical frameworks that help leaders forecast outcomes, size opportunities, measure ROI, and understand true incrementality across the business.
 
 
 You will develop decision-grade metrics and segmentation models, and partner with senior leadership to ensure capital and effort flow to the highest-return initiatives. This is a senior individual-contributor role for someone who combines deep statistical craft with strong business instinct and clear communication.
 
 
 This role is ideal for someone who wants to shape how a pre-IPO e-commerce platform thinks about growth &mdash; moving the company from intuition-driven bets to evidence-driven strategy.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and maintain forecasting frameworks for revenue, GMV, merchant growth, and other key business drivers
 </li>
 <li>
 Lead opportunity sizing for new products, pricing changes, market expansions, and strategic initiatives
 </li>
 <li>
 Build causal impact measurement capabilities (e.g., synthetic control, diff-in-diff, geo-experiments) to quantify the true ROI of business investments
 </li>
 <li>
 Develop and maintain a repeatable measurement playbook that standardises how the company evaluates bets &mdash; covering incrementality, attribution, and counterfactual reasoning
 </li>
 <li>
 Create merchant and customer segmentation and scoring models that drive prioritisation across sales, marketing, and merchant success
 </li>
 <li>
 Define decision-grade metrics and KPIs in partnership with Finance, Commercial, and Product leadership
 </li>
 <li>
 Translate complex analytical findings into clear, actionable narratives for C-level and cross-functional stakeholders
 </li>
 <li>
 Mentor analysts and data scientists across the team on statistical methods, causal inference, and analytical rigour
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 7+ years of experience in product analytics, data science, or applied statistics at a technology company
 </li>
 <li>
 Deep hands-on experience designing, running, and analysing A/B tests at scale, including familiarity with common pitfalls (SRM, peeking, metric sensitivity, novelty effects)
 </li>
 <li>
 Strong understanding of event-tracking architectures and instrumentation best practices (e.g., event taxonomies, naming conventions, schema governance)
 </li>
 <li>
 Expert-level SQL and Python (pandas, scipy, statsmodels, or equivalent)
 </li>
 <li>
 Solid statistical foundation: hypothesis testing, confidence intervals, power analysis, multiple comparisons, and causal reasoning
 </li>
 <li>
 Experience defining and maintaining product health metrics, guardrail metrics, and north-star metrics
 </li>
 <li>
 Proven ability to synthesise experiment results and product data into coherent strategic narratives for product and engineering leadership
 </li>
 <li>
 Excellent communication skills, with a track record of influencing product decisions through data
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Proficiency working in Arabic
 </li>
 <li>
 Based in Saudi (Jeddah, Makkah)
 </li>
 <li>
 Experience in e-commerce, marketplace, or SaaS product analytics
 </li>
 <li>
 Familiarity with experimentation platforms (e.g., Eppo, Statsig, LaunchDarkly, Optimizely, or internal tooling)
 </li>
 <li>
 Experience with BI tools (Looker, Metabase, or equivalent) and modern data stacks (dbt, ClickHouse, BigQuery)
 </li>
 <li>
 Knowledge of Bayesian methods, sequential testing, or multi-armed bandit approaches
 </li>
 <li>
 Experience working in the GCC
 </li>
 </ul>
</div>

Staff Data Scientist - Business Analytics

Explore 1673+ Data scientist in Saudi Arabia this May. Find roles across top companies and apply now to boost your career.

1673 data scientist jobs In Saudi Arabia

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Staff Data Scientist 📍 Remote

KFUPM Career Fair- Data Scientist

Staff Data Scientist - Business Analytics