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data consultant - governance/privacy - riyadh

data scientist

MBC GROUP

<div>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Model Development &amp; Implementation
   </strong>
   : Design, build, and deploy machine learning models to solve complex business problems. These may include predictive analytics, recommendation systems, anomaly detection, classification, and other machine learning tasks.
  </li>
  <li>
   <strong>
    AI Solutions
   </strong>
   : Create and optimize AI-driven solutions that can automate processes, improve decision-making, and enhance user experiences across various business functions.
  </li>
  <li>
   <strong>
    Data Analysis &amp; Exploration
   </strong>
   : Conduct thorough analysis of large datasets to uncover patterns, trends, and insights that inform business strategies and model development.
  </li>
  <li>
   <strong>
    Collaborative Problem Solving
   </strong>
   : Partner with business stakeholders to understand their goals and challenges, and translate these into data-driven solutions and models that align with the organization&rsquo;s objectives.
  </li>
  <li>
   <strong>
    Model Optimization
   </strong>
   : Continuously monitor, fine-tune, and improve the performance of machine learning models through evaluation, experimentation, and iteration.
  </li>
  <li>
   <strong>
    Scalability &amp; Performance
   </strong>
   : Ensure that AI models and solutions can scale effectively in production environments, handling large volumes of data while maintaining high performance and reliability.
  </li>
  <li>
   <strong>
    Stay Current with AI Trends
   </strong>
   : Keep up-to-date with the latest advancements in AI, machine learning, and data science to propose innovative techniques and technologies that can drive competitive advantage.
  </li>
  <li>
   <strong>
    Reporting &amp; Communication
   </strong>
   : Present findings, model results, and actionable insights to both technical and non-technical stakeholders, ensuring clarity and alignment on business impacts.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
  </li>
  <li>
   Proven experience (5+ years) as a Data Scientist, with a focus on machine learning, AI, and advanced analytics.
  </li>
  <li>
   Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  </li>
  <li>
   Strong proficiency in programming languages such as Python, R, or similar.
  </li>
  <li>
   Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Keras) and tools for model development, training, and evaluation.
  </li>
  <li>
   Expertise in data manipulation and analysis using tools like Pandas, NumPy, SQL, or similar.
  </li>
  <li>
   Solid understanding of statistical methods, hypothesis testing, and data modeling techniques.
  </li>
  <li>
   Experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying models in cloud environments is a plus.
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


Data Scientist

aramcoservices

<p></p><div><div><div><div><div><b>Job Req ID: </b>17086
</div></div></div></div><div><div><div><div><b>Description:
</b><div><b>Aramco energizes the world economy.</b></div>
<div>Aramco occupies a special position in the global energy industry. We are one of the world&rsquo;s largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer.</div>
<div>With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco&rsquo;s value to society.</div>
<div>Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations&rsquo; spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom&rsquo;s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply.</div>
<div>We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.</div>
<div><div><div><div>
Overview</div>
</div><div><div>
We are seeking a Data Scientist to join our Global Optimizer Department.</div><br>
<div></div>
<div>
The Global Optimizer Department is responsible for driving commercial optimization across Saudi Aramco&rsquo;s integrated downstream value chain, which includes both domestic and international refining assets. This involves identifying and capturing optimization opportunities that enhance system netback and deliver incremental value to shareholders. The department also collaborates closely with downstream assets, Aramco Trading Company, and key stakeholders to support informed decision-making and agile responses to dynamic market conditions by leveraging advanced analytics, data modeling, and real-time market insights,</div><br>
<div></div>
<div>
Your primary role is to develop and deploy digital solutions that enhance the iGO (intelligent Global Optimizer) platform, enabling data-driven optimization decision support. You will also design and implement advanced analytical models, automate data pipelines, and apply machine learning techniques to improve forecasting, scenario modeling, and optimization sensitivity analysis. By transforming complex data into actionable insights, you will support forward planning, simulation, and continuous learning to refine strategies and maximize the value captured across Saudi Aramco's refining and petrochemical assets.</div></div></div><div><div><div>
Key Responsibilities</div>
</div><div><div>
As the successful candidate you will be required to perform the following:</div><br>
<div></div>
<ul>
<li>Develop and implement advanced data models and machine learning algorithms to support optimization decision-making within the iGO platform.</li>
<li>Design and automate data pipelines that integrate, cleanse, and enrich large datasets from multiple sources to ensure high-quality inputs for optimization models.</li>
<li>Build and maintain predictive and prescriptive analytics tools that enhance scenario modeling, forecasting, and back casting capabilities to improve optimization throughput.</li>
<li>Assess the effectiveness of existing data-driven models and continuously refine them based on feedback loops and performance metrics.</li>
<li>Perform statistical analysis and sensitivity analysis to identify key optimization levers and prioritize high-impact opportunities across refining and petrochemical assets.</li>
<li>Collaborate with cross-functional teams to translate complex business requirements into scalable digital solutions that support agile and responsive optimization.</li>
<li>Ensure that all digital solutions align with enterprise data standards, cybersecurity protocols, and overall IT architecture.</li>
<li>Document technical specifications and maintain version-controlled repositories to support continuous development and model governance.</li>
</ul></div></div><div><div><div>Minimum Requirements</div>
</div><div><ul><li>You will hold a Bachelor&rsquo;s degree in Computer Science, Data Science, Applied Mathematics, or a related field from a recognized and approved program. An advanced degree is preferred.</li>
<li>You will have at least 10 years&rsquo; experience in data analytics, machine learning, or quantitative modeling, including at least 5 years in developing enterprise-level AI and machine learning applications.</li>
<li>You must have strong programming skills in Python, SQL, and experience with data science libraries and frameworks such as Pandas, Scikit-learn, TensorFlow, or PyTorch.</li>
<li>You will have the ability to design and manage data pipelines using modern data engineering tools such as Apache Airflow, Spark, or Kafka.</li>
<li>You will be able to demonstrate a proven track record in deploying analytics solutions in an industrial or energy sector environment.</li>
<li>You will have strong analytical and problem-solving skills, with the ability to work with cross-functional teams in a dynamic and complex environment.</li>
<li>You will have excellent communication and interpersonal skills to effectively present findings and technical concepts to both technical and non-technical stakeholders.</li>
<li>You will also have a solid understanding of cloud platforms such as GCP, Cloudera, Databricks, Palantir Foundry, AWS or Azure, with experience in deploying and managing models in production environments.</li>
<li>Knowledge of optimization techniques, linear programming, or operations research is preferred.</li>
</ul></div></div><div><div><div>Work Location and Work Schedule</div>
</div><div><p><b>
Work Location:</b> Within Saudi Arabia &ndash; To be specified in Job offer</p>
<p><b>
Work Schedule:</b> Full Time - To be specified in Job offer</p></div></div><div><div><div>
Job Post Duration</div>
</div><div><p>
Job posting start date: 1/14/2026</p>
<p>
Job posting end date: 12/30/2026</p></div></div></div><div><b>
Working environment
</b></div><div>Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.
</div><div>At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world&rsquo;s biggest technical, logistical and environmental challenges, we invest heavily in talent development.
</div><div>We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs &ndash; one of the largest in the world.</div><br>
<div></div>
</div></div></div></div><div><div><div><div><b>Country/Region: </b>SA</div></div></div></div></div><p></p>

Huspy

<div>
 <strong>
  The Story So Far: We&rsquo;re Building a Global Brand in Real Estate
  <br/>
  <br/>
 </strong>
 Huspy is one of the leading property technology companies in EMEA.Launched in 2020, we now operate in multiple cities across the UAE and Spain, expanding into Saudi Arabia and 3 more European markets by 2026.
 <br/>
 <br/>
 Today, we own the largest portion of the UAE mortgage market and are one of the fastest-growing players in every European city we&rsquo;ve entered.We&rsquo;ve raised over $140 million (Series A and Series B) from the world&rsquo;s top investors, including Sequoia Capital, Founders Fund and Balderton Capital, to reshape the homebuying journey through powerful technology and agent-first tools.
 <br/>
 <br/>
 We&rsquo;ve built a SuperApp that empowers real estate agents and mortgage brokers, bringing cutting‑edge technology to one of the world&rsquo;s most traditional industries. We&rsquo;re transforming how property transactions happen &mdash; faster, smarter, and better for everyone.We&rsquo;re not slowing down.
 <br/>
 <br/>
 The question is: will you be part of what&rsquo;s next?
 <br/>
 <br/>
 <strong>
  The Main Event: What You&rsquo;ll Drive, Build, and Own
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Real Estate Market Modeling: Build models applied to challenges such as valuation/pricing leveraging techniques from classic supervised ML to more advanced approaches.
  </li>
  <li>
   Multimodal Embeddings: Create vector representations of Real Estate entities, such as listings, combining images, text, and structured attributes to power search, matching, deduping, or recommendations.
  </li>
  <li>
   Data Analysis &amp; Experimentation: Use SQL/Python to extract, clean, and analyze data; design experiments and evaluate model-product impact with robust metrics.
  </li>
  <li>
   Model Operationalization: Ship models to production with capabilities such as monitoring, automated rollout, or CI/CD (in partnership with engineering).
  </li>
  <li>
   Cross-functional Delivery: Partner with product, engineering, and operations teams to translate business problems into scalable ML solutions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  The Perfect Match: What It Takes to Succeed at Huspy
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proven Experience: 4&ndash;8 years in applied data science/ML, delivering models that move real-world KPIs.
  </li>
  <li>
   SQL &amp; Python Mastery: Strong in frameworks such as Pandas/NumPy/Scikit-learn...building reliable data pipelines, model training and evaluation.
  </li>
  <li>
   MLOps Fundamentals: Experience deploying/maintaining models (batch or real-time), versioning, CI/CD basics, observability, and reproducible training.
  </li>
  <li>
   Communication &amp; Ownership: Clear with technical/non-technical stakeholders; can scope, prioritize, and explain tradeoffs.
  </li>
  <li>
   Comfortable with uncertainty, data quality issues, leakage risks, and market dynamics (location, seasonality, inventory shifts).
  </li>
  <li>
   Nice to Have: Software engineering experience; multimodal/vision experience; voice AI (ASR/NLU) exposure.
  </li>
  <li>
   Academic Background: Bachelor&rsquo;s in STEM (Master&rsquo;s a plus).
  </li>
 </ul>
</div>


Mozn

<div>
 <strong>
  About Mozn
  <br/>
  <br/>
 </strong>
 Mozn is a rapidly growing technology firm revolutionising the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia and it&rsquo;s working to realise Vision 2030 with a proven track record of excellence in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. Mozn is the trusted AI technology partner for some of the largest government organizations, as well as many large corporations and startups.
 <br/>
 <br/>
 We are in an exciting stage of scaling the company to provide AI-powered products and solutions both locally and globally that ensure the growth and prosperity of our digital humanity. It is an exciting time to work in the field of AI to create a long-lasting impact.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  <strong>
   What you&rsquo;ll d
  </strong>
 </strong>
 <strong>
  <strong>
   o
   <br/>
   <br/>
  </strong>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <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).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <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>


Data Scientist III

Devoteam

<div>
 <strong>
  Tech for People Unlocks the Future
  <br/>
  <br/>
 </strong>
 At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.
 <br/>
 <br/>
 With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.
 <br/>
 <br/>
 <strong>
  Devoteam Culture &amp; Values:
  <br/>
  <br/>
 </strong>
 True innovation is born from a powerful culture, fused with meaningful values.
 <br/>
 <br/>
 <strong>
  Culture:
  <br/>
  <br/>
 </strong>
 <strong>
  Fair and courageous
  <br/>
  <br/>
 </strong>
 Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.
 <br/>
 <br/>
 <strong>
  Ambition and results
  <br/>
  <br/>
 </strong>
 Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.
 <br/>
 <br/>
 <strong>
  Learning and innovating
  <br/>
  <br/>
 </strong>
 Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.
 <br/>
 <br/>
 <strong>
  Caring and sharing
  <br/>
  <br/>
 </strong>
 A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration.
 <br/>
 <br/>
 At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,
 <br/>
 <br/>
 <strong>
  Values:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Respect
  </li>
  <li>
   Frankness
  </li>
  <li>
   Passion
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.
 <br/>
 <br/>
 To know more about us, please visit: www.devoteam.com
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 As a Senior Data Scientist\Machine Learning Engineer at Devoteam, you will be responsible for developing, implementing, and optimizing advanced data-driven algorithms, including classification, regression, recommender systems, and user segmentation models. You will collaborate with cross-functional teams to identify opportunities for improvement and deliver impactful insights that drive business success
 <br/>
 <br/>
 Key responsibilities :
 <br/>
 <br/>
 <ul>
  <li>
   Identifying relevant data sources for business needs.
  </li>
  <li>
   Processing, cleansing, and Organising data into usable formats.
  </li>
  <li>
   Conduct in-depth research and analysis on large datasets to uncover hidden patterns, correlations, and trends
  </li>
  <li>
   Apply data mining techniques such as association rule discovery, classification, and clustering
  </li>
  <li>
   Conduct thorough EDA to understand underlying patterns, correlations, and anomalies in complex datasets
  </li>
  <li>
   Transform and preprocess raw data to create meaningful features that can improve model performance.
  </li>
  <li>
   Develop, evaluate, and deploy predictive machine learning models to drive actionable insights.
  </li>
  <li>
   Communicate complex data findings in a clear and concise manner to non-technical stakeholders
  </li>
  <li>
   Stay up-to-date with the latest advancements in data science, machine learning, and industry best practices, continuously seeking opportunities to improve methodologies and processes.
  </li>
  <li>
   Advanced Technical Skills: Mastery of programming languages like Python or R, expertise in data manipulation, machine learning algorithms, and statistical analysis.
  </li>
  <li>
   Data Manipulation:** Proficiency in working with large datasets, data cleaning, preprocessing, and transforming data into usable formats.
  </li>
  <li>
   Machine Learning Expertise:** Experience in selecting and implementing appropriate machine learning algorithms, model evaluation, hyperparameter tuning, and dealing with bias and fairness issues.
  </li>
  <li>
   Build conversational AI applications.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Engineering, IT or equivalent
  </li>
  <li>
   + 7 year experience within the data science field.
  </li>
  <li>
   Has a strong knowledge and proven experience in following areas: SQL, statistics , machine learning and programming
  </li>
  <li>
   Strong expertise in various supervised and unsupervised machine learning algorithms such as Time Series Forecasting ,regression ,Clustering,Classification and deep learning methods
  </li>
  <li>
   Experience working with Agile methodologies
  </li>
  <li>
   Ability to communicate with both technical and non-technical audiences
  </li>
  <li>
   Excellent English and Arabic communication skills (written &amp; spoken)
  </li>
  <li>
   Analytical mindset and Problem-solving skills
  </li>
  <li>
   Alteryx or Dataiku experience is a must
  </li>
  <li>
   MLOps experience is a plus
  </li>
  <li>
   Practical Knowledge of big data systems is a plus
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Information
  <br/>
  <br/>
 </strong>
 BU: Data Intelligence
 <br/>
 <br/>
 Senio Level
</div>


Senior Data Scientist

UMATR

<div>
 <p>
  <strong>
   Title:
  </strong>
  Lead Data Scientist &ndash; Integrity &amp; Safety
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Tech Stack:
  </strong>
  Python, SQL, PyTorch, Transformers, Scikit-learn, OpenCV, NLP, Multimodal (CLIP/ViT + BERT), Graph Learning, Kafka/Redis Streams
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You&rsquo;ll Do:
  </strong>
 </p>
 <p>
  As the Senior Data Scientist for Integrity &amp; Trust, you will protect millions of buyers and sellers by building AI-driven defense systems that detect fraud, remove counterfeit products, and maintain platform quality. Your work directly impacts trust and growth in a high-COD environment, ensuring the platform remains secure and reliable.
 </p>
 <p>
  You will:
 </p>
 <ul>
  <li>
   Build and deploy supervised and unsupervised ML models for policy violation, counterfeit, and fraud detection.
  </li>
  <li>
   Lead and grow the Integrity, Safety &amp; Trust pod, mentoring applied data scientists and delivering end-to-end projects with measurable business outcomes.
  </li>
  <li>
   Design feature pipelines leveraging product text, images, seller behavior, and transaction data.
  </li>
  <li>
   Apply NLP models for text classification, entity extraction, and multilingual moderation (Arabic + English).
  </li>
  <li>
   Utilize multimodal architectures (CLIP, ViT + BERT) for image&ndash;text cross-validation.
  </li>
  <li>
   Develop graph-based and anomaly detection models to identify coordinated or suspicious merchant activity.
  </li>
  <li>
   Collaborate with product, legal, and operations teams to define integrity policies and feedback loops.
  </li>
  <li>
   Implement dashboards and real-time monitoring for detection and escalation (Elastic, Grafana).
  </li>
  <li>
   Optimize model precision/recall tradeoffs balancing enforcement and user experience.
  </li>
  <li>
   Work with graph learning, anomaly detection, and multimodal data pipelines.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Who They Are:
  </strong>
 </p>
 <p>
  You&rsquo;ll be joining a high-growth e-commerce platform focused on marketplace trust and safety. The team operates in a complex, fast-paced environment where your AI solutions will directly impact millions of users. This is a chance to lead a critical function, scale a data science team, and implement cutting-edge AI techniques to ensure platform integrity.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What Is In It For You:
  </strong>
 </p>
 <ul>
  <li>
   Medical Health Insurance
  </li>
  <li>
   Performance Bonus
  </li>
  <li>
   Additional perks and growth opportunities
  </li>
  <li>
   35k SAR
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Who You Are:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or a related field
  </li>
  <li>
   5+ years of applied ML experience, with 2+ years in Trust &amp; Safety, Integrity, or Fraud Detection systems
  </li>
  <li>
   Experience with multimodal text-image modeling (OCR, CLIP/ViT, layout analysis), taxonomy/attribute extraction, policy classification, and Arabic/English content moderation
  </li>
  <li>
   Strong Python, SQL, and ML library skills (PyTorch, Transformers, Scikit-learn, OpenCV)
  </li>
  <li>
   Experience developing streaming or near-real-time detection systems (Kafka, Redis Streams, or equivalent)
  </li>
  <li>
   Knowledge of e-commerce ecosystems, product policy enforcement, and counterfeit/low-quality detection is a plus
  </li>
  <li>
   Proven ability to build and grow applied data science teams and deliver measurable business outcomes
  </li>
  <li>
   Excellent analytical reasoning, communication, and cross-functional collaboration skills, with a strong ability to balance enforcement precision with business impact
  </li>
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Lead Data Scientist - Integrity & Safety (Arabic Speaking)

Narsun

<p><b>Role Overview</b></p><p>We are seeking Senior Data Scientists for a project-based engagement. The role will start upon project award and is limited to the project duration. The Senior Data Scientist will lead advanced analytics initiatives, build predictive models, perform anomaly detection, and support AI experimentation to drive actionable insights for the project.</p><p><b>Key Responsibilities</b></p><ul><li>Develop predictive, prescriptive, and machine learning models to support business objectives.</li><li>Perform anomaly detection, trend analysis, and statistical modeling on complex datasets.</li><li>Design and execute AI/ML experiments to validate hypotheses and optimize performance.</li><li>Collaborate with data engineers, architects, and business stakeholders to ingest, clean, and model data.</li><li>Communicate insights, visualizations, and recommendations to senior stakeholders.</li><li>Ensure best practices in data quality, reproducibility, and model governance are followed.</li></ul><p><b>Required Qualifications &amp; Experience</b></p><ul><li>6&ndash;10+ years&rsquo; experience in data science, machine learning, or advanced analytics.</li><li>Strong expertise in Python, R, SQL, or equivalent tools.</li><li>Proven experience in predictive modeling, anomaly detection, and AI experimentation.</li><li>Experience with cloud platforms (AWS, Azure, GCP) and ML frameworks (TensorFlow, PyTorch, scikit-learn).</li><li>Strong problem-solving skills and ability to work in fast-paced, project-based environments.</li><li>Excellent communication and visualization skills to convey insights to technical and non-technical stakeholders.</li></ul><p><b>Engagement Model</b></p><ul><li>Project-based / contractual role</li><li>Engagement begins upon project award and continues for the project duration</li><li>Full-time commitment during active project phases</li></ul><p>Job Type: Contract</p>

Senior Data Scientist (Project-Based / Contractual)

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Lead Data Scientist - Integrity & Safety (Arabic Speaking)

Senior Data Scientist (Project-Based / Contractual)