data analyst

business analyst

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business intelligence analyst Jobs in Riyadh

business intelligence analyst

ai & data science expert

data scientist

TMC Middle East

<div>
 <p>
  TMC Middle East is currently engaged in a consulting project with one of the Top Client in KSA.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are seeking a highly capable expert to join our client for this prestigious assignment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role:
  </strong>
 </p>
 <p>
  Position: Senior AI &amp; Data Scientist
 </p>
 <p>
  Location: Onsite &ndash; Riyadh, Saudi Arabia
 </p>
 <p>
  Experience: 10+ Years
 </p>
 <p>
  Department: Data &amp; AI Department
 </p>
 <p>
  <br/>
 </p>
 <p>
  TMC is hiring a Lead AI Data Scientist for a strategic digital transformation initiative for a major company in KSA.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Qualifications:
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  - Expertise in Python, ML frameworks (Scikit-learn, TensorFlow, PyTorch), and data
 </p>
 <p>
  libraries (Pandas, NumPy).
 </p>
 <p>
  - Strong foundation in statistics, machine learning, and applied AI (forecasting, NLP,
 </p>
 <p>
  Internal Only
 </p>
 <p>
  optimization).
 </p>
 <p>
  - Familiarity with containerized deployments (OpenShift, Docker).
 </p>
 <p>
  - Experience building APIs/microservices (FastAPI, Flask) for model integration.
 </p>
 <p>
  - Exposure to cloud ecosystems (Azure, GCP, AWS) is very useful for hybrid or scalable
 </p>
 <p>
  deployments.
 </p>
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  - Awareness of Generative AI concepts (LLMs, embeddings, RAG, prompt design).
 </p>
 <p>
  - Working understanding of Agile delivery frameworks (Scrum/Kanban).
 </p>
 <p>
  Consulting &amp; Behavioral Skills
 </p>
 <p>
  - Excellent presentation and insight-sharing abilities, capable of explaining complex AI
 </p>
 <p>
  outputs to diverse audiences.
 </p>
 <p>
  - Professional, composed, and business-aware consulting demeanor.
 </p>
 <p>
  - Strong collaboration and documentation discipline within Agile teams.
 </p>
 <p>
  - Demonstrated curiosity and commitment to continuous learning and innovation.
 </p>
 <p>
  - Self-driven, structured, and dependable under PMO governance.
 </p>
 <p>
  <br/>
 </p>
 <p>
  - Master&rsquo;s degree in computer science, Data Science, or related field.
 </p>
 <p>
  - 10+ years of professional experience, including 5+ years in AI/ML delivery.
 </p>
 <p>
  - Prior experience in enterprise or industrial AI projects preferred.
 </p>
 <p>
  - Familiarity with OpenShift or hybrid/on-prem MLOps environments is advantageous.
 </p>
</div>


Data Scientist

Capgemini

<div><div><div><p>RIYADH</p><div>
Data Scientist</div><p>
</p></div></div><div></div><div><div><div><div><div><p>
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.</p><div><div><div><div>
Your Role</div></div><div><p>
We are seeking a highly analytical and innovative Data Scientist to join our team. The ideal candidate will be responsible for extracting insights from complex datasets, building predictive models, and supporting data-driven decision-making across manufacturing operations.</p><p><b>
Key responsibilities of this role:</b></p><ul><li>
Collect, clean, and preprocess structured and unstructured data from various sources.</li><li>
Develop and implement statistical models, machine learning algorithms, and data mining techniques.</li><li>
Perform exploratory data analysis to identify trends, patterns, and anomalies.</li><li>
Translate business problems into analytical solutions and communicate findings effectively.</li><li>
Collaborate with cross-functional teams to integrate data science solutions into business processes.</li><li>
Create visualizations and dashboards to present insights to stakeholders.</li><li>
Continuously monitor model performance and update models as needed.</li><li>
Document methodologies, experiments, and results for reproducibility and knowledge sharing.</li></ul></div></div><div><div><div>
Your Profile</div></div><div><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.</li><li>
2&ndash;5 years of experience in data science or advanced analytics, preferably in a manufacturing context.</li><li>
Proficiency in Python, R, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow).</li><li>
Experience with data visualization tools such as Power BI, Tableau, or matplotlib.</li><li>
Strong understanding of statistical analysis, predictive modeling, and data wrangling.</li><li>
Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and big data technologies.</li><li>
Excellent problem-solving and communication skills.</li><li>
Experience with Agile/Scrum methodologies is a plus.</li></ul></div></div><div><div><div>
What You&rsquo;ll Love About Working Here
</div></div><div></div><div><div><ul><li><p>Flexible Work Arrangements&mdash;Work remotely or adjust work hours for a balanced lifestyle.
</p></li></ul></div><div><ul><li><p>Career Growth Opportunities&mdash;Access diverse roles and career development programs.
</p></li></ul></div><div><ul><li><p>Training &amp; Certifications&mdash;Equip yourself with valuable certifications in emerging technologies.
</p></li></ul></div></div></div></div><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div></div><div><div><div>
<div><div>Ref. code</div><div>
284565-en_US</div></div><div><div>
Posted on</div><div>
17 Jul 2025</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Fixed Term Contract</div></div><div><div>
Location</div><div>
RIYADH</div></div><div><div>
Business unit</div><div>
Engineering and RandD Services</div></div><div><div>
Brand</div><div>
Capgemini Engineering</div></div><div><div>
Professional communities</div><div>
Software Engineering</div></div></div></div></div></div></div></div></div><p></p>

New Metrics

<div>
 <p>
  <strong>
   Join Our Team as a Data Scientist!
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  New Metrics is a leading human-centric transformation consultancy, empowering organizations to enhance employee productivity, maximize customer lifetime value, and achieve sustainable growth. Our integrated approach combines advanced technology, real-time insights from structured and unstructured data, and a deep understanding of human behavior. New Metrics delivers end-to-end solutions across the customer lifecycle&mdash;from acquisition to advocacy&mdash;embedding ESG principles throughout. By leveraging data-driven insights and innovative strategies, we optimize customer journeys, boost loyalty, and enable clients to thrive in competitive, customer-focused markets.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Our values&mdash;
  <strong>
   Be Bold, Be Curious, Be Human-Centric
  </strong>
  &mdash;guide everything we do. Our mission is to create meaningful impact by empowering businesses and delivering measurable human value.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Click here to learn more about New Metrics.
 </p>
 <p>
  Click here to apply for the role.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Job
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are seeking a Data Scientist who will lead analytical design, model development, and experimental on across high-impact customer analytics initiatives such as Customer Lifetime Value (CLV), Predictive NPS/CSAT, Churn/Retention, and Customer Segmentation. The ideal candidate has strong hands-on expertise in predictive modelling, large-scale distributed computing (PySpark), and real-world deployment experience. A proven ability to work with large, complex datasets to translate business needs into scalable analytical solutions.
 </p>
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  <br/>
 </p>
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 <p>
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 <p>
  <strong>
   Your Main Duties Will Include:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Customer Analytics &amp; Predictive Modelling
  </strong>
 </p>
 <ul>
  <li>
   Build and maintain CLV models (historical and/or predictive) incorporating revenue, costs, engagement signals, and churn/retention.
  </li>
  <li>
   Develop predictive NPS, satisfaction, and churn models to identify high-risk customers and key drivers of experience.
  </li>
  <li>
   Design customer segmentation (value-based, behavioral, RFM, clustering, predictive) to support targeting, campaigns, and product design.
  </li>
  <li>
   Ensure all models are robust, monitored, and explainable, with clear links to business objectives and measurable impact.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Data Wrangling &amp; Feature Engineering
  </strong>
 </p>
 <ul>
  <li>
   Work with large, complex datasets from multiple sources such as CRM, transactional and interaction data, digital journeys, contact center data, and surveys/VoC.
  </li>
  <li>
   Use PySpark, Python, and SQL to clean, transform, and join data; build scalable feature pipelines.
  </li>
  <li>
   Partner with engineering to productionize models via batch jobs, APIs, and dashboards; ensure reliability and performance.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Evaluation &amp; Explainability
  </strong>
 </p>
 <ul>
  <li>
   Define and track relevant metrics (AUC, F1, uplift, calibration, segment performance, stability, etc.).
  </li>
  <li>
   Use explainability techniques (feature importance, SHAP, or similar) to communicate model behavior clearly.
  </li>
  <li>
   Contribute to documentation, model monitoring, and retraining plans to sustain performance over time.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Stakeholder Engagement &amp; Storytelling
  </strong>
 </p>
 <ul>
  <li>
   Translate business questions into clear analytical problems, hypotheses, and success criteria.
  </li>
  <li>
   Present insights and recommendations to CX, Marketing, Product, Digital, and Operations stakeholders.
  </li>
  <li>
   Prepare concise decks, summaries, and dashboards to support decisions and drive adoption.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Experience
  </strong>
 </p>
 <ul>
  <li>
   4+ years of hands-on experience in Data Science and Predictive Modelling within established or high-growth organizations.
  </li>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.
  </li>
  <li>
   Proven experience in end-to-end delivery of data science solutions&mdash;from problem framing and data preparation to model deployment and monitoring.
  </li>
  <li>
   Demonstrated delivery of at least one (production or advanced PoC) of the following:
  </li>
  <li>
   CLV / Profitability
  </li>
  <li>
   Churn / Propensity
  </li>
  <li>
   Predictive NPS / CSAT
  </li>
  <li>
   Customer segmentation at scale
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical Skills (Must-Have)
  </strong>
 </p>
 <ul>
  <li>
   Strong proficiency in Python (pandas, scikit-learn, MLlib, or similar libraries).
  </li>
  <li>
   Strong proficiency in PySpark and working with large datasets on distributed platforms.
  </li>
  <li>
   Advanced SQL skills for complex querying, data transformation, and performance optimization.
  </li>
  <li>
   Experience using Power BI, Tableau, or similar tools for analytics, dashboards, and data storytelling.
  </li>
  <li>
   Experience with MLflow (or similar) for experiment tracking, model versioning, and lifecycle management.
  </li>
  <li>
   Solid understanding and hands-on experience with core Data Science concepts, including:
  </li>
  <li>
   <strong>
    Supervised learning:
   </strong>
   classification, regression, uplift modelling
  </li>
  <li>
   <strong>
    Unsupervised learning:
   </strong>
   clustering, dimensionality reduction
  </li>
  <li>
   Feature engineering, model tuning, and validation
  </li>
  <li>
   Experience working in a cloud or big data environment (Azure, AWS, GCP, Databricks, or similar).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Qualifications (Bonus)
  </strong>
 </p>
 <ul>
  <li>
   Experience with Experience Management platforms such as Medallia, Qualtrics, or similar.
  </li>
  <li>
   Strong practical MLOps habits (monitoring, drift checks, reproducible pipelines, CI/CD collaboration).
  </li>
  <li>
   Exposure to NLP and text analytics (e.g., survey verbatims, call-center transcripts, complaint logs) applied to customer experience or insight use cases.
  </li>
 </ul>
 <p>
  <em>
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You Can Expect From Us
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  At New Metrics, we are committed to creating an inclusive, flexible, human-centric and supportive work environment.
 </p>
 <p>
  When you join our team, you can expect:
 </p>
 <p>
  1. Exceptional trust based culture that fosters inclusion, creativity, and innovation:
 </p>
 <ul>
  <li>
   91% of employees feel engaged, reflecting our ongoing efforts to deliver the best in class employee experience
  </li>
  <li>
   94% of our employees feel included and have a sense of belonging
  </li>
  <li>
   94% of employees trust their manager
  </li>
 </ul>
 <p>
  2. Collaboration with a passionate and high-performing team that values appreciation of individual attributes and diverse perspectives
 </p>
 <p>
  3. Exposure to a global brand known for its commitment to excellence and making a difference in creating human value
 </p>
 <p>
  4. A comprehensive focus on flexibility, wellness and result orientation in operation
 </p>
 <p>
  5. Strong focus on life-long learning and continuous development, along with opportunities to enhance your skills and knowledge
 </p>
 <p>
  6. Equal opportunities for growth and development, supported by subsidized professional qualifications and paid professional memberships to advance your career
 </p>
 <p>
  7. A commitment to environmental sustainability, creating a positive impact on the world around us
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   Join our passionate team at New Metrics and make a meaningful impact on the world of experience management! Our values, mission, and culture drive us to create flawless experiences that matter. If you're ready to delve deeper and contribute to our vision, apply now. We can't wait to hear from you!
  </em>
 </p>
</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

CodeNinja

About the Company
<br>Aligned with Saudi Arabia’s Vision 2030, we harness the Kingdom’s rapidly developing talent and technological advancements to support economic diversification and drive industry transformation through cutting-edge AI, computer vision, and automation. Our solutions are strategically designed to empower startups and enterprises with a competitive edge by leveraging local talent and infrastructure, advancing the region’s human capital development. Through ethical innovation and transparency-focused partnerships, we actively contribute to the Kingdom’s ambitious objectives, championing a high-tech, sustainable future.
<br>About the role
<br>We are seeking a Senior Data Scientist drive AI adoption, delivery, and value realization across business functions. This role sits at the intersection of business strategy, AI technology, governance, and change management, requiring both strong stakeholder engagement and hands-on technical understanding. The ideal candidate will translate complex AI concepts into business outcomes, define AI use cases, prioritize roadmaps, and ensure responsible, scalable, and compliant AI implementation.
<br>Key Responsibilities
<br><ul>
<li>Engage with business and technical stakeholders to define and drive AI initiatives aligned with organizational goals.</li>
<li>Translate complex AI and GenAI concepts into clear, business-friendly language for leadership and end users.</li>
<li>Define AI use cases, prioritize roadmaps, and align initiatives with measurable business value.</li>
<li>Lead change management, user adoption, training, enablement sessions, and workshops for AI solutions.</li>
<li>Define KPIs, measure ROI, and track performance of AI solutions post-implementation.</li>
<li>Manage AI programs and projects, including planning, execution, risk management, and issue escalation.</li>
<li>Ensure adherence to AI governance, ethics, compliance, and risk management frameworks.</li>
<li>Collaborate cross-functionally to resolve issues and continuously improve AI delivery outcomes.</li>
</ul>
<b>Requirements:</b><br>
<b>Requirements:</b><br>
<ul>
<li>Strong experience in stakeholder management, business communication, and cross-functional collaboration.</li>
<li>Proven ability to drive change management and user adoption for technology initiatives.</li>
<li>Experience defining KPIs, measuring ROI, and tracking performance for AI or digital solutions.</li>
<li>Strong understanding of AI/ML and GenAI concepts, including LLMs, RAG, and prompt engineering.</li>
<li>Hands-on experience with Python, SQL, and machine learning frameworks.</li>
<li>Experience with MLOps, cloud platforms, and model lifecycle management.</li>
<li>Knowledge of data engineering fundamentals, data pipelines, and analytics workflows.</li>
<li>Understanding of solution architecture, APIs, microservices, and system integrations.</li>
<li>Strong problem-solving, project management, and program management capabilities.</li>
</ul>
Why Join Us
<br><ul>
<li>Lead high-impact AI and GenAI initiatives that directly influence business outcomes.</li>
<li>Work at the intersection of strategy, technology, and transformation.</li>
<li>Collaborate with global teams across AI, engineering, and business domains.</li>
<li>Gain exposure to cutting-edge AI platforms, governance models, and enterprise-scale deployments.</li>
<li>Grow into senior leadership roles in AI strategy, transformation, or delivery.</li>
</ul>
Disclaimer
<br>CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, and performance. Female and minorities are strongly encouraged and preferred to apply for the role.

<div>
 <strong>
  About Mozn
  <br/>
  <br/>
 </strong>
 Mozn is a rapidly growing and leading data science &amp; product development firm based in Riyadh with a proven track record of excellence in supporting and growing the analytics ecosystem in Saudi Arabia. Mozn is a trusted analytics partner for the largest government organizations in Saudi Arabia, as well as many large corporations and startups. We are in a critical stage of scaling the company to build institutional analytics knowledge within Mozn and Saudi Arabia. It is an exciting time to work in Saudi Arabia; through Vision 2030, the rate of social and industrial change is staggering.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We are searching for a strategic and inquisitive Data Scientist. As a member of Mozn&rsquo;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>
  What You'll Do
  <br/>
  <br/>
 </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&rsquo;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>
   Staying informed with new frameworks and technological advances to increase Mozn&rsquo;s efficiency and productivity.
  </li>
  <li>
   Coordinate with internal teams to set up and execute solution development strategies.
  </li>
  <li>
   Overseeing a large technical area of work, defining project priorities, and technical solutions.
   <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>
   Relevant experience as a data scientist, or in similar fields that require developing ML/AI models. Over 3 years for B.S. degree and over 2 years for M.S.
  </li>
  <li>
   Programming experience over two years in software development, including object-oriented programming, and data manipulation using Python or other languages.
  </li>
  <li>
   Good understanding of statistics and probability, such as Hidden Markov Models, Probabilistic Graphical models, or Bayesian inference.
  </li>
  <li>
   Applied experience in machine learning, such as diagnosing models and modifying loss functions.
  </li>
  <li>
   Experience in deep learning frameworks, such as PyTorch.
  </li>
  <li>
   Expertise in Natural Language Understanding and/or Probabilistic Machine Learning applications.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <strong>
  <strong>
   Why Mozn?
   <br/>
   <br/>
  </strong>
 </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>


Senior Data Scientist - Riyadh

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