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data scientist

MOZN

<div>
 <strong>
  About Mozn
  <br/>
  <br/>
 </strong>
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <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

Discovered MENA

<div>
 <p>
  💻 Staff Data Scientist (Business Analytics)
 </p>
 <p>
  📍 Remote
 </p>
 <p>
  <br/>
 </p>
 <p>
  We&rsquo;re hiring a
  <strong>
   Staff Data Scientist (Business Analytics)
  </strong>
  to lead strategic analytics and causal measurement for high-impact growth initiatives.
 </p>
 <p>
  <br/>
 </p>
 <p>
  In this role, you&rsquo;ll build the frameworks that guide leadership decisions&mdash;forecasting outcomes, sizing opportunities, measuring ROI, and uncovering true incrementality across the business. You&rsquo;ll work closely with senior stakeholders to ensure resources are directed toward the highest-value opportunities.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is a senior individual contributor role for someone who combines deep statistical expertise with strong business judgment and the ability to communicate insights clearly.
 </p>
 <p>
  <br/>
 </p>
 <p>
  🔍 What You&rsquo;ll Do
 </p>
 <ul>
  <li>
   Design and maintain forecasting models for revenue, GMV, merchant growth, and other key drivers
  </li>
  <li>
   Lead opportunity sizing across new products, pricing strategies, and market expansion efforts
  </li>
  <li>
   Develop causal measurement frameworks (e.g., synthetic control, diff-in-diff, geo-experiments) to evaluate true business impact
  </li>
  <li>
   Build a scalable measurement playbook covering incrementality, attribution, and counterfactual analysis
  </li>
  <li>
   Create segmentation and scoring models to drive prioritisation across sales, marketing, and merchant success
  </li>
  <li>
   Define and evolve decision-grade metrics and KPIs with Finance, Product, and Commercial teams
  </li>
  <li>
   Translate complex analyses into clear, actionable insights for senior leadership
  </li>
  <li>
   Mentor and elevate analytical rigor across the data science team
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  ✅ What I'm Looking For
 </p>
 <ul>
  <li>
   7+ years of experience in data science, product analytics, or applied statistics within a tech environment
  </li>
  <li>
   Strong experience designing, running, and analysing large-scale A/B experiments (including pitfalls like SRM, peeking, and novelty effects)
  </li>
  <li>
   Deep understanding of event tracking and analytics instrumentation best practices
  </li>
  <li>
   Advanced proficiency in SQL and Python (pandas, scipy, statsmodels, etc.)
  </li>
  <li>
   Solid grounding in statistics: hypothesis testing, power analysis, causal inference, and experimentation design
  </li>
  <li>
   Experience defining product health, guardrail, and north-star metrics
  </li>
  <li>
   Proven ability to translate data into strategic recommendations
  </li>
  <li>
   Strong communication skills with experience influencing senior stakeholders
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  🌟 Bonus points if you:
 </p>
 <ul>
  <li>
   Are fluent in Arabic language
  </li>
  <li>
   Based in Saudi Arabia (Jeddah or Makkah preferred)
  </li>
  <li>
   Experience in e-commerce, marketplaces, or SaaS environments
  </li>
  <li>
   Familiarity with experimentation tools (Eppo, Statsig, LaunchDarkly, Optimizely)
  </li>
  <li>
   Experience with BI tools (Looker, Metabase) and modern data stacks (dbt, ClickHouse, BigQuery)
  </li>
  <li>
   Knowledge of Bayesian methods, sequential testing, or bandit algorithms
  </li>
  <li>
   Experience working in the GCC region
  </li>
 </ul>
 <p>
 </p>
</div>


Staff Data Scientist 📍 Remote

Takamol Holding

<div>
 <p>
  The
  <strong>
   Senior Data Scientist Specialist
  </strong>
  is responsible for analyzing complex data related to customer behavior, product performance, and business operations to provide actionable insights that drive strategic decisions. This role combines deep analytical skills with a business-oriented mindset, working closely with product, marketing, and customer experience teams to identify trends, optimize products, and enhance customer satisfaction. The Senior Data Scientist will leverage advanced statistical models, machine learning, and data visualization to uncover insights and guide decision-making.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Key Responsibilities:
   </em>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Analyze customer data to identify behavior patterns, segmentation opportunities, and churn drivers, supporting initiatives to improve customer engagement and retention.
  </li>
  <li>
   Assess product performance through data-driven insights, identifying areas for improvement, new features, and potential optimizations to increase product value and customer satisfaction.
  </li>
  <li>
   Develop predictive models and forecasting techniques to support customer lifecycle management, product adoption trends, and demand forecasting.
  </li>
  <li>
   Work closely with product, marketing, and customer experience teams to translate business needs into analytical solutions, fostering data-driven decision-making.
  </li>
  <li>
   Design and conduct A/B tests and experiments to measure the impact of new features, marketing campaigns, and product changes on customer behavior and satisfaction.
  </li>
  <li>
   Create and maintain reports and dashboards to track key business metrics related to customer and product performance, ensuring alignment with organizational goals.
  </li>
  <li>
   Present complex data insights in a clear and accessible manner to stakeholders, using data visualization techniques to support storytelling and decision-making.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Required Skills &amp; Qualifications:
   </em>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Statistics, Data Science, Economics, Econometrics, Quantitative Finance, Mathematics, Physics, or a related field.
  </li>
  <li>
   4+ years of experience in data science, analytics, or a similar role, with a focus on customer and product analysis.
  </li>
  <li>
   Data Analysis, Statistical Modeling and Machine Learning.
  </li>
  <li>
   Customer &amp; Product Insights.
  </li>
  <li>
   Data Visualization &amp; Storytelling.
  </li>
  <li>
   Experimentation &amp; A/B Testing.
  </li>
  <li>
   Familiarity with CDPs and Product Analytics Tools.
  </li>
  <li>
   Agile Environment Experience.
  </li>
 </ul>
</div>


Senior Data Scientist Specialist

McKinsey & Company

<div>
 <strong>
  Who You'll Work With
  <br/>
  <br/>
 </strong>
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 <br/>
 <br/>
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 <br/>
 <br/>
 When you join us, you will have:
 <br/>
 <br/>
 <ul>
  <li>
   Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  </li>
  <li>
   A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  </li>
  <li>
   Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  </li>
  <li>
   World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your Impact
  <br/>
  <br/>
 </strong>
 In the role of a Capabilities &amp; Insights Analytics Analyst, you will be part of our consulting teams with a focus on quantitative analyses and AI/ML approaches, continuously developing our portfolio of data-driven solutions and innovative approaches.
 <br/>
 <br/>
 You will work closely with our healthcare clients from various sectors such as public bodies, health insurance companies, or providers, utilizing your project management skills and communication with diverse stakeholders.
 <br/>
 <br/>
 As a Healthcare Analytics Analyst, you are expected to handle large datasets, particularly in analysis and modeling. Your daily tasks will include analyzing and modeling large data sets, as well as working closely with our Data Engineers in building and maintaining our proprietary platforms and solutions. You will develop dashboards and ML/AI models, utilizing both low-code/no-code tools and Python and visualization tools.
 <br/>
 <br/>
 In daily operations, you will collaborate closely with our Data Engineering colleagues, our Knowledge and Insights experts, and our consulting teams to prepare and execute client work. Besides serving clients as part of an engagement, you will be helping to build healthcare assets and knowledge, driving the firm&rsquo;s proprietary innovation portfolio.
 <br/>
 <br/>
 We offer challenging tasks in an exceptionally dedicated team with many opportunities for further growth and personal development.
 <br/>
 <br/>
 <strong>
  Your Qualifications and Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Successfully completed degree in computer or data analytics/science, ideally combined with biostatistics, bioinformatics or epidemiology
  </li>
  <li>
   3+ years of professional experience in a relevant field (e.g., as a Data Analyst/Scientist, BI, or consulting)
  </li>
  <li>
   Solid understanding and application of Programming in Python and/or R
  </li>
  <li>
   Experience with machine learning frameworks (TensorFlow, PyTorch) and data visualization tools (Tableau, Power BI, Plotly)
  </li>
  <li>
   Familiarity with SQL and data querying from relational databases or cloud-based environments
  </li>
  <li>
   Understanding of electronic health record structures, clinical terminologies (ICD, CPT, SNOMED) and health data standards such as HL7 and FHIR
  </li>
  <li>
   Excellent problem-solving skills, particularly in analytical and quantitative areas
  </li>
  <li>
   Strong entrepreneurial mindset with the motivation to continuously improve the status quo and drive this independently
  </li>
  <li>
   Willingness and ability to travel to client and McKinsey locations within and outside the country
  </li>
  <li>
   Ability to work collaboratively in a team environment and effectively with people at all levels in an organization
  </li>
  <li>
   Excellent written and verbal communication skills in Arabic and English
  </li>
 </ul>
</div>


Capabilities & Insights Analytics Analyst - Healthcare

<div><div><div><div><div><div><div>Job ID: 98254</div></div></div></div><div></div><div><ul><div>
Riyadh</div></ul></div><div></div><div><div><div><br>
</div></div></div></div><div><p>
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You&rsquo;ve come to the right place.</p><div><p>
YOUR IMPACT</p><div><div><p>
In the role of a Capabilities &amp; Insights Analytics Analyst, you will be part of our consulting teams with a focus on quantitative analyses and AI/ML approaches, continuously developing our portfolio of data-driven solutions and innovative approaches.</p><p></p><p>
You will work closely with our healthcare clients from various sectors such as public bodies, health insurance companies, or providers, utilizing your project management skills and communication with diverse stakeholders.</p><p></p><p>
As a Healthcare Analytics Analyst, you are expected to handle large datasets, particularly in analysis and modeling. Your daily tasks will include analyzing and modeling large data sets, as well as working closely with our Data Engineers in building and maintaining our proprietary platforms and solutions. You will develop dashboards and ML/AI models, utilizing both low-code/no-code tools and Python and visualization tools.</p><p></p><p>
In daily operations, you will collaborate closely with our Data Engineering colleagues, our Knowledge and Insights experts, and our consulting teams to prepare and execute client work. Besides serving clients as part of an engagement, you will be helping to build healthcare assets and knowledge, driving the firm&rsquo;s proprietary innovation portfolio.</p><p></p><p>
We offer challenging tasks in an exceptionally dedicated team with many opportunities for further growth and personal development.</p></div></div></div><div><p>
YOUR GROWTH</p><div><p>
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.</p><p></p><p>
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.</p><p></p><p>
When you join us, you will have:</p><p></p><div><ul><li>
Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.</li><li>
A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.</li><li>
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.</li><li>
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.</li></ul></div></div></div></div></div><div><div><div><p>
YOUR QUALIFICATIONS AND SKILLS</p><div><div><ul><p>
Successfully completed degree in computer or data analytics/science, ideally combined with biostatistics, bioinformatics or epidemiology</p><p>
3+ years of professional experience in a relevant field (e.g., as a Data Analyst/Scientist, BI, or consulting)</p><p>
Solid understanding and application of Programming in Python and/or R</p><p>
Experience with machine learning frameworks (TensorFlow, PyTorch) and data visualization tools (Tableau, Power BI, Plotly)</p><p>
Familiarity with SQL and data querying from relational databases or cloud-based environments</p><p>
Understanding of electronic health record structures, clinical terminologies (ICD, CPT, SNOMED) and health data standards such as HL7 and FHIR</p><p>
Excellent problem-solving skills, particularly in analytical and quantitative areas</p><p>
Strong entrepreneurial mindset with the motivation to continuously improve the status quo and drive this independently</p><p>
Willingness and ability to travel to client and McKinsey locations within and outside the country</p><p>
Ability to work collaboratively in a team environment and effectively with people at all levels in an organization</p><p>
Excellent written and verbal communication skills in Arabic and English</p></ul></div></div></div></div></div><div><div><div><div>
Please review the additional requirements regarding essential job functions of McKinsey colleagues.</div>
<div>Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.</div></div></div></div></div>

MCG Talent

<div>
 <p>
  <strong>
   We are seeking a data-driven professional to join our client's team as a Data Analyst. Previous experience working in FS/Fintech is crucial in order to be considered.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The ideal candidate will possess a strong understanding of data and be able to leverage data analytics to optimize our campaigns and strategies. You will be responsible for collecting, analyzing, and interpreting data to inform decision-making and drive results.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Previous experience working in SG is preferred with trading/brokerage experience a +.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Develop and implement data-driven strategies to measure and analyze campaigns.
  </li>
  <li>
   Collect and analyze data from various sources (social media, media monitoring, website analytics, etc.).
  </li>
  <li>
   Identify key performance indicators (KPIs) and develop reporting dashboards.
  </li>
  <li>
   Provide actionable insights to the team to inform decision-making.
  </li>
  <li>
   Utilize data analytics tools to uncover trends and patterns in audience behavior.
  </li>
  <li>
   Collaborate with cross-functional teams to integrate data insights into overall business strategy.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The Ideal Candidate:
  </strong>
 </p>
 <ul>
  <li>
   Strong analytical skills and ability to translate data into actionable insights.
  </li>
  <li>
   Experience in using data analytics tools and platforms.
  </li>
  <li>
   Understanding of digital marketing and social media analytics.
  </li>
 </ul>
 <p>
 </p>
</div>


Data Analyst

<div>
 <p>
  The
  <strong>
   Research Economist
  </strong>
  is responsible for analyzing complex labor market data to provide actionable insights that drive policy formulation and strategic business decisions. This role combines deep expertise in econometrics with a practical mindset, working closely with strategy, policy, and research teams to understand workforce dynamics, wage trends, and employment drivers. The Research Economist will leverage advanced econometric models (regression, time series), clustering techniques, and machine learning to uncover structural trends and guide decision-making regarding the labor market
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Key Responsibilities:
   </em>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Analyze large-scale labor market datasets to identify employment trends, skills gaps, and workforce segmentation, supporting initiatives to improve labor participation and productivity.
  </li>
  <li>
   Develop and refine rigorous econometric models (e.g., multivariate regression, panel data analysis) to isolate variables impacting wages, hiring rates, and job retention.
  </li>
  <li>
   Utilize advanced time-series techniques (e.g., ARIMA, VAR) to forecast key labor indicators such as unemployment rates, labor demand, and sector-specific growth.
  </li>
  <li>
   Apply clustering algorithms to segment the workforce and business entities, identifying distinct behavioral groups to tailor programs and policy interventions effectively.
  </li>
  <li>
   Design frameworks using causal inference methods (e.g., Difference-in-Differences, Propensity Score Matching) to measure the actual impact of labor policies and interventions.
  </li>
  <li>
   Create and maintain automated workflows to track key economic indicators (e.g., Saudization rates, female participation), ensuring alignment with national and organizational goals.
  </li>
  <li>
   Present complex economic findings in a clear, visual manner to stakeholders, translating statistical outputs into strategic narratives for non-technical audiences.
  </li>
  <li>
   Stay updated with the latest advancements in computational economics and data science, driving the adoption of new analytical tools and best practices within the team.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Required Skills &amp; Qualifications:
   </em>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Statistics, Economics, Econometrics, Quantitative Finance, Mathematics, Physics, or a related field.
  </li>
  <li>
   4+ years of experience in data science, economic research, or quantitative analytics. A specific focus on labor economics, policy evaluation, industrial organization, or applied econometrics is highly desirable.
  </li>
  <li>
   Econometrics &amp; Statistical Modeling.
  </li>
  <li>
   Strong proficiency in time-series analysis (ARIMA, GARCH, Vector Autoregression) to model seasonality and trends in economic data.
  </li>
  <li>
   Experience applying unsupervised learning techniques (K-Means, Hierarchical Clustering) and supervised learning to labor data for segmentation and classification.
  </li>
  <li>
   Advanced proficiency in Python, R, or Julia for statistical analysis. SQL is a must for data extraction.
  </li>
  <li>
   Deep understanding of labor market theories, including supply and demand elasticity, human capital theory, and workforce dynamics.
  </li>
  <li>
   Data Visualization &amp; Storytelling.
  </li>
 </ul>
</div>


Research Economist

Explore 788+ Data scientist in Riyadh this April. Find roles across top companies and apply now to boost your career.

788 data scientist jobs In Riyadh

Data Scientist

Staff Data Scientist 📍 Remote

Senior Data Scientist Specialist

Capabilities & Insights Analytics Analyst - Healthcare

Capabilities & Insights Analytics Analyst - Healthcare

Data Analyst

Research Economist