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the ENTERTAINER

<div>
 
 
 
 
 
 
 About Us
 
 
 
 
 
 
 
 
 The ENTERTAINER is a leading digital company dedicated to adding value for consumers by bringing them the best incentive offers globally. We are a 100% digital, data-driven tech company providing first-rate offers across renowned dining, leisure, entertainment, and hotel brands worldwide. The ENTERTAINER has grown with the aim of creating unbeatable value and loyalty everywhere we operate. We believe that "experience is everything," and that's why we are passionate about creating unforgettable experiences for our customers, partners, and employees.&nbsp;
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 
 
 We are looking for a strategic and hands-on Data Scientist to lead data innovation and decision science within our B2C business. This role will collaborate closely with Product, Technology, Marketing, and Sales teams to develop predictive models, personalization strategies, and business insights that accelerate user acquisition, improve customer retention, and boost merchant engagement &mdash; including voucher redemptions and Digital Reach monetization.
 
 
 
 
 
 
 
 
 
 As a Data Scientist you will
 
 
 
 
 
 
 
 
 Strategic Impact &amp; Business Influence
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Define and execute a holistic data science strategy aligned with B2C growth goals.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Drive experimentation and insight generation to optimize key levers: user engagement, subscription renewals, merchant redemptions, and DR visibility.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Influence key decisions across marketing campaigns, product features and merchant onboarding through predictive insights.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Serve as a data evangelist, promoting cross-functional alignment and a strong data-first mindset.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Stay ahead of AI/ML advancements and implement cutting-edge techniques to solve business challenges.
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 Product &amp; Business Intelligence
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Build churn prediction models, lifetime value (LTV) scoring, and behavioral segmentation to enhance subscription lifecycle management.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Analyze in-app behavior and transaction data to optimize Digital Reach placement effectiveness and merchant ROI.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Collaborate with Product teams to implement A/B testing frameworks and data-backed roadmap prioritization.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Build customer segmentation models to personalize offers, improve targeting, and enhance loyalty program effectiveness.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Work with Marketing to optimize customer acquisition costs (CAC), churn prediction, and retention strategies.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Support Sales &amp; Partnerships with merchant performance analytics to drive higher voucher redemptions and upsell opportunities.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Implement real-time analytics dashboards to track KPIs (active users, redemptions, DR revenue) and provide actionable insights.&nbsp;
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 Analytics Engineering &amp; Infrastructure
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Partner with Data Engineers to build scalable data pipelines and maintain a clean data lake suitable for advanced analytics.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Lead development of dashboards and self-serve analytics tools for key stakeholders.
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 What we&rsquo;re looking for
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 3-5 years of experience in Data Science, Machine Learning or Advanced Analytics, ideally in a B2C e-commerce, subscription or digital commerce environment.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Bachelor's or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Proficiency in Python, R, SQL, and Big Data platforms such as BigQuery, MLFlow, Databricks, GCP, or AWS.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Deep understanding of machine learning (e.g., XGBoost, LightGBM, Scikit-learn) and predictive modeling techniques.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Proficiency in designing experiments (A/B testing) and statistical inference techniques.
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 Preferred:
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Experience working on mobile app analytics, offer redemption behavior, or consumer loyalty ecosystems.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Exposure to advertising analytics and performance optimization for in-app marketing/ads (like DR).
 
 
 
 
 </li>
 <li>
 
 
 
 
 Familiarity with modern data visualization tools like Tableau, Power BI.
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 Core Competencies
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Strategic thinker with strong business acumen and the ability to translate data into commercial impact.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Excellent communication and storytelling skills to influence executive stakeholders.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Track record of delivering high-impact insights and building analytics capabilities from scratch.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Strong mentoring, coaching, and cross-functional collaboration abilities.
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Competitive salary and benefits package.
 
 
 
 
 </li>
 <li>
 
 
 
 
 Opportunity to work with an energetic and innovative company.
 
 
 
 
 </li>
 <li>
 
 
 
 
 A chance to contribute to the success of a well-known UAE brand.
 
 
 
 
 </li>
 </ul>
</div>

Data Scientist

The Entertainer FZ LLC

<div>About Us 
 
The ENTERTAINER is a leading digital company dedicated to adding value for consumers by bringing them the best incentive offers globally. We are a 100% digital, data-driven tech company providing first-rate offers across renowned dining, leisure, entertainment, and hotel brands worldwide. The ENTERTAINER has grown with the aim of creating unbeatable value and loyalty everywhere we operate. We believe that &quot;experience is everything,&quot; and that's why we are passionate about creating unforgettable experiences for our customers, partners, and employees. 
 
About the Role 
 
We are looking for a strategic and hands-on Data Scientist to lead data innovation and decision science within our B2C business. This role will collaborate closely with Product, Technology, Marketing, and Sales teams to develop predictive models, personalization strategies, and business insights that accelerate user acquisition, improve customer retention, and boost merchant engagement &mdash; including voucher redemptions and Digital Reach monetization. 
 
As a Data Scientist you will 
 
Strategic Impact &amp; Business Influence<ul><li>
Define and execute a holistic data science strategy aligned with B2C growth goals.</li><li>
Drive experimentation and insight generation to optimize key levers: user engagement, subscription renewals, merchant redemptions, and DR visibility.</li><li>
Influence key decisions across marketing campaigns, product features and merchant onboarding through predictive insights.</li><li>
Serve as a data evangelist, promoting cross-functional alignment and a strong data-first mindset.</li><li>
Stay ahead of AI/ML advancements and implement cutting-edge techniques to solve business challenges.
</li></ul> 
Product &amp; Business Intelligence<ul><li>
Build churn prediction models, lifetime value (LTV) scoring, and behavioral segmentation to enhance subscription lifecycle management.</li><li>
Analyze in-app behavior and transaction data to optimize Digital Reach placement effectiveness and merchant ROI.</li><li>
Collaborate with Product teams to implement A/B testing frameworks and data-backed roadmap prioritization.</li><li>
Build customer segmentation models to personalize offers, improve targeting, and enhance loyalty program effectiveness.</li><li>
Work with Marketing to optimize customer acquisition costs (CAC), churn prediction, and retention strategies.</li><li>
Support Sales &amp; Partnerships with merchant performance analytics to drive higher voucher redemptions and upsell opportunities.</li><li>
Implement real-time analytics dashboards to track KPIs (active users, redemptions, DR revenue) and provide actionable insights.
</li></ul> 
Analytics Engineering &amp; Infrastructure<ul><li>
Partner with Data Engineers to build scalable data pipelines and maintain a clean data lake suitable for advanced analytics.</li><li>
Lead development of dashboards and self-serve analytics tools for key stakeholders.</li></ul> 

What we&rsquo;re looking for<ul><li>
3-5 years of experience in Data Science, Machine Learning or Advanced Analytics, ideally in a B2C e-commerce, subscription or digital commerce environment.</li><li>
Bachelor's or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.</li><li>
Proficiency in Python, R, SQL, and Big Data platforms such as BigQuery, MLFlow, Databricks, GCP, or AWS.</li><li>
Deep understanding of machine learning (e.g., XGBoost, LightGBM, Scikit-learn) and predictive modeling techniques.</li><li>
Proficiency in designing experiments (A/B testing) and statistical inference techniques.</li></ul> 

Preferred:<ul><li>
Experience working on mobile app analytics, offer redemption behavior, or consumer loyalty ecosystems.</li><li>
Exposure to advertising analytics and performance optimization for in-app marketing/ads (like DR).</li><li>
Familiarity with modern data visualization tools like Tableau, Power BI.</li></ul> 

Core Competencies<ul><li>
Strategic thinker with strong business acumen and the ability to translate data into commercial impact.</li><li>
Excellent communication and storytelling skills to influence executive stakeholders.</li><li>
Track record of delivering high-impact insights and building analytics capabilities from scratch.</li><li>
Strong mentoring, coaching, and cross-functional collaboration abilities.</li></ul> 

What We Offer<ul><li>
Competitive salary and benefits package.</li><li>
Opportunity to work with an energetic and innovative company.</li><li>
A chance to contribute to the success of a well-known UAE brand.</li></ul>
tfBxYLuv2F</div>

Quantum One | Q One

<div>
 
 
 
 About Us
 
 
 
 
 
 Quantum One
 
 is a leading AI solutions provider in UAE. Our firm was founded by a group of professionals from McKinsey &amp; Company and BCG. We focus on integrating advanced AI capabilities with strategic business insight to deliver measurable impact across various sectors.
 
 
 We&rsquo;re looking for a highly skilled and motivated
 
 Data Scientist
 
 to join our Abu Dhabi team. This role offers the opportunity to work on mission-critical projects with the UAE's largest organizations, supported by relocation assistance.
 
 
 
 
 
 
 
 Our Offer &amp; Your Growth
 
 
 
 
 We are committed to investing in our talent. Quantum One provides a competitive compensation package and clear career progression paths with opportunities for rapid advancement.
 
 
 
 
 
 
 
 Core Responsibilities
 
 
 
 
 As a Data Scientist, you will be instrumental in the execution and delivery in key areas:
 
 <ul>
 <li>
 Strategic Implementation: Apply Machine Learning and Operations Research methodologies to solve complex problems for major UAE companies across diverse industries.
 </li>
 <li>
 Product Development: Design, develop, and deploy standalone AI products and enterprise solutions from initial concept through to production.
 </li>
 <li>
 Technical Excellence: Ensure the robust and scalable implementation of all AI models and systems.
 </li>
 </ul>
 
 
 
 
 
 
 Required Qualifications
 
 
 
 
 We are looking for a candidate who meets the following criteria and is prepared to excel in a high-performance environment.
 
 
 
 
 <ul>
 <li>
 
 Experience:
 
 A minimum of 5 years of professional experience in a Data Scientist or similar quantitative role.
 </li>
 <li>
 
 Language Proficiency:
 
 Fluent English is mandatory for effective communication with our international team and clientele.
 </li>
 <li>
 
 Technical Foundation:
 
 Demonstrated expertise across the following core stack: Python, Git, Docker/Kubernetes, Postgres (or similar RDBMS/NoSQL), and experience with at least one major Cloud Platform (Azure, AWS, or GCP).
 </li>
 </ul>
 
 
 
 
 
 Machine Learning Expertise:
 
 
 <ul>
 <li>
 Data Analysis &amp; Modeling: Pandas, NumPy, scikit-learn, and advanced boosting techniques (CatBoost, LightGBM).
 </li>
 <li>
 Model Interpretation: Experience utilizing tools like SHAP for model explainability.
 </li>
 <li>
 Visualization: Proficient use of libraries such as Matplotlib and Seaborn.
 </li>
 </ul>
 
 
 
 
 
 Advanced AI Systems (Highly Valued):
 
 
 
 Practical experience with Large Language Models (LLM) and Retrieval-Augmented Generation (RAG) frameworks, including:
 
 <ul>
 <li>
 Frameworks: LangChain.
 </li>
 <li>
 Models &amp; Ecosystems: Working knowledge of models like Llama and Qwen, and utilizing the Hugging Face and OpenAI/ChatGPT ecosystems.
 </li>
 </ul>
 
 
</div>

Lead Data Scientist

Visionary Tech Services

<div>
 Join our team at Visionary Tech Services (VTS), a fast-growing AI Services &amp; Consultancy company, that'ssolving critical business problems for top-tier clients in theregion's most important industries.
 
 
 If you're passionate about applying data science, machinelearning, statistics, and real-world experimentation tosolve meaningful business problems, this role is for you.
 
 
 The Lead Data Scientist will spearhead the design,development, and deployment of advanced AI andmachine learning solutions at VTS. You will lead a team ofdata scientists coordinate cross-functional efforts, andensure the technical excellence and business impact ofdata science projects. As a key technical advisor, you willinterface with clients and stakeholders to drive innovationand align solutions with strategic objectives.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 8+ years of extensive experience in data science, with atleast 3 years in leadership or senior roles
 </li>
 <li>
 Prior experience in pre-sales: proposal writing, estimation, and risk registers
 </li>
 <li>
 Significant background in AI consulting services, leading projects and teams for clients across industries like oil &amp;gas, telecom, health, construction, finance, banking, technology, real estate, media, etc
 </li>
 <li>
 Expertise in strategic project management, MLOps implementation, and mentoring junior data scientists inhigh-impact consulting engagements
 </li>
 <li>
 Strong experience in Agile/Scrum environments and cross-functional coordination
 </li>
 <li>
 Recognized contributions to open-source, research publications, conference talks, or leadership in analytics communities are highly valued
 </li>
 <li>
 Lead end-to-end development and deployment of complex machine learning models and AI systems for client projects
 </li>
 <li>
 Define model architecture, best practices, and maintain high code quality and MLOps governance in data science workflows
 </li>
 <li>
 Manage cross-functional collaboration between data science, software engineering, product, and business teams to ensure seamless project execution
 </li>
 <li>
 Mentor and coach junior and senior data scientists, providing guidance on methodologies, code reviews, and professional development
 </li>
 <li>
 Identify new opportunities for applying data science within client engagements and advise on feasibility and impact
 </li>
 <li>
 Serve as a technical advisor to clients and executive stakeholders, communicating complex concepts in a clear, business-oriented manner
 </li>
 <li>
 Ensure that all solutions are scalable, maintainable, and aligned with broader strategic business objectives
 </li>
 </ul>
</div>

Visionary Tech Services LLC

<div>Join our team at Visionary Tech Services (VTS), a fast-growing AI Services &amp; Consultancy company, that'ssolving critical business problems for top-tier clients in theregion's most important industries.
If you&rsquo;re passionate about applying data science, machinelearning, statistics, and real-world experimentation tosolve meaningful business problems, this role is for you.
The Lead Data Scientist will spearhead the design,development, and deployment of advanced AI andmachine learning solutions at VTS. You will lead a team ofdata scientists coordinate cross-functional efforts, andensure the technical excellence and business impact ofdata science projects. As a key technical advisor, you willinterface with clients and stakeholders to drive innovationand align solutions with strategic objectives.
Requirements<ul>
<li>
8+ years of extensive experience in data science, with atleast 3 years in leadership or senior roles.</li>
<li>Prior experience in pre-sales: proposal writing, estimation, and risk registers.</li>
<li>Significant background in AI consulting services, leading projects and teams for clients across industries like oil &amp;gas, telecom, health, construction, finance, banking, technology, real estate, media, etc.</li>
<li>Expertise in strategic project management, MLOps implementation, and mentoring junior data scientists inhigh-impact consulting engagements.</li>
<li>Strong experience in Agile/Scrum environments and cross-functional coordination.</li>
<li>Recognized contributions to open-source, research publications, conference talks, or leadership in analytics communities are highly valued.</li>
<li>Lead end-to-end development and deployment of complex machine learning models and AI systems for client projects.</li>
<li>Define model architecture, best practices, and maintain high code quality and MLOps governance in data science workflows.</li>
<li>Manage cross-functional collaboration between data science, software engineering, product, and business teams to ensure seamless project execution.</li>
<li>Mentor and coach junior and senior data scientists, providing guidance on methodologies, code reviews, and professional development.</li>
<li>Identify new opportunities for applying data science within client engagements and advise on feasibility and impact.</li>
<li>Serve as a technical advisor to clients and executive stakeholders, communicating complex concepts in a clear, business-oriented manner.</li>
<li>Ensure that all solutions are scalable, maintainable, and aligned with broader strategic business objectives.</li></ul></div>

Ras Al Khaimah Economic Zone (RAKEZ)

<div>
 
 
 JOB PURPOSE
 
 
 
 
 
 
 The Senior Data Scientist leads the development of advanced analytical models and AI/ML systems to power strategic decision-making and automation across RAKEZ. The role is central to building models that support lead scoring, customer retention, churn prediction, lifetime value estimation, and operational optimization.
 
 
 
 
 
 This position will drive cross-functional collaboration with stakeholders in strategy, sales, finance, and operations while mentoring junior team members and advancing the maturity of RAKEZ&rsquo;s data science capabilities.
 
 
 
 
 
 
 CORE RESPONSIBILITIES
 
 
 
 
 
 
 
 Data Integration &amp; Exploratory Analysis:
 
 
 
 
 
 <ul>
 <li>
 Integrate, clean, and prepare data from multiple structured and unstructured sources including CRM, ERP, web analytics, and external datasets.
 </li>
 <li>
 Perform exploratory data analysis (EDA) to uncover trends, correlations, and anomalies.
 </li>
 <li>
 Generate insights and hypotheses to guide feature engineering and model selection.
 </li>
 <li>
 Work with data engineers to ensure data pipelines support model requirements and retraining strategies.
 </li>
 </ul>
 
 
 
 
 
 Feature Engineering &amp; Data Preparation:
 
 
 
 
 
 <ul>
 <li>
 Engineer meaningful features from raw and semi-structured datasets to improve model accuracy and interpretability.
 </li>
 <li>
 Address data quality issues through imputation, outlier handling, normalization, and transformation techniques.
 </li>
 <li>
 Contribute to strategies for data augmentation and enrichment to enhance model input quality and generalizability.
 </li>
 </ul>
 
 
 
 
 
 Model Development &amp; Experimentation:
 
 
 
 
 
 <ul>
 <li>
 Build, evaluate, and refine machine learning and statistical models for use cases such as lead conversion, churn risk, and customer segmentation.
 </li>
 <li>
 Design experiments (e.g., A/B testing) and perform hypothesis testing to validate model impact.
 </li>
 <li>
 Use appropriate modeling techniques (e.g., ensemble learning, regression, classification, clustering) based on business needs.
 </li>
 </ul>
 
 
 
 
 
 Explainability, Validation &amp; Monitoring:
 
 
 
 
 
 <ul>
 <li>
 Generate and communicate explainable AI insights using tools like SHAP and LIME.
 </li>
 <li>
 Conduct rigorous model validation, cross-validation, and post-deployment monitoring.
 </li>
 <li>
 Partner with Data and ML Engineers to integrate monitoring and retraining pipelines.
 </li>
 </ul>
 
 
 
 
 
 Collaboration &amp; Communication:
 
 
 
 
 
 <ul>
 <li>
 Translate business objectives into analytical workflows and deliver insights to non-technical stakeholders.
 </li>
 <li>
 Collaborate with data engineers, analysts, and product owners to align on delivery timelines and priorities.
 </li>
 <li>
 Present models and recommendations clearly to leadership and technical teams.
 </li>
 </ul>
 
 
 
 
 
 Research &amp; Continuous Learning:
 
 
 
 
 
 <ul>
 <li>
 Research and implement state-of-the-art techniques and tools in machine learning, deep learning, and artificial intelligence to ensure that systems created are efficient and effective.
 </li>
 <li>
 Stay updated on industry trends, academic research, and emerging AI/ML methodologies.
 </li>
 <li>
 Recommend and implement novel approaches to improve model performance and business outcomes.
 </li>
 </ul>
 
 
 
 
 
 QUALIFICATIONS, EXPERIENCE, &amp; SKILLS
 
 
 
 
 
 
 
 Educational Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Computer Science, Applied Mathematics, or related field.
 </li>
 <li>
 PhD is a plus and may substitute for years of work experience.
 </li>
 </ul>
 
 
 
 
 
 Professional Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Deep understanding of machine learning algorithms, statistical modeling, and experimentation design.
 </li>
 <li>
 Proficiency in Python, SQL, and libraries like scikit-learn, XGBoost, TensorFlow, or PyTorch.
 </li>
 <li>
 Familiarity with model interpretability techniques and tools (e.g., SHAP, LIME).
 </li>
 <li>
 Strong experience in source systems such as SAP ERP, Salesforce CRM, SaaS Applications, Google Analytics and structured/unstructured data sources.
 </li>
 </ul>
 
 
 
 
 
 Required Experience:
 
 
 
 
 
 <ul>
 <li>
 7+ years of experience in applied data science, ideally within CRM, finance, or operational use cases.
 </li>
 <li>
 Experience in building production-grade models and partnering with MLOps for deployment.
 </li>
 <li>
 Proven track record of delivering business value from data science initiatives.
 </li>
 </ul>
 
 
 
 
 
 Other requirements:
 
 
 
 
 
 <ul>
 <li>
 Excellent communication skills with both technical and business stakeholders.
 </li>
 <li>
 Passion for solving real-world problems using AI/ML.
 </li>
 <li>
 Experience in agile delivery environments is preferred.
 </li>
 </ul>
 
 
</div>

Senior Data Scientist

Dataiku

<div>
 Dataiku is The Universal AI Platform&trade;, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.
 
 
 The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.
 
 
 Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team primarily uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques while being able to explain their work to other data scientists and clients.
 
 
 
 In This Role, You'll Help The Team
 
 
 
 <ul>
 <li>
 Co-develop production-level data science projects with our customers
 </li>
 <li>
 Analyse and investigate various kinds of data and machine learning applications across industries and use cases
 </li>
 <li>
 Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support
 </li>
 <li>
 Provide data science expertise both to customers and internally to Dataiku&rsquo;s sales and marketing teams
 </li>
 <li>
 Develop custom Python-based &ldquo;plugins&rdquo; in collaboration with Solutions, R&amp;D, and Product teams, to enhance Dataiku&rsquo;s functionality
 
 
 </li>
 </ul>
 
 You might be a good fit for the role if you have:
 
 
 
 <ul>
 <li>
 English - fluent, Arabics - fluent/native will be a big plus
 </li>
 <li>
 Curiosity and a desire to learn new topics and skills
 </li>
 <li>
 Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku&rsquo;s customers, and the general public
 </li>
 <li>
 The ability to clearly explain complex topics to technical as well as non-technical audiences
 </li>
 <li>
 2 - 10 years of experience with Python and SQL
 </li>
 <li>
 2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn)
 </li>
 <li>
 Familiarity with data visualisation in Python and R
 </li>
 <li>
 Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL
 
 
 </li>
 </ul>
 
 Technical Skills That May Help You In The Role
 
 
 
 <ul>
 <li>
 Experience with Consulting and/or Customer-facing Data Science roles
 </li>
 <li>
 Experience with Data Engineering or MLOps
 </li>
 <li>
 Experience developing WebApps in JavaScript, RShiny, or Dash
 </li>
 <li>
 Experience building APIs
 </li>
 <li>
 Experience using enterprise data science tools
 </li>
 <li>
 Passion for teaching or public speaking
 
 
 </li>
 </ul>
 
 What are you waiting for!
 
 
 
 At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you&rsquo;d like to learn even more about working here, you can visit our Dataiku LinkedIn page.
 
 
 
 Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at:
 
 reasonable-accommodations@dataiku.com
 
 
 
 Protect yourself from fraudulent recruitment activity
 
 
 
 
 Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.
 
 
 
</div>

Explore 2981+ Data scientist in United Arab Emirates this November. Find roles across top companies and apply now to boost your career.

2981 data scientist jobs IN United Arab Emirates

Data Scientist

Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Senior Data Scientist

Senior Data Scientist