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Data Scientist jobs in United Arab Emirates

Data Scientist / Analyst

Data Scientist / Analyst
VML
United Arab Emirates
AED 50,000 - 200,000
Urgently required
Yesterday
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Data Scientist Analyst - VML

Data Scientist Analyst - VML
Talent Pal
Dubai
AED 50,000 - 200,000

Data Scientist / Analyst

Data Scientist / Analyst
VML South Africa
Dubai
AED 50,000 - 200,000

Global Oil Gas Senior Data Scientist

Global Oil Gas Senior Data Scientist
MatchaTalent
Abu Dhabi
AED 200,000 - 400,000

Global Oil Gas Senior Data Scientist

Global Oil Gas Senior Data Scientist
MatchaTalent
Dubai
AED 200,000 - 400,000
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Data Scientist

Data Scientist
Siemens Energy
Abu Dhabi
AED 50,000 - 200,000

Data Scientist

Data Scientist
Splash Software LLC
United Arab Emirates
AED 200,000 - 400,000
Urgently required
Yesterday

Data Scientist

Data Scientist
Client of Talentmate
Abu Dhabi
AED 200,000 - 400,000
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DATA SCIENTIST - Dubai, UAE

DATA SCIENTIST - Dubai, UAE
Cobblestone
United Arab Emirates
AED 200,000 - 400,000

Data Scientist Innovation

Data Scientist Innovation
etihad
Abu Dhabi
AED 200,000 - 400,000

Data Scientist, AWS Generative AI Innovation Center

Data Scientist, AWS Generative AI Innovation Center
Amazon
Dubai
AED 200,000 - 400,000

Data Scientist II Logistics

Data Scientist II Logistics
myGwork - LGBTQ+ Business Community
Dubai
AED 200,000 - 400,000

Opening for Data Scientist -Multiple Position

Opening for Data Scientist -Multiple Position
Alpha Data Processing Services LLC
Abu Dhabi
AED 200,000 - 400,000

Senior Data Scientist

Senior Data Scientist
Surge Group
Abu Dhabi
AED 200,000 - 400,000

Data Scientist

Data Scientist
Reprise
Dubai
AED 200,000 - 400,000

Senior Data Scientist

Senior Data Scientist
Creative Chaos
Dubai
AED 200,000 - 400,000
Urgently required
4 days ago

Data Scientist

Data Scientist
Sophilabs
Dubai
Remote
AED 200,000 - 400,000

Data Scientist

Data Scientist
Connecting Research to Development (CRD)
United Arab Emirates
AED 200,000 - 400,000

Data Scientist

Data Scientist
High5
Dubai
AED 200,000 - 400,000

Fraud Data Scientist

Fraud Data Scientist
K2 Integrity Holdings, Inc.
Abu Dhabi
AED 200,000 - 400,000

Data Scientist, dnata Airport Operations

Data Scientist, dnata Airport Operations
The Emirates Group
United Arab Emirates
AED 200,000 - 400,000
Urgently required
7 days ago

Data Scientist

Data Scientist
Yas Clinic Khalifa City
Abu Dhabi
AED 200,000 - 400,000

Data Scientist

Data Scientist
Bricks Technologies Systems
Abu Dhabi
AED 200,000 - 400,000

Data Scientist

Data Scientist
Group 42
Abu Dhabi
AED 200,000 - 400,000

Senior Data Scientist

Senior Data Scientist
Presight
Abu Dhabi
AED 200,000 - 400,000

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Data Scientist / Analyst

Be among the first applicants.
VML
United Arab Emirates
AED 50,000 - 200,000
Be among the first applicants.
Yesterday
Job description

Who We Are

At VML, we are a beacon of innovation and growth in an ever-evolving world. Our heritage is built upon a century of combined expertise, where creativity meets technology, and diverse perspectives ignite inspiration. With the merger of VMLY&R and Wunderman Thompson, we have forged a new path as a growth partner that is part creative agency, part consultancy, and part technology powerhouse.

Our global family now encompasses over 30,000 employees across 150+ offices in 64 markets, each contributing to a culture that values connection, belonging, and the power of differences. Our expertise spans the entire customer journey, offering deep insights in communications, commerce, consultancy, CRM, CX, data, production, and technology. We deliver end-to-end solutions that result in revolutionary work.

Position Name: Data Scientist/Analyst
Position Location: Dubai & Abu Dhabi, UAE

THE ROLE
We are seeking a talented Data Scientist/Analyst to join our team and play a pivotal role in driving customer insights and marketing optimization. This individual will be responsible for developing and implementing advanced analytics models to enhance our understanding of customer behavior and drive personalized experiences across various touchpoints including website, CRM, and paid marketing media.

You will work closely with both agency and client stakeholders (we are an extension squad for the client), including business analysts, data scientists, and engineers, to ensure that the data infrastructure supports the client's business objectives and enables the delivery of exceptional customer experiences that drive business value.

Responsibilities

  1. Customer Segmentation: Develop and implement data-driven segmentation models to categorize customers based on demographics, behavior, purchase patterns, and other relevant attributes.
  2. Propensity Modelling: Build and refine propensity models to predict customer behaviors such as purchase likelihood, churn risk, and response to marketing campaigns.
  3. Marketing Attribution Modelling: Develop and implement marketing attribution models to quantify the impact of different marketing channels and touchpoints on customer conversion and engagement.
  4. Media Mix Modelling: Design and implement media mix models to optimize marketing budget allocation across various channels for maximum ROI.
  5. Customer Data Platform (CDP) Enhancement: Leverage advanced analytics techniques to enrich customer data within our CDP, enabling a deeper understanding of customer profiles and preferences.
  6. CRM Optimization: Utilize customer insights derived from data analysis to optimize CRM communications within Microsoft Dynamics, ensuring relevance and effectiveness.
  7. Website Personalization: Drive personalization and optimized customer journeys on our website platform (Sitecore) by leveraging data-driven insights and recommendations.
  8. Collaboration and Communication: Collaborate effectively with cross-functional teams, including marketing, product, and technology, to translate complex data insights into actionable business strategies.
  9. Data Visualization: Develop dashboards and other data visualizations that uncover easy to access insights (business, consumer, marketing) for client and partner agencies.
  10. Staying Current: Maintain up-to-date knowledge of the latest data science methodologies, technologies, and industry best practices.

Required Skills & Experiences

  1. Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field. Master's degree preferred.
  2. 5+ years of proven experience as a Data Scientist/Analyst, ideally within the banking or financial services sector.
  3. Strong understanding and hands-on experience with statistical modeling, machine learning algorithms, and data mining techniques.
  4. Proficiency in data analysis tools and programming languages such as SQL, Python, and R.
  5. Experience with Customer Data Platforms (CDPs), CRM systems (e.g., Microsoft Dynamics), and website platforms (e.g., Sitecore) is highly desirable.
  6. Excellent problem-solving skills, analytical mindset, and the ability to think strategically.
  7. Strong communication and presentation skills to effectively convey complex data insights to both technical and non-technical stakeholders.
  8. Experience in developing dashboards and data visualizations - PowerBI preferred.
  9. Ability to work independently and collaboratively within a team environment, managing multiple projects simultaneously.

At VML, we are committed to fostering an all-inclusive work environment that is both rewarding and career-forward. Our Inclusion, Equity & Belonging initiatives, alongside the VML Foundation, reflect our dedication to giving back and making a positive impact in our communities and beyond. Our people are the heartbeat of our organization - creators, doers, innovators, makers, and thinkers - who drive not just marketing, but meaningful experiences that resonate in every action and interaction.

VML is a WPP Agency. For more information, please visit our website, and follow VML on our social channels via Instagram, LinkedIn, and X.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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