Data Scientist

3 days ago


Dubai, Dubai, United Arab Emirates VML South Africa Full time

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.
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