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Data Scientist

Entertainer Fz

Dubai

On-site

AED 257,000 - 331,000

Full time

Today
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Job summary

A leading digital company in Dubai is seeking a Data Scientist to enhance their B2C efforts. The role involves building predictive models, collaborating across functions, and driving innovative data solutions that impact user engagement and revenue. The ideal candidate will have 3-5 years of relevant experience, strong skills in machine learning and analytics, and a background in computer science or related fields. A great opportunity to join a recognized UAE brand awaits the right candidate.

Benefits

Competitive salary and benefits package
Opportunity to work with an energetic and innovative company
Chance to contribute to a well-known UAE brand

Qualifications

  • 3-5 years of experience in Data Science, ideally in a B2C e-commerce or digital commerce environment.
  • Deep understanding of machine learning and predictive modeling techniques.
  • Proficiency in designing A/B experiments and statistical inference techniques.

Responsibilities

  • Define and execute a data science strategy aligned with B2C growth.
  • Build churn prediction models, segmentation models and real-time analytics dashboards.
  • Collaborate with Product teams to implement A/B testing frameworks.

Skills

Data Science
Machine Learning
Advanced Analytics
Python
SQL
Big Data Platforms

Education

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science or a related field

Tools

BigQuery
MLFlow
Databricks
GCP
AWS
Job description
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 datadriven tech company providing firstrate 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 thats why we are passionate about creating unforgettable experiences for our customers partners and employees.

About the Role

We are looking for a strategic and handson 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 including voucher redemptions and Digital Reach monetization.

Strategic Impact & Business Influence
  • Define and execute a holistic data science strategy aligned with B2C growth goals.
  • Drive experimentation and insight generation to optimize key levers: user engagement subscription renewals merchant redemptions and DR visibility.
  • Influence key decisions across marketing campaigns product features and merchant onboarding through predictive insights.
  • Serve as a data evangelist promoting cross‑functional alignment and a strong data‑first mindset.
  • Stay ahead of AI/ML advancements and implement cutting‑edge techniques to solve business challenges.
Product & Business Intelligence
  • Build churn prediction models lifetime value (LTV) scoring and behavioral segmentation to enhance subscription lifecycle management.
  • Analyse in‑app behaviour and transaction data to optimise Digital Reach placement effectiveness and merchant ROI.
  • Collaborate with Product teams to implement A/B testing frameworks and data‑backed roadmap prioritisation.
  • Build customer segmentation models to personalise offers improve targeting and enhance loyalty programme effectiveness.
  • Work with Marketing to optimise customer acquisition costs (CAC) churn prediction and retention strategies.
  • Support Sales & Partnerships with merchant performance analytics to drive higher voucher redemptions and upsell opportunities.
  • Implement real‑time analytics dashboards to track KPIs (active users redemptions DR revenue) and provide actionable insights.
Analytics Engineering & Infrastructure
  • Partner with Data Engineers to build scalable data pipelines and maintain a clean data lake suitable for advanced analytics.
  • Lead development of dashboards and self‑serve analytics tools for key stakeholders.
What were looking for
  • 35 years of experience in Data Science Machine Learning or Advanced Analytics ideally in a B2C ecommerce subscription or digital commerce environment.
  • Bachelors or Masters degree in Computer Science Statistics Mathematics Data Science or a related field.
  • Proficiency in Python R SQL and Big Data platforms such as BigQuery MLFlow Databricks GCP or AWS.
  • Deep understanding of machine learning (e.g. XGBoost LightGBM Scikit‑learn) and predictive modelling techniques.
  • Proficiency in designing experiments (A/B testing) and statistical inference techniques.
Preferred:
  • Experience working on mobile app analytics offer redemption behaviour or consumer loyalty ecosystems.
  • Exposure to advertising analytics and performance optimisation for in‑app marketing/ads (like DR).
  • Familiarity with modern data visualisation tools like Tableau Power BI.
Core Competencies
  • Strategic thinker with strong business acumen and the ability to translate data into commercial impact.
  • Excellent communication and storytelling skills to influence executive stakeholders.
  • Track record of delivering high‑impact insights and building analytics capabilities from scratch.
  • Strong mentoring, coaching and cross‑functional collaboration abilities.
What We Offer
  • Competitive salary and benefits package.
  • Opportunity to work with an energetic and innovative company.
  • A chance to contribute to the success of a well‑known UAE brand.
Required Experience:

Senior IC

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