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Data Scientist
Job Location:
Monthly Salary:
Posted:
17 July 2026 (20 days ago)
Posted:
Application Deadline:
15 October 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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.
As a Data Scientist you will
Strategic Impact & Business Influence
Product & Business Intelligence
Analytics Engineering & Infrastructure
What were looking for
Preferred:
Core Competencies
What We Offer
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.
As a Data Scientist you will
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 crossfunctional alignment and a strong datafirst mindset.
- Stay ahead of AI/ML advancements and implement cuttingedge techniques to solve business challenges.
Product & Business Intelligence
- Build churn prediction models lifetime value (LTV) scoring and behavioral segmentation to enhance subscription lifecycle management.
- Analyze inapp behavior and transaction data to optimize Digital Reach placement effectiveness and merchant ROI.
- Collaborate with Product teams to implement A/B testing frameworks and databacked roadmap prioritization.
- Build customer segmentation models to personalize offers improve targeting and enhance loyalty program effectiveness.
- Work with Marketing to optimize 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 realtime 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 selfserve 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 Scikitlearn) and predictive modeling techniques.
- Proficiency in designing experiments (A/B testing) and statistical inference techniques.
Preferred:
- Experience working on mobile app analytics offer redemption behavior or consumer loyalty ecosystems.
- Exposure to advertising analytics and performance optimization for inapp marketing/ads (like DR).
- Familiarity with modern data visualization 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 highimpact insights and building analytics capabilities from scratch.
- Strong mentoring coaching and crossfunctional 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 wellknown UAE brand.
Required Experience:
Senior IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
The Entertainer, established in 2001, is the leading provider of buy one get one free incentives across the Middle East, Africa, Asia and Europe. With a vast portfolio and a wide selection of quality merchant partners, the Entertainer has something to offer everyone and is regarded as ... View more
