Senior Data Scientist and Personalization Strategist

1 week ago

Manama, Manama, Bahrain beBeeData Full time $180,000 - $200,000
Strategic Data Leader Opportunity

We are seeking a seasoned data strategist to spearhead the development of intelligent, data-driven client experiences across our digital platforms. The ideal candidate will design and implement machine learning models for personalized investment recommendations, content targeting, and client engagement optimization.

This is a high-impact role for a strategic data leader who thrives in a fast-paced environment and has experience building and scaling personalization systems—ideally in fintech, digital wealth, or consumer platforms.

The selected individual will collaborate cross-functionally with product, marketing, engineering, and commercial teams to embed data-driven personalization across all client touchpoints.

Key Responsibilities:Strategy & Leadership
  • Develop and communicate a comprehensive personalization strategy aligned with business goals and client experience vision.
  • Lead, mentor, and grow a team of data scientists and machine learning engineers.
  • Cultivate strong relationships with stakeholders to drive data-driven decision-making.
Data Science & Modeling
  • Design, build, and deploy ML/AI models for:
    • Personalized investment recommendations
    • Smart content curation
    • Behavioral and predictive analytics
    • Funnel optimization and conversion predictions
  • Drive experimentation and continuous model performance improvement using A/B testing and data validation techniques.
  • Ensure model explainability, fairness, and compliance with relevant data privacy regulations.
Personalization Infrastructure
  • Architect and oversee the personalization engine powering mobile, web, and CRM systems.
  • Implement real-time data processing pipelines for adaptive personalization.
  • Collaborate with data engineering to ensure scalable, high-quality data infrastructure and feature pipelines.
Client-Centric Data Insights
  • Translate data into actionable insights to inform client segmentation, lifecycle management, and journey personalization.
  • Develop dashboards and KPIs to measure impact of personalization initiatives on user engagement and business outcomes.
Key Attributes & Competencies
  • Strong product sense with a deep understanding of client behavior in digital financial services.
  • A passion for using data to improve lives and decision-making for HNW individuals.
  • Strategic and hands-on: able to drive vision and execute technical implementation.
  • Collaborative leadership and stakeholder communication skills.
  • Highly analytical with strong attention to detail and data integrity.
Qualifications
  • Master's or PhD in Data Science, Machine Learning, Computer Science, or related field.
  • 6+ years of experience in applied data science, with 2+ years in a leadership or managerial role.
  • Proven experience developing personalization and recommendation systems at scale.
  • Proficiency in Python, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Experience with data platforms such as Databricks, AWS/GCP/Azure, and real-time data systems (e.g., Kafka).
  • Background in fintech, wealth management, or e-commerce personalization is a strong plus

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