Posted On 30 November

  • Lead Data Scientist

    • Company Al Rajhi Bank Malaysia
    • No. of Openings 10+
    • Salary Not Disclosed
    • Work Type on-site

    Job Description :

    This role will be a key member of the team and will be responsible for providing high quality in-depth analysis, reporting, conducting post campaign analysis and provide analytical insights to the Scrum Development Teams

     

    Responsibilities

    • Analyze complex business issues and effectively communicate meaningful insights based on data trends / patterns found in data.
    • Conduct in-depth analysis and post-campaign analysis to evaluate the mobile application performance.
    • Knowledge of machine learning models such as clustering for member segmentation and predictive models will be advantageous, for future reruns and updates of existing models
    • Deliver insights and recommendations, via summary or presentations (slides), to internal teams
    • Provide and apply quality assurance best practices for data science/analysis services

     

    Qualifications

    • Bachelor's degree in Business Administration, Analytics, Computer Science, Management Information Systems, Statistics, or any relevant field
    • At least 2 years' relevant analytical experience
    • Demonstrated experience with developing data loading and ETL solutions, working with big data tools (e.g. Apache Spark, KAFKA and Airflow) and using AWS Cloud environment (e.g. AWS EMR, CloudWatch)
    • Strong data manipulation and analysis skills (e.g. SQL, R, Python), data visualization (e.g. Tableau, Power BI) and comfortable working with large, complex datasets
    • Python knowledge and prior experience in building machine learning models would be an advantage
    • Strong Microsoft Suite skills, especially with Excel & PowerPoint
    • Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
    • Fluency in a programming language (Python, C,C++, Java, SQL)
    • Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)

    Information

    • HR Name :Human Resource
    • HR Email :customersupport@alrajhibank.com.my
    • HR Phone :+603 2332 6000
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