Machine Learning Strategist

4 days ago


Doha, Baladīyat ad Dawḩah, Qatar Qatar National Bank Full time

Qatar National Bank is seeking a highly skilled Quantitative Analyst to join our team and drive business growth through data-driven insights.

The ideal candidate will have a strong background in machine learning, deep learning, and artificial intelligence, with experience in developing predictive models and implementing cutting-edge techniques.

The successful candidate will collaborate with business leaders to provide expert support through leveraging data and analytical tools, strategic thinking, and hypothesis-based analysis on ML-based projects.

Key Responsibilities:
  • Predictive Modeling: Develop and deploy predictive models using various machine learning techniques to answer business questions and drive decision-making.
  • Statistical Analysis: Conduct advanced statistical analysis to identify trends and patterns in data and make recommendations for business improvements.
  • Technological Advancements: Research and implement new statistical or other mathematical methodologies as needed for specific data science initiatives.
  • Domain Knowledge: Integrate domain knowledge into data science solutions, leveraging an understanding of financial risk, customer journey, quality prediction, sales, and marketing.
Requirements:
  • A university graduate with a major in computer science, data science, software engineering, information systems, or related quantitative fields.
  • At least 10 years of relevant experience, preferably within a data scientist or related role.
  • A PhD in statistics, ML, computer science, or natural sciences is desirable.
  • Excellent oral and written communication skills in English and Arabic.
  • Advanced SQL knowledge and experience working with relational databases.
  • Experience with data pipeline and workflow management tools (ETL, Airflow, etc.) and big data tools (Hadoop, Spark, Kafka, etc.).


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