Senior Manager Data Science Expert

1 week ago


Kuwait City, Al Asimah Ooredoo Full time
About the Job

We are seeking a highly skilled Data Scientist Manager to lead our team and drive innovation in data-driven decision-making.

Key Responsibilities:
  1. Data Science Methodology & Processes
  • Translate business requirements into AA model specs.
  • Expertise in data science methodology and processes.
  • Develop and deploy AI/ML-based models, and manage their lifecycle.
  • Analyze business requirements and manage DS projects.
  • Conduct statistical analysis and data visualization.
  • Develop and deploy various AI & DS models for revenue generation, cost reduction, and operational enhancement.
  • Collaborate with diverse teams to create innovative data products for B2C and B2B markets.
  • Provide insights for strategic decision-making through comprehensive business analysis.
  • Perform data pre-processing, feature engineering, and exploratory data analysis.
  • Build ETL pipelines to transform unstructured data into suitable formats.
  • Develop automated analytics solutions and APIs for data access and integration.
  • Deal with various data formats and apply techniques for data enrichment.
  • Integrate with big data ecosystems and optimize SQL queries.
  • Utilize tools like Airflow/ MLFlow for automated data pipelines and statistical methods for transformation.
  • Work on shared functions across the organization to support product growth, cost optimization, customer engagement, etc.
  • Engineer features and provide insights through statistical measures/algorithms/graphs/info graphics.
  • Support business processes for data monetization, commercialization, and offer valuable insights to improve customer experience across touchpoints.
  • Presentation of model results in a business-friendly format.
  • Visualization of key business insights and data using advanced techniques and tools.
  • Ongoing support to use case owner departments by optimizing models via optimization and self-learning.
  • Agressive tracking of results and utilization of leads.
  • Manage the Data Science Operational Framework.
  • Evaluate the effectiveness and accuracy of new data sources and data gathering techniques.
  • Suggest solutions and strategies to business challenges using key insights from AA models.

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