Senior / Lead Data Scientist [Riyadh]

3 days ago

Greater Toronto Area Canada, Ontario Talent Seed Full time

*Riyadh Based* - This role requires relocation to Riyadh, KSA


Our client seeks a Senior / Lead Data Scientist with a passion for data and at least 6 years of industry experience. The successful candidate will develop models that transform complex datasets into actionable insights, enhancing our product offerings and informing strategic decisions.


Key Responsibilities:

  • Develop and deploy machine learning models and algorithms to address complex business challenges.
  • Translate intricate business problems into technical solutions.
  • Write clean, modular, and scalable code suitable for production environments.
  • Lead data mining and collection strategies to prepare large-scale data for predictive and prescriptive modelling.
  • Analyze extensive, complex datasets to extract insights and communicate results effectively.
  • Innovate new modelling and machine learning approaches to enhance existing processes and capabilities.
  • Collaborate with cross-functional teams, including engineering, product management, MLOps, and leadership, to define problem statements, scope projects, and deliver analytics solutions.
  • Mentor peers in data science and model development, promoting best practices.
  • Remain abreast of the latest technologies and trends in artificial intelligence and machine learning.


Required Qualifications:

  • Bachelor’s degree or higher in a quantitative field such as Computer Science, Statistics, Mathematics, or Engineering.
  • 6+ years of experience in data science, with strong proficiency in writing scale and production-grade code in Python.
  • Solid understanding and proficiency in working with Pandas, NumPy, Scikit-Learn, TensorFlow, and PyTorch, SQL.
  • Proficiency in advanced data visualization tools and libraries (e.g., Matplotlib, Seaborn, Plotly, Tableau) for creating insightful and interactive visualizations.
  • Solid understanding of data structures, data modelling, and software architecture.
  • Experience with cloud services (such as AWS) and tools for machine learning projects.
  • Strong analytical skills with an aptitude for problem-solving and innovation.
  • Experience working in cross-cultural and cross-functional teams, ideally in a product company.


Preferred Qualifications:

  • A Master’s or higher in a relevant field to deepen theoretical knowledge and practical skills.
  • Experience with AWS or other cloud technologies for model training and deployment.

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