Senior Data Scientist Job at Creative Chaos, Saudi Arabia

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  • Creative Chaos
  • Saudi Arabia

Job Description

Job Brief:
We are seeking a highly skilled Data Scientist to join our dynamic team. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling. You will be responsible for analyzing large datasets to uncover trends and insights, building predictive models, and contributing to data-driven decision-making processes.

Duties and Responsibilities:

  • Lead the development and execution of data science projects, including problem formulation, data collection, analysis, modeling, and deployment of machine learning models.

  • Collaborate with cross-functional teams to identify business opportunities and translate them into data science projects.

  • Develop and implement machine learning algorithms and statistical models to solve complex business problems.

  • Perform exploratory data analysis to gain insights and identify patterns in large and complex datasets.

  • Work with data engineers to build robust and scalable data pipelines.

  • Evaluate and validate models using appropriate performance metrics and statistical techniques.

  • Present findings and insights to stakeholders in a clear and concise manner.

  • Stay up-to-date with the latest advancements and best practices in data science and machine learning.

  • Mentor and guide more junior data scientists in the team.

Requirements

  • Master's or PhD in Computer Science, Statistics, Mathematics, or a related field.
  • Minimum of 5 years of industry experience as a data scientist.
  • Strong knowledge and experience in machine learning, statistical modeling, and data mining.
  • Proficiency in Python or R for data analysis and modeling.
  • Experience with big data technologies such as Hadoop, Spark, or SQL.
  • Experience with deep learning frameworks such as TensorFlow or PyTorch is a plus.
  • Strong problem-solving and critical-thinking skills.
  • Excellent communication and presentation skills.
  • Ability to work effectively in cross-functional teams.
  • Strong attention to detail and ability to work on multiple projects simultaneously.

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