Senior Data Scientist

CNTXT

Posted on 5 Mar

Experience

7 - 9 Years

Job Location

Riyadh - Saudi Arabia

Education

Bachelor of Science(Computers)

Nationality

Any Nationality

Gender

Not Mentioned

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities

Responsibilities

  • Design and implement machine learning models, with a focus on computer vision and time series prediction, to solve business problems.
  • Collaborate with data engineers to build data pipelines, pre-process data, and deploy models at scale.
  • Conduct exploratory data analysis to identify patterns, anomalies, and opportunities for leveraging data to create business value.
  • Evaluate existing machine learning models and continuously improve their performance through DevOps and CI/CD practices.
  • Collaborate with stakeholders to understand business objectives and translate them into data-driven solutions.
  • Understand and contribute to data and application architecture, as well as infrastructure fundamentals.
  • Mentor junior data scientists and provide thought leadership in the field.
  • Present findings and insights to technical and non-technical stakeholders.
  • Lead and participate in Agile development processes to ensure timely delivery
    of data solutions.
  • Keep abreast of the latest developments in the field and identify opportunities
    for innovation.

Desired Candidate Profile

Qualifications

  • Master s or Ph.D. in Computer Science, Statistics, or related field.
  • Minimum of 7 years experience in data science, with minimum 4 years focused on computer vision.
  • Experience with business analysis methodologies like design thinking.
  • Proficiency in programming languages such as Python and SQL, and familiarity with software testing practices.
  • Proficiency in machine learning frameworks like TensorFlow, Keras, and PyTorch for the design and deployment of advanced models.
  • Strong experience in MLOps, DevOps, CI/CD practices, and data and application architecture.
  • Strong statistical background, with experience in both supervised and unsupervised learning methods.
  • Strong communication skills, both written and verbal.
  • Experience with data visualization tools and techniques.
  • Familiarity with infrastructure fundamentals in a cloud computing environment like AWS, Azure, or Google Cloud is a plus.

Company Industry

Department / Functional Area

Keywords

  • Senior Data Scientist

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