Job Description

  • Opportunity to work with a American Multinational Conglomerate
  • Stable work environment and growth opportunities.

    • About Our Client

    The hiring company is a large organization within the transport and distribution sector, specializing in third-party logistics solutions. They are known for their focus on innovation and advanced analytics to enhance operational efficiency.

    Job Description

  • Develop and implement advanced machine learning models to solve business challenges in the transport and distribution industry.
  • Analyze large datasets to identify trends, patterns, and actionable insights.
  • Collaborate with cross-functional teams to integrate data solutions into business operations.
  • Create and maintain predictive models to improve decision-making processes.
  • Utilize statistical techniques to evaluate and validate model performance.
  • Communicate findings and recommendations to stakeholders effectively.
  • Design and execute data experiments to optimize third-party logistics operations.
  • Stay updated on the latest advancements in analytics and data science technologies.

    • The Successful Applicant

    A successful Senior Data Scientist should have:

  • 5+ Years of relevant experience in Data science.
  • A strong educational background in data science, statistics, or a related field.
  • Master's Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline
  • Proficiency in machine learning algorithms and statistical modeling techniques.
  • Experience working with large datasets and data visualization tools.
  • Knowledge of programming languages such as Python or R.
  • Familiarity with analytics tools and platforms relevant to transport and distribution.
  • Ability to collaborate effectively with cross-functional teams.

    • Apply for this Position

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