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Data Science and Machine Learning Expert

2 months ago

Dubai, Dubai, United Arab Emirates PROCTER & GAMBLE Full time

**Job Overview**

At Procter & Gamble, we are seeking a highly skilled Data Science and Machine Learning Engineer to join our team. As a key member of our organization, you will be responsible for developing and implementing advanced machine learning models to drive business growth and improve customer experiences.

**Key Responsibilities**

  • Design and develop complex machine learning algorithms and models to solve business problems and improve operational efficiency.
  • Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to understand business needs and develop data-driven solutions.
  • Develop and maintain large-scale data pipelines and architectures to support machine learning model deployment.
  • Work with cloud platforms (e.g., AWS, Azure, Google Cloud) and distributed computing frameworks (e.g., Hadoop, Spark) to ensure scalability and reliability.
  • Develop and implement data visualization tools (e.g., Matplotlib, Seaborn, Tableau) to effectively communicate insights and recommendations to stakeholders.
  • Stay up-to-date with emerging trends and technologies in machine learning and data science, and apply this knowledge to drive innovation and improvement.

**Requirements**

  • Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.
  • Strong background in statistics, mathematics, and computer science, with a focus on machine learning and data science.
  • Proficiency in programming languages such as Python or R, and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Solid understanding of machine learning techniques, including regression, classification, clustering, natural language processing, deep learning, and reinforcement learning.
  • Experience with data manipulation and analysis using SQL and/or NoSQL databases, and ability to preprocess and clean data, handle missing values, and perform feature engineering.
  • Strong problem-solving skills and ability to develop innovative solutions to complex business challenges.
  • Excellent communication skills, with ability to present complex findings in a clear and understandable manner to both technical and non-technical stakeholders.
  • Strong attention to detail, with ability to work independently and manage multiple projects simultaneously.