Grip Invest

Data Scientist - Machine Learning

Job description

What You'll Do

  • Support business decision making by deriving actionable insights from structured and unstructured data
  • Conduct end-to-end machine learning and data analytics activities, including data wrangling, feature engineering, building and evaluating ML models.
  • Research and implement novel machine learning approaches to enable informed business decisions.
  • Collaborate with business and engineering teams to analyze, extract, normalize, and label relevant data.
  • Perform data engineering, feature engineering, data preprocessing to train and tune ML models
  • Utilize BI tools to prepare reports, analyze and visualize data.
  • Implement MLOps practices such as CI/CD and continuous training (CT) for deploying and maintaining ML models in production environments.

Your Superpowers

Experience :

  • 3 to 5 years of experience in data analytics and machine learning
  • Hands-on experience with ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas and NumPy.
  • Proficiency in writing production-quality code in Python, with a strong understanding of object-oriented programming principles
  • Proven experience in analyzing and working with large datasets
  • Hands on experience with various BI tools
  • Expertise in applying both supervised and unsupervised learning techniques
  • Expertise & Learning Agility
  • You are open to new ways of thinking and committed to acquiring new skills to retain a competitive advantage
  • You employ a thoughtful process of analyzing data and problem-solving to reach well-reasoned solutions
  • Strong collaboration, communication, and creative thinking skills

(ref:hirist.tech)

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