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Data Scientist

Skills
SQLLarge Language ModelsPythonTensorflow
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field
  • Proficiency in Python, including libraries such as TensorFlow, PyTorch, and scikit-learn
  • Experience with Large Language Models like llama, Claude, etc.
  • Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and their machine learning services
  • Strong SQL knowledge for data manipulation and querying
  • Experience with modern data warehouses like Snowflake or BigQuery
  • Proficient with source control, Git and/or GitHub
  • Familiarity with MLOps tools and practices
  • Experience with data engineering practices and tools (e.g., ETL processes, data warehousing)
  • Worked in an agile team environment
  • Strong analytical and problem-solving skills with the ability to think creatively and strategically
  • Excellent verbal and written communication skills, with the ability to present complex technical concepts to diverse audiences

Nice to have

  • Curious
  • Innovative
  • Automation-focused
  • Strategic thinker

Day to day

  • Play a pivotal role in developing, and deploying ML/AI models to revolutionize our retail operations
  • Work with cross-functional teams to create data-driven solutions that enhance product recommendations, optimize inventory management, and personalize customer interactions
  • Deploy and maintain machine learning models in production environments (Astronomer, AWS, Snowpark)

Hiring process

  • Reviewed by recruitment team
  • Assessment or selection process (accommodations available)