Data Scientist

2 weeks ago

New York, New York, United States Saks Full time
Job Description

Saks is a world-renowned luxury ecommerce destination seeking a highly skilled Data Scientist to join our team. As a Data Scientist, you will play a pivotal role in developing and deploying ML/AI models to revolutionize our retail operations.

You will work closely with cross-functional teams to create data-driven solutions that enhance product recommendations, optimize inventory management, and personalize customer interactions.

Key Responsibilities:

  • Develop and implement ML/AI models and algorithms to address specific retail challenges.
  • Collaborate with data engineers to preprocess, clean, and structure data for model training and evaluation.
  • Deploy and maintain machine learning models in production environments.
  • Work closely with data scientists, software engineers, and business stakeholders to understand requirements and translate them into technical solutions.
  • Continuously evaluate and fine-tune models to improve performance and accuracy.

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 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.
  • Worked with modern data warehouses like Snowflake or BigQuery.
  • Used source control, Git and/or GitHub, proficiently.
  • Familiarity with MLOps tools and practices for deploying and managing machine learning models.

What We Offer:

  • Exposure to rewarding career advancement opportunities.
  • A culture that promotes a healthy, fulfilling work/life balance.
  • Benefits package for all eligible full-time employees.
  • An amazing employee discount.

Saks provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.

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