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Senior Data Scientist - Recommender Systems (P1922)

84.51°

Salary not specified
Apr 23, 2025
Chicago, IL, US
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The company is looking to enhance customer satisfaction and drive business growth by developing innovative recommender systems for its e-commerce site.

Requirements

  • Proficiency in ML frameworks such as TensorFlow or PyTorch
  • Proficiency in SQL, Python and Spark for data analysis and manipulation
  • Experience working with cloud platforms like Azure or GCP
  • Experience working with Data Engineering and MLOps is desirable
  • Proficiency with statistics, design of experiments, exploratory data analysis, and insights generation
  • Experience working with Databricks is a plus

Responsibilities

  • Develop innovative recommender systems tailored to the unique needs and challenges of grocery retail industry
  • Evaluate and improve recommendation performance through A/B testing and offline evaluations
  • Enhance personalization and diversity in recommendation algorithms
  • Coordinate with ML engineers in the deployment of recommender system models
  • Collaborate with cross-functional teams to implement data science solutions
  • Integrate diverse sources of data to build datasets for model development

Other

  • Bachelor's/Master's degree or equivalent in computer science, data science, statistics, mathematics, analytics, or related discipline
  • 2+ years of proven experience building deep learning models for large-scale recommender systems
  • High level of independence to develop and own toolkits, pipelines, and dashboards
  • Excellent problem-solving skills and a proactive approach to addressing challenges
  • Strong analytical and critical thinking skills with attention to detail
  • Ability to communicate complex ideas effectively to both technical and non-technical stakeholders