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Data Scientist
The Brixton Group
Quincy, KY
On-site Engineering Full time Posted 1 week ago
Pay not listed Apply Now
ORIGINAL JOB LISTING

Data Scientist

The Brixton Group
Quincy, KY
On Site
Posted 1 week ago
Pay not listed

This job is currently accepting applications. Review the details and apply today.

About this role

Duration: 6+ months On-site 3 days/week in Quincy, MA Relocation Accepted: Yes

Responsibilities

  • Build, test, and deploy recommendations, personalization, and predictive models that power digital experiences across banners.
  • Develop end-to-end ML pipelines from data preparation and feature engineering to model training, evaluation, and production inference.
  • Leverage Hugging Face Transformers, embedding models, and semantic search techniques to enhance product relevance and contextual understanding.
  • Explore generative AI and retrieval-augmented generation (RAG) approaches for product matching, search, and personalization.
  • Collaborate with MLEs to productionize models and ensure scalable, monitored, and retrainable ML systems.
  • Partner with Data Engineers to design efficient data flows and maintain clean, versioned datasets for model consumption.
  • Work with Data Science Leads and business stakeholders to define success metrics, design A/B experiments, and translate insights into data-driven actions.
  • Contribute to shared best practices, documentation, and continuous improvement of ADUSA's advanced analytics ecosystem.

Required Skills & Experience

  • Proficiency in Python, PySpark, and Databricks for large-scale data processing and ML development.
  • Strong experience with scikit-learn, PyTorch, TensorFlow, and Hugging Face libraries.
  • Proven background in recommendation systems, semantic search, or customer personalization models.
  • Experience in feature engineering, EDA, model evaluation, and MLOps workflows.
  • Familiarity with A/B testing frameworks and model observability practices.
  • Strong collaboration and communication skills to work effectively.

Benefits

  • Benefits details are shared by the employer during the hiring process.

Environment

Strong collaboration and communication skills to work effectively.

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