Senior Data Scientist: AI Expert for Healthcare

6 days ago


Étreux, Hauts-de-France, United States Best Buy Full time
Job Summary

We are seeking an experienced Senior Data Scientist to join our team at Best Buy. As a key member of our Data Science team, you will work collaboratively with Product and Engineering to deliver solutions that drive quality and efficiency in care delivery.

The successful candidate will play a crucial role in improving healthcare outcomes by leveraging data science techniques such as machine learning and natural language processing (NLP).

Main Responsibilities
  1. Leverage large datasets to identify key insights and drive business decisions.
  2. Develop and implement end-to-end machine learning pipelines for data preprocessing, feature engineering, model training, and deployment.
  3. Create cutting-edge NLP models for tasks like text classification, sentiment analysis, and named entity recognition.
  4. Research and apply advanced NLP techniques, including transformers and deep learning frameworks.
  5. Collaborate with product managers and engineers to translate business requirements into scalable technical solutions.
  6. Optimize and fine-tune NLP models for performance, accuracy, and scalability in production environments.
  7. Mentor junior data scientists, promoting innovation and continuous learning.
Requirements
  1. Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
  2. At least 3 years of experience in data science or machine learning, with a focus on NLP.
Preferred Qualifications
  1. Master's or Ph.D. in Computer Science, Data Science, Statistics, or a related field.
  2. Extensive experience with large-scale NLP models and frameworks.
  3. Proficiency in fine-tuning and optimizing pre-trained language models.
  4. Experience with transfer learning and domain adaptation for NLP tasks.
  5. Strong programming skills in Python, with expertise in NLP libraries like spaCy and Hugging Face.
  6. Familiarity with deep learning frameworks like TensorFlow and PyTorch.
  7. Experience deploying machine learning models on cloud platforms like AWS, GCP, and Azure.
  8. Solid understanding of MLOps practices for continuous integration, deployment, and monitoring of ML models.
  9. Prior experience leading or mentoring a team of data scientists or machine learning engineers.
  10. Proven ability to manage multiple projects and deliver results in a fast-paced environment.
Compensation and Benefits

We offer a competitive salary of $140,000 - $160,000 per year, depending on experience. In addition to a comprehensive benefits package, we also provide opportunities for professional growth and development.



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