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Senior Data Scientist

Skills
Computer ScienceArtificial IntelligenceData ScienceDatasetsLanguage ModelingMachine LearningNatural Language Processing
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
  • 3+ years of hands-on experience in data science or machine learning, with a focus on NLP.
  • Experience with large-scale NLP models and frameworks such as BERT or GPT.
  • Proficiency in fine-tuning and optimizing pre-trained language models.
  • Strong programming skills in Python, with expertise in NLP libraries such as spaCy, Hugging Face, or NLTK.
  • Familiarity with deep learning frameworks like TensorFlow or PyTorch.
  • Experience deploying machine learning models on cloud platforms.
  • Knowledge of containerization tools like Docker and orchestration with Kubernetes.
  • Understanding of MLOps practices for integration, deployment, and monitoring.
  • Experience with tools like MLflow or Kubeflow.
  • Experience in leading or mentoring a team of data scientists.
  • Ability to manage multiple projects and deliver results in a fast-paced environment.
  • Knowledge of reinforcement learning, conversational AI, or graph-based models.

Nice to have

  • Master’s or Ph.D.
  • Experience with transfer learning and domain adaptation for NLP tasks.

Day to day

  • Work as part of a broader Data Science team in collaboration with Product and Engineering to deliver solutions focused on improving quality and efficiency of care delivery in the context of hospital-level care at home.
  • Lead data-driven decision-making by identifying key insights from large and complex datasets, driving strategic business initiatives.
  • Develop and implement end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, and deployment.
  • Design, develop, and deploy cutting-edge NLP models for tasks such as text classification, sentiment analysis, and named entity recognition.
  • Lead the research and application of advanced NLP techniques, including transformers, BERT, GPT, and other deep learning frameworks.
  • Collaborate with product managers and engineers to translate business requirements into scalable technical solutions.
  • Optimize and fine-tune NLP models for performance, accuracy, and scalability in production environments.
  • Mentor and guide junior data scientists, promoting a culture of innovation and continuous learning.

Hiring process

  • Contact Talent Acquisition at talent.acquisition@bestbuy.com if you need a reasonable accommodation in the application process.