Computer ScienceArtificial IntelligenceData ScienceDatasetsLanguage ModelingMachine LearningNatural Language ProcessingPattern RecognitionStatisticsTransfer Learning
Mid-level (3-4 years) -
BostonMA
Our purpose is to enrich lives through technology.
69245+ employees
Technology
Open for applications
Role
Who you are
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.
Desirables
Master’s or Ph.D.
Experience with transfer learning and domain adaptation for NLP tasks.
What the job involves
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.
Application process
Contact Talent Acquisition at talent.acquisition@bestbuy.com if you need a reasonable accommodation in the application process.
At Best Buy, our purpose is to enrich lives through technology. We do that by leveraging our unique combination of tech expertise and human touch to meet our customers’ everyday needs, whether they come to us online, visit our stores or invite us into their homes. With over 1,000 stores and more than 90,000 employees in the United States and Canada, we solve key human needs in the areas of productivity, security, health, entertainment, connectivity, and more.