Senior Data Scientist

Job Description

As the Senior Data Scientist, you will 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. You will play a crucial role in improving healthcare delivery and patient care by leveraging data science.

What you'll do

• 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.

Basic qualifications

• 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.

Preferred qualifications

• Master's or Ph.D. in Computer Science, Data Science, Statistics, or a related field.
• Extensive experience with large-scale NLP models and frameworks (e.g., BERT, GPT-3/4, T5).
  • Proficiency in fine-tuning and optimizing pre-trained language models.
  • Experience with transfer learning and domain adaptation for NLP tasks.
• 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 (e.g., AWS, Google Cloud Platform, Azure).
  • Knowledge of containerization tools like Docker and orchestration with Kubernetes.
• Solid understanding of MLOps practices for continuous integration, deployment, and monitoring of ML models.
  • Familiarity with tools like MLflow, Kubeflow, or similar platforms.
• Prior experience in leading or mentoring a team of data scientists or machine learning engineers.
  • Proven ability to manage multiple projects and deliver results in a fast-paced environment.
• Knowledge of advanced NLP techniques such as reinforcement learning, conversational AI, or graph-based models.

Best Buy Health is an Affirmative Action and Equal Opportunity Employer dedicated to creating an inclusive environment that values the diversity of our employees and does not discriminate against any employee or applicant. We are committed to equal employment opportunity for all applicants and employees, without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, gender identity, genetic information, or any other protected characteristic under applicable law. Learn more about our Affirmative Action Policy Statement HERE.

Reasonable Accommodation

Best Buy Health will make reasonable accommodations for employees and applicants for their religious beliefs and practices, mental or physical disabilities, and pregnancy, childbirth and related conditions. If you need a reasonable accommodation in the application process - to access job postings, to apply for a job, for a job interview, for pre-employment testing or with the onboarding process - please contact Talent Acquisition at

To learn more about, view the "Know Your Rights" poster and Pay Transparency Nondiscrimination Provision HERE.

Benefits

Best Buy offers a range of benefits to support your overall well-being, as outlined in the Benefits Guide. Eligibility may vary.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.