onsite
Senior Data Scientist - ML/AI Digital Workplace Experience - CVS Health
Data Scientist
Lead advanced ML/AI initiatives to enhance digital workplace experiences, leveraging Python, deep learning frameworks, and cloud services to deliver scalable, data‑driven solutions.
About the role
Key Responsibilities
- Design, develop, and deploy end‑to‑end machine learning models that power personalized digital workplace features.
- Collaborate with cross‑functional teams to translate business requirements into data‑centric solutions.
- Implement robust data pipelines using SQL and Python, ensuring data quality and accessibility.
- Utilize AWS services (SageMaker, Lambda, S3) for model training, deployment, and monitoring at scale.
- Conduct rigorous experimentation, A/B testing, and performance analysis to iterate on model effectiveness.
Requirements
- 10+ years of experience in data science with a strong focus on machine learning and deep learning.
- Proficiency in Python, TensorFlow/PyTorch, and SQL for data manipulation and model development.
- Hands‑on experience deploying models on AWS, including SageMaker, Lambda, and related services.
- Excellent problem‑solving skills and ability to communicate complex technical concepts to non‑technical stakeholders.
- Strong background in statistical analysis, feature engineering, and model evaluation.
Skills
pythonmachine learningdeep learningdata analysissqlawstensorflow