New!
Data Scientist - AI/ML Stamford American International Hospital
Palo Alto, CA6 days ago
- $79.21–$104.97 Per Hour
| Location | South San Francisco, CA (Remote) |
Role: Data Scientist – Applied AI
Duration: 6 months contract (possible extension)
Location: Remote
Summary: We are seeking a Data Scientist to develop and operationalize AI and machine learning solutions supporting business decision-making. The role will focus on applied AI, predictive modeling, analytics, and intelligent workflows, working closely with product, data, engineering, and business teams.
Key Responsibilities:
Design, develop, and deploy machine learning and AI solutions.
Perform data exploration, feature engineering, model training, validation, and optimization.
Develop predictive models, forecasting, and decision-support solutions.
Apply modern AI techniques including NLP, LLMs, and intelligent automation.
Build analytics, KPIs, and dashboards to support business decisions.
Collaborate with engineering teams on ML/AI deployment, monitoring, and lifecycle management.
Communicate analytical findings and AI insights to technical and business stakeholders.
Required Qualifications:
Master's degree or PhD in Data Science, Computer Science, Statistics, Mathematics, AI, Engineering, or related field.
5+ years of experience in data science, applied AI, machine learning, or advanced analytics.
Strong experience developing and deploying ML models.
Strong Python skills with scikit-learn, TensorFlow, PyTorch, pandas, and NumPy.
Strong SQL skills and experience working with large datasets.
Experience with predictive modeling, forecasting, classification, or decision-support solutions.
Experience working with structured and unstructured data.
Familiarity with AWS, GCP, or Azure.
Strong communication and stakeholder collaboration skills.
Preferred Qualifications:
Experience with LLMs, NLP, vector databases, or agentic AI.
Experience with MLOps/LLMOps and productionizing AI/ML models.
Experience with AWS SageMaker or equivalent.
Experience with Power BI, Tableau, or similar visualization tools.
Healthcare, life sciences, partnering, or business development experience is a plus.