Data Scientist - Fully Remote - w2 - Candidate Must be in EST

Oracle Database Engineer (Exadata Platform)We are seeking an engineer with hands-on Oracle Exadata platform expertise combined with strong Oracle client/application-side experience to support large-scale database migrations and ongoing production operations. We are seeking candidates with deep experience with Oracle Exadata (on-prem or OCI / Database@Azure), including architecture, performance characteristics, HA/DR concepts, and operational support. The selected candidate will have strong Orac

Key Skill Set:LLM- Azure Functions- Azure AI Foundry- Azure OpenAI- Text2SQL, RAG, LLMs- Computer Vision- Good with Databases SQL, CosmosDB, Snowflake-Building Rule Engines for AI Output Validation- Overall AI/ML- Python Development- Azure Data Factory, Azure Databricks(Good to have)- Fullstack Development (Good to have) Frontend + Backend Technologies

Data Scientist Technical Requirement Role Level: Senior Work Type: Remote Role Overview We are seeking a Data Scientist to support both traditional analytical work and AI/ML product initiatives within a healthcare data environment. This individual will be embedded on a team that values strong data fundamentals alongside applied modeling experience. Key Responsibilities Develop, validate, and maintain forecasting models to support business and product decisions Analyze complex healthcare datasets

Hi, Position: Data Scientist Location: Remote Duration: long Term Required Qualifications Strong knowledge of hypothesis testing, OLS, GLM, and causal inference techniques. Proficiency in Python and SQL; experience with libraries like statsmodels, scikit-learn, DoWhy, linearmodels. Experience with A/B testing and experimental design. Familiarity with Databricks or similar enterprise cloud environments. Self-starter with an ownership mindset and ability to work independently.