Pre-screened and vetted in New Jersey.
Mid-level Data Scientist specializing in Generative AI and NLP for financial risk
“Built and shipped production generative AI/RAG assistants in regulated financial contexts (S&P Global), automating compliance-oriented Q&A over earnings reports/filings with grounded answers and citations. Experienced across the full stack—AWS-based ingestion (PySpark/Glue), vector retrieval + LangChain agents, GPT-4/Claude model selection, and production reliability (monitoring, caching, retries) plus rigorous evaluation and regression testing.”
Mid-level Data Scientist & AI/ML Engineer specializing in GenAI and cloud ML
“GenAI/LLM engineer who recently built a production compliance assistant at State Farm for KYC/AML and regulatory teams, using AWS Bedrock + LangChain with Textract/Lambda pipelines to extract fields, tag risk, and summarize long documents. Implemented RAG, strict structured outputs, and human-in-the-loop guardrails, and reports automating ~80% of documentation work while reducing review time by ~40%.”
Mid-level Data Scientist specializing in LLMs, NLP, and predictive modeling in healthcare and finance
Mid-level Data Scientist specializing in NLP, deep learning, and Generative AI
Mid-level Data Scientist specializing in ML, NLP, and forecasting across finance and retail
Senior Data Scientist specializing in healthcare ML, LLMs, and responsible AI
“Clinical data scientist who has built an agentic LLM-powered literature review assistant (with RAG-style storage/retrieval) to identify predictors for downstream predictive modeling. Also delivered a patient-focused progression analysis model using Databricks + Airflow orchestration, partnering closely with clinicians to define targets and validate that model insights aligned with clinical expectations.”
Mid-level Data Scientist specializing in AI/ML for healthcare analytics
Mid-level Data Scientist specializing in ML, NLP, and Generative AI on cloud platforms
Mid-level Data Scientist specializing in machine learning, computer vision, and generative AI
Senior Lead Data Engineer specializing in cloud data platforms and real-time ML pipelines
Mid-Level Data Engineer specializing in cloud data pipelines and big data platforms
“Data engineer with ~4 years of experience building Python-based data ingestion/processing services and real-time streaming pipelines (Kafka/PubSub + Spark Structured Streaming). Has deployed containerized data applications on Kubernetes with GitLab CI/Jenkins pipelines and applied GitOps to cut deployment time ~40% while reducing config drift. Also supported a legacy on-prem data warehouse/backend migration to GCP using phased migration and parallel validation to meet strict reliability/SLA needs.”
Junior Data Engineer specializing in cloud ETL/ELT and lakehouse platforms
Director-level Data & Analytics Manager specializing in ML, Snowflake ELT, and RAG
Junior Data Scientist/Data Engineer specializing in ML, analytics, and cloud data pipelines