Pre-screened and vetted in the NYC Metro.
Junior data and UX analyst specializing in analytics, web development, and business insights
Senior Data Scientist specializing in analytics, ETL pipelines, and KPI dashboards
Mid-level Data Scientist specializing in ML, NLP/LLMs, and fraud & risk analytics
Mid-level Data Engineer specializing in cloud data pipelines and warehousing
Mid-level Business Analyst specializing in financial services and credit risk
Mid-level Data Engineer specializing in cloud ETL/ELT, Spark, and streaming pipelines
Mid-level Data Analyst specializing in healthcare, manufacturing, and financial services
Mid-level Data Scientist specializing in LLMs, NLP, and predictive modeling in healthcare and finance
Mid-level Data Scientist specializing in GenAI, RAG, and multi-agent orchestration
Mid-Level Data Engineer specializing in cloud data platforms (AWS & GCP)
Senior Business Analyst specializing in analytics engineering and FinTech data solutions
Mid-level Data Scientist specializing in NLP, deep learning, and Generative AI
Senior Data Analyst specializing in healthcare, biopharma, and financial services analytics
Mid-level Data Scientist specializing in ML, NLP, and forecasting across finance and retail
Mid-level Data Engineer specializing in cloud lakehouse and streaming analytics for financial services
Mid-level Business Intelligence Engineer specializing in AI-powered analytics
Senior Data Engineer specializing in ETL/ELT pipelines and data integration platforms
“Data engineer/software engineer who led an end-to-end ETL/ELT pipeline at Pearson processing millions of rows of student data nightly, including client-side data prep/validation, SFTP/API ingestion, staging-based SQL validation/transforms, and production loading. Built reliability features like configurable per-client validation thresholds, detailed reporting, concurrency throttling via a custom queue, and multi-source merge/backfill logic to keep nightly loads running even when sources fail.”
Mid-level Data Scientist / ML Engineer specializing in healthcare predictive analytics and NLP
“Built and deployed a real-time hospital readmission risk prediction system at NYU Langone Health, combining structured EHR data with BERT-based NLP on clinical notes and serving predictions to clinicians via Azure ML and FHIR APIs. Emphasizes production reliability and clinical trust through SHAP-based explainability and robust healthcare data preprocessing, and reports a 22% reduction in 30-day readmissions.”
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.”
Principal Data Scientist specializing in cybersecurity ML and MLOps
“ML/NLP engineer (Beyond Identity) who built production semantic search and entity-resolution systems over internal security documentation, using LDA + BERT embeddings with FAISS/Pinecone to cut search time by 30%. Also scaled a real-time anomaly detection pipeline to millions of events/day with Spark and AWS Lambda, with strong emphasis on measurable validation (Precision@k, MRR, F1, ARI).”
Senior Finance & Investment Analyst specializing in TMT, valuation, and quantitative strategy
“VC deal-sourcing professional with Sutton Capital experience who combines quantitative tooling, alternative data, and thesis-driven founder outreach to surface under-the-radar startups early. Distinctive for building Python-based sourcing and tracking engines, converting cold outreach into qualified deal flow, and pairing relationship-building with rigorous unit economics analysis for partner-level investment decisions.”
Senior Insights Manager specializing in audience research and ad effectiveness