Pre-screened and vetted in New York.
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.”
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).”
Mid-level AI/ML Engineer specializing in GenAI and cloud MLOps
“Applied LLMs to high-stakes domains (wildfire risk for emergency teams and loan approval via a fine-tuned IBM Granite model), with a strong focus on reliability—using RAG-based cross-validation to reduce hallucinations and continuous ingestion pipelines (MODIS satellite imagery via AWS Lambda) to keep data current. Experienced in production orchestration and MLOps-style workflows using Airflow, AWS Step Functions, and SageMaker Pipelines, and collaborates closely with analysts on KPI-driven evaluation.”
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
Junior Systems & Software Engineer specializing in distributed systems and industrial automation
Senior Data Engineer specializing in cloud data platforms and lakehouse architecture
Mid-level Supply Chain Analyst specializing in demand planning, MRP, and inventory optimization
Mid-level Data Analyst/Data Engineer specializing in machine learning and NLP
Mid-level Business Systems Analyst specializing in financial systems and QA
Mid-level Data Analyst specializing in analytics, dashboards, and growth insights
Senior Private Equity & Growth Equity Analyst specializing in M&A and fundraising
Senior Data Scientist specializing in LLM applications, RAG systems, and production ML
“Senior Data Scientist in consulting who has built production RAG systems for insurance/annuity document search at large scale (100K+ PDF pages), emphasizing grounded answers, guardrails, and low-latency retrieval. Experienced in end-to-end MLOps for LLM apps—monitoring, evaluation sets, drift handling, and safe rollouts—and in orchestrating complex pipelines with Prefect/Airflow and deploying services on Kubernetes.”
Mid-level Data Analyst specializing in ETL pipelines and business intelligence
“Analytics-focused candidate with hands-on experience building compliance and contract utilization reporting from messy contract, vendor, subcontractor, and payment data. They combine SQL and Python automation to improve reporting speed and accuracy, and show strong stakeholder discipline through validation sessions, documentation, and dashboard adoption.”
Intern Data Analyst and Software Engineer specializing in AI/ML and data platforms
Junior Data Annotation Analyst specializing in AI model quality and edge CV
Senior Data Scientist specializing in machine learning and battery R&D analytics
Mid-level Data Engineer specializing in AI, analytics, and cloud data platforms
Senior Data Scientist / AI Engineer specializing in LLMs, RAG, and production ML
“Data science professional who has built a production RAG-based LLM question-answering system ("Flash Query") to deliver fast, accurate answers over large document collections, focusing on retrieval quality and grounded responses. Also collaborates with non-technical retail/jewelry stakeholders to turn business questions into predictive models and dashboards for decision-making.”
Junior Electrical and Computer Engineer specializing in ASIC, embedded systems, and RF design
“Candidate has hands-on hardware experience fabricating a MIMO UWB antenna, including identifying mathematical design parameters, using simulation software, and validating performance through S-parameter results. Also mentions using Figma for design work, though details on workflow and collaboration were limited.”