Pre-screened and vetted in Maryland.
Principal Data Scientist specializing in Generative AI and security analytics
Director-level Data Engineering & MDM leader specializing in enterprise data platforms
“Former Xendit (YC-backed fintech) operator applying outcome-driven, scalable product-building experience to a new startup: a real-time, personalized real estate investment intelligence platform. Has begun prototyping, completed ROI analysis, and validated the space with US market research plus broker interviews in Chicago and Los Angeles, aiming to differentiate from Zillow/Redfin with goal-based ranked investment recommendations.”
Senior Data Engineer specializing in large-scale multimedia and secure analytics platforms
Junior Robotics Engineer specializing in ROS2 autonomous systems and perception
Mid-level Cybersecurity & Risk Consultant specializing in DLP analytics and security dashboards
Senior Credit Risk & Compliance Data Science Leader in FinTech and Payments
Senior Data Scientist / ML Engineer specializing in cloud ML pipelines and GenAI
“ML/NLP practitioner with experience building a transformer-failure prediction system that combines sensor signals with unstructured maintenance comments using LLM-based extraction and similarity validation. Strong emphasis on production readiness—data leakage controls, SQL-driven data quality tiers, and rigorous bias/fairness validation (including contract/spec evaluation across diverse company profiles).”
Senior QA Tester specializing in video games and mobile content QA
Senior Data Engineer specializing in cloud data platforms and modern ELT
Mid-level Data Engineer specializing in cloud-native lakehouse and streaming analytics
Mid-level Marketing Analytics & Performance Marketing Analyst specializing in paid media and attribution
“Performance creative/growth marketer with hands-on experience running full-funnel paid social for e-commerce and other brands, focused on combating creative fatigue and scaling efficiently. Uses structured A/B testing and modular creative systems across Meta, TikTok, and YouTube; recently delivered a 22% CPA reduction and 28% ROAS lift by shifting to problem-solution and social-proof storytelling.”
Junior Data Analyst specializing in analytics, BI, and machine learning
“Analytics-focused candidate with experience owning end-to-end data projects across AI transcription, retail forecasting, and transportation revenue analytics. They combine strong SQL/Python pipeline skills with dashboarding and stakeholder alignment, citing measurable impact including 60% lower ETL latency, 18% better forecast accuracy, and 25% operational efficiency gains.”
Mid-level Data Engineer specializing in cloud ETL and big data platforms
Senior Data Scientist specializing in ML, NLP, and predictive analytics
Mid-level Data Engineer specializing in streaming data pipelines and cloud data platforms
Mid-level Data Analytics Engineer specializing in ETL pipelines and BI dashboards
Mid-level Data Analyst specializing in financial and healthcare analytics
“Analytics professional with experience at JPMorgan and Deloitte, focused on financial and risk data. They stand out for building scalable SQL/Python data pipelines, KPI and forecasting dashboards, and retention/cohort metrics that improved reporting reliability, forecast accuracy, and planning speed.”
Mid-level Data Scientist specializing in NLP, recommender systems, and cloud ML
Mid-level Backend & Data Engineer specializing in analytics pipelines and automation
Mid-level Data Analyst specializing in analytics, budgeting, and sports data systems
“Baseball advisor/recruiter with a player-development lens shaped by his own injury experience, combining TrackMan-driven analytics with deep coach and program relationships. He has helped athletes navigate high-stakes draft, rehab, and college decisions, including identifying under-scouted talent like John Klein and supporting his path to the Twins' 40-man roster.”
Mid-level Data & AI Engineer specializing in cloud ML, MLOps, and LLM applications
Mid-level Data & Analytics Analyst specializing in SQL, Snowflake, and AWS automation