Pre-screened and vetted in California.
Mid-level Data Scientist specializing in financial ML, NLP, and MLOps
Senior Basketball Coach and Video Analyst specializing in player development and performance analytics
“Former Division I scholarship athlete and professional player who transitioned into professional coaching in Europe, including coaching at Triglav across U12–U18 and the pro team, plus the U20 Women’s Slovenian National Team. Experienced in identifying and recruiting talent via film, in-person scouting, and social media, and leverages connections with major university coaching staffs to track the best recruiting tournaments/camps.”
Mid-level Data Analyst and Product professional specializing in FinTech and AI applications
“Payments/product-focused operator with hands-on experience owning complex bank connectivity deployments at Paystand, including a migration that raised connection success from under 50% to 79%. Also built a production-grade multi-agent document intelligence system on AWS Bedrock for structured enterprise document extraction, combining real-world fintech domain pain points with modern LLM architecture.”
Intern Data Engineer / BI Analyst specializing in cloud data pipelines and analytics
Mid-level Technical Support/SRE specializing in observability and cloud data operations
Mid-level Data Engineer specializing in Azure, Databricks, and Lakehouse ETL
Junior Workforce Management & Customer Support Analyst specializing in real-time operations
Mid-level Business Analyst specializing in data analytics and BI
Mid-level Data Scientist specializing in ML/AI, NLP/LLMs, and cloud MLOps
Mid-level Data Engineer specializing in cloud-native ETL and real-time data pipelines
Senior AWS Data Engineer specializing in data lakehouse, ETL/ELT, and streaming pipelines
Senior Data Engineer specializing in legal data pipelines and AI-native metadata systems
Mid-level Data Scientist specializing in ML, GenAI, and data engineering for finance and PropTech
Intern Data Scientist specializing in LLMs, RAG, and computer vision
Mid-level Data Engineer specializing in AI/ML data pipelines and lakehouse platforms
Mid-level Business Systems Analyst specializing in enterprise SaaS, HRIS, and ERP implementations
Mid-level Data Engineer specializing in cloud lakehouse and real-time streaming
Mid-level Data Scientist specializing in real-time fraud detection and MLOps
“ML/NLP engineer with experience at Charles Schwab building an NLP + graph (Neo4j) entity-resolution system to unify fragmented user/device/transaction data and improve downstream model quality and analyst querying. Has applied embeddings (SentenceTransformers + FAISS) with domain fine-tuning to boost hard-case matching recall by ~12% while maintaining precision, and has a track record of hardening scalable Python/Spark pipelines and productionizing fraud models via A/B tests and shadow-mode monitoring.”
Junior Product Manager / APM specializing in data tools, CMS platforms, and AI-enabled products
“Data Software Tools Analyst at Q.ai through rapid growth and a $2B Apple acquisition who led an internal CMS for participant/PII workflows using Next.js (App Router) + FastAPI/Postgres with strong security controls (JWT + Postgres RLS). Also drove a major frontend architecture shift toward React Server Components, reporting ~4x faster page loads, and has experience building durable realtime collaboration systems with Supabase/SvelteKit and server-centric state management.”
Mid-level Business Analyst specializing in healthcare and enterprise technology
“Analytics professional with healthcare experience at United Health Group, focused on turning messy claims and transaction data into reliable reporting assets. They combine SQL, Python, and Power BI to automate analysis, define operational KPIs, and build dashboards that improved stakeholder visibility and helped reduce processing time by about 22%.”
Senior AI/ML Engineer and Data Scientist specializing in Generative AI and MLOps
“ML/NLP practitioner focused on financial-services document intelligence and compliance workflows—built an end-to-end pipeline to classify documents and extract financial entities from loan applications, emails, and statements stored in S3/internal databases. Strong in entity resolution/record linkage and in productionizing pipelines with GitHub Actions CI/CD, testing, data validation, and Docker, plus semantic search using OpenAI embeddings and a vector database.”
Principal Data Scientist specializing in Generative AI, NLP, and MLOps
“ML/NLP practitioner with banking experience (M&T Bank) who has built a GPT-4 RAG system using LangChain and Pinecone to connect unstructured customer data with internal knowledge bases, improving accuracy and reducing manual lookup time by 50%+. Strong in entity resolution and productionizing scalable Python data workflows, including major performance wins by migrating bottleneck joins from Pandas to Dask.”
Mid-level Business Data Analyst specializing in healthcare and revenue analytics