Pre-screened and vetted in Georgia.
Senior Data Scientist specializing in machine learning and big data analytics
Senior Data Analyst specializing in cloud data platforms, experimentation, and predictive analytics
“Healthcare data/ML practitioner with experience at UnitedHealth Group building production ETL and streaming pipelines (Python, BigQuery, Kafka) that unify EHR, IoT device, and lab data for patient risk prediction. Also implemented embedding-based semantic search/linking for noisy clinical notes via domain adaptation and rigorous validation with clinical stakeholders; previously built churn prediction at DirecTV using XGBoost.”
Mid-level Data Analyst specializing in procurement, supply chain analytics, and applied machine learning
“Strategic sourcing professional specializing in seasonal apparel supply chains, combining Coupa/JD Edwards analytics with Excel/Python modeling and Power BI dashboards to drive cost reduction and OTIF gains. Notable for rapid mitigation of a 10-day factory delay affecting 12 holiday SKUs (preserved 95% of revenue) and for automating PO workflows to cut cycle time by 4.2 days and improve OTIF by 15%.”
Executive Technology Leader specializing in cloud, data platforms, and distributed systems
Staff Data Scientist & GenAI/ML Engineer specializing in agentic systems and GraphRAG
Junior Data Scientist specializing in ML, LLMs, and RAG applications
“University hackathon finalist (2nd place) who built CareerSpark, a production-style multi-agent career guidance app in 24 hours using a hierarchical debate architecture with a moderator/judge agent. Has startup internship experience at LiveSpheres AI using LangChain for multi-LLM orchestration, and demonstrates a structured approach to testing/evaluation (golden sets, integration sims, latency/accuracy KPIs) plus strong non-technical stakeholder communication.”
Senior Data Scientist specializing in geospatial ML and environmental analytics
“Applied ML practitioner who deployed a near-real-time water-quality monitoring tool for Gwinnett County by fusing ESA satellite imagery with in-situ measurements to predict chlorophyll-A and support early warnings for harmful algal blooms. Also working on a multimodal deep-learning project combining skin lesion images with patient tabular/text data (TensorFlow, embeddings) to predict melanoma risk.”
Mid-level Power BI Developer specializing in BI analytics and SQL performance optimization
Mid-level Data Scientist specializing in pricing, revenue optimization, and operational efficiency
Senior Data Engineer specializing in AWS-based data pipelines and multi-tenant SaaS
Mid-level Game Designer & BI/UX Analyst specializing in game systems and data-driven design