Pre-screened and vetted in Remote.
Mid-level Data Analyst specializing in BI, analytics, and healthcare data
“Analytics professional at Optum with hands-on experience turning messy healthcare claims data from SQL, Excel, and CRM systems into validated reporting datasets and Power BI dashboards. They also built reproducible Python workflows for claims analysis and owned an end-to-end project focused on improving claims processing efficiency through metric design, segmentation, and stakeholder-driven operational improvements.”
Junior Data Analyst and Software Engineer specializing in SQL, Python, and ML
Senior Business Analyst specializing in SaaS implementations and enterprise systems
Mid-level Data Analyst specializing in procurement and supply chain analytics
Mid-level Game Engine Tester and LiDAR Labeling Analyst in autonomous vehicles
Mid-level Data Engineer specializing in AWS cloud data platforms and streaming analytics
Mid-level Data Analyst specializing in business, logistics, and procurement analytics
Mid-level Data Engineer specializing in real-time streaming pipelines and healthcare data
Mid-level Data Engineer specializing in reliable data pipelines, metadata enrichment, and APIs
Mid-level Software QA Analyst specializing in Healthcare IT and EHR workflows
Mid-level Business Analyst and Product Manager specializing in FinTech AI products
Junior AI/ML Engineer and Full-Stack Developer specializing in RAG systems
Mid-level Data Engineer specializing in cloud data platforms and BI analytics
Junior Data & Insights Analyst specializing in BI, dashboards, and automation
“Worked on taking an LLM-based system at Soundmakr from prototype to production by adding prompt constraints, validation/guardrails, deterministic ranking, and robust logging/monitoring with feedback loops. Also partnered with product/marketing during an internship on Thea: Study Smart to analyze onboarding drop-offs and run A/B tests on AI-driven flows, translating results into actions that improved retention and conversion.”
Mid-level Data Engineer and Business Analyst specializing in cloud ETL and analytics
“Data analyst with cross-industry experience spanning insurance analytics at L&T Infotech and experimental imaging analytics at Mylyser. Stands out for building scalable SQL/PySpark data pipelines, standardizing business-critical metrics like claims lifecycle and policy retention, and delivering measurable impact such as 50%+ faster query performance and a 15% reduction in claims settlement time.”
Senior Data Scientist specializing in ML, NLP, and production AI systems
“Machine learning/NLP engineer with deep Azure stack experience (Data Factory, Databricks/Spark, Delta Lake, Azure OpenAI, Azure AI Search) who built end-to-end production systems for semantic clustering, entity resolution, and hybrid search. Demonstrated measurable gains from embedding fine-tuning (~15% retrieval precision, ~10–12% nDCG@10) and designed scalable, quality-checked pipelines with MLOps best practices.”
Senior Data Engineer specializing in cloud data platforms and real-time analytics
“Data/analytics engineer focused on finance and e-commerce integrations, building end-to-end pipelines and services across Odoo, QuickBooks, Snowflake, and Tableau. Replaced a costly third-party Walmart connector with a serverless AWS Lambda pipeline deployed via Terraform/GitHub and monitored with CloudWatch/Datadog, and shipped a bi-directional Odoo↔QuickBooks invoice sync with distributed locking plus Slack-based finance approvals.”
Mid-level Data Scientist & AI/ML Engineer specializing in GenAI, NLP, and predictive modeling
Mid-level Data Scientist specializing in ML, NLP, and cloud data platforms
Mid-level Data Analyst specializing in operations and healthcare analytics
Mid-level Data Scientist specializing in MLOps, real-time ML, and generative AI (RAG/LLMs)
Mid-level Data Engineer specializing in cloud data platforms and ETL/ELT
Mid-level Data Scientist specializing in GenAI/LLMs and MLOps for healthcare analytics