6 data intelligence jobs at 6 companies in Venice, FL
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Principle Data Engineer
St. Petersburg or United States
HybridFull Time
onPhase: AI-powered platform for accounts payable and payment automation.
10+ YOE10+ years in ML/R&D or data engineering; deep document intelligence expertise (OCR, parsing, extraction); strong data architecture and production ML deployment experience; proficiency in Python, PyTorch/TensorFlow, HuggingFace; cloud experience (AWS/GCP/Azure).
New York or Wisconsin or Georgia or New Jersey or Highland Park or Punta Gorda or Tennessee or Pennsylvania or Kentucky or Ohio or Indiana or Keswick
RemoteFull Time
M2S Group: Manufacturer of engineered coatings and specialty print media.
8+ YOE8+ years in software or data architecture with 4+ years focused on ML systems; deep cloud platform expertise; experience designing production ML pipelines, MLOps, model monitoring, and LLM/GenAI architectures.
Charlotte County: Local government providing essential public services and infrastructure.
2+ YOEAssociate's degree preferred, 2 years IT experience, knowledge of MS SQL, Power BI, SSRS, SSIS, T-SQL and data warehousing; strong analytical and communication skills.
MS SQL, PowerBI, Power Pivot, SQL Server Reporting Services (SSRS), SQL Server Integration Services (SSIS), T-SQL, Microsoft Excel, Power BI
Private Client Select: Provides bespoke insurance and risk management for high-net-worth individuals.
3+ YOE3–5 years BI/data analytics; strong Power BI with DAX; SQL (Oracle/SQL Server); advanced Excel; experience with Salesforce/Excel data; data validation; executive communication; eligible to work in the United States without visa sponsorship now or in the future.
Equity Research Associate - Banks (St. Petersburg)
Saint Petersburg, Florida, United States
OnsiteFull Time
Raymond JamesNew York Stock Exchange: RJF: Provides wealth management, investment banking, and retail banking services.
1+ YOEBachelor's degree, 13 months–3 years experience, SIE certification, strong data analysis and report writing, ability to use primary data sources and business intelligence tools.