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Designs and implements fraud-detection models using SQL, Python, and R to analyze banking transaction data and recommend actions that reduce financial losses.
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: SAP TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible…
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: No CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible…
The Data Scientist will design and implement predictive models and algorithms to drive business outcomes and optimize client opportunities. The role involves analyzing large datasets using tools like Python, R, and SQL to provide actionable insights for internal stakeholders and clients.
The Data Engineer will design, build, and optimize data pipelines and enterprise data models using Snowflake, Matillion, and Azure Data Factory. The role involves implementing master data management with EBX and ensuring data governance and quality across the organization.
The Business Information Security Officer (BISO) acts as a trusted advisor and cyber risk manager, embedding security practices into business units and translating technical risks for senior leadership. The role involves performing cyber risk assessments, overseeing control compliance, and managing incident response preparedness within a large financial services environment.
The Senior Data Management Analyst will support the Incentive Compensation Delivery team by analyzing operational data to optimize compensation programs. The role involves using Python, SQL, and BI tools to ensure data integrity and governance while providing strategic insights to stakeholders.
Data Analytics intern at BMO applying machine learning, AI, and big data technologies to mine and analyze structured/unstructured data, build predictive models, and deliver data-driven business insights in Toronto.
Lead a field sales team focused on selling commercial security systems, driving revenue growth, territory management, and customer retention. Day-to-day involves coaching representatives, analyzing performance data, and using CRM tools to execute corporate sales strategies.
Leads data risk management for Citi’s Markets team, ensuring compliance with Basel/FRTB standards while improving data quality, governance, and controls across trading processes (Fixed Income, Equities, Derivatives, FX).
Build and optimize data pipelines in Snowflake and Matillion to feed analytics and reporting for a healthcare insurer, ensuring governance and performance.
Research Data Scientist builds and deploys ML models for biomedical data, writes clean R/Python/SQL code, and publishes findings in peer-reviewed venues.
Analyzes sensitive military operations using data science and operations research to produce actionable insights for senior leaders in irregular warfare and special ops.
It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Operations Analytical Manager will provide detailed…
City/State: New Rochelle, New York Grant Funded: No Department: MNR Pharmacy Work Shift: Day Work Days: MON-FRI Scheduled Hours: 8:30 PM-5 AM Scheduled Daily Hours: 7.5 HOURS Pay Range: $144,000.00-$180,000.00 Job…
Position Description & Responsibilities: This individual will have the unique opportunity to be a part of a large brand in the US market as a Health Information Technology Specialist. The primary focus of this role…
Design and deploy AI/ML models for customer behavior, churn, and value prediction in fintech, using Python/R/SQL and cloud platforms.
Builds and maintains data pipelines, databases, and analytical frameworks to extract, clean, and transform healthcare claims data, enabling policy and operational insights for state-level healthcare improvement initiatives.
This Senior Data Scientist role at PNC focuses on developing fraud detection algorithms and analytical models to optimize banking processes. The position requires expertise in Python, SQL, and statistical modeling to extract insights from complex financial datasets.
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