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Data Scientist at Cogeco Connexion developing predictive modeling and machine learning solutions for business problems, working with Python, SQL, and cloud platforms to improve customer acquisition, retention, and business performance.
The Algorithm Expert will design and implement foundation models for financial behavior sequences to power risk-control systems for DiDi's global fintech business. The role involves building pre-training pipelines, multi-source sequence modeling, and deploying models for fraud detection and credit scoring.
The Facilities Analyst & Planning Lead manages facilities operations data, capital improvement planning, and infrastructure performance metrics for DOE properties. The role involves using CMMS, FIMS, and data analytics tools to support regulatory compliance, space utilization, and long-range capital investment strategies.
Overview Make an Impact with RealPage Looking for a role where your work directly influences business outcomes and customer success? At RealPage, you'll join a global SaaS technology company that is transforming…
Senior Data Analyst/Analytics Engineer owning commercial analytics dashboards and data models using SQL, dbt, Tableau/Looker/QuickSight, and Python on an AWS data lake stack at a global payments company.
Lead a team to improve reliability and automation for Truist’s hybrid cloud and on-prem platforms, driving observability, incident response, and SLO adoption while mentoring SREs.
Design and build security-focused software features, automate threat detection, and improve scalability and reliability for Cisco’s products.
Rabbit helps enterprises cut their GCP spend — and the difference between a customer who saves millions and one who churns is the engineer standing next to them during adoption. We’re hiring a Customer Engineer to be…
Own the product vision and roadmap for network automation and assurance, driving AI/ML-driven observability and remediation across Day 0–2 operations.
Own the product vision and roadmap for HPE’s network automation and assurance tools, shaping how enterprises automate and validate their networks using AI/ML and cloud-native tech.
Develops AI/ML-driven analytics and data pipelines to strengthen IAM controls, governance, and risk reduction in fintech. Focuses on access anomaly detection, entitlement mining, and control effectiveness using Python, R, SQL, Neo4j, and Tableau.
Designs and implements automated data quality frameworks for enterprise lakehouse platforms, ensuring data meets quality standards through validation, monitoring, and incident management.
The Senior Manager/Associate Director will lead enterprise data governance and architecture workstreams, managing teams to design data lineage, quality controls, and authoritative data source landscapes. This role acts as a bridge between engineering, architecture, and business stakeholders to implement data management policies and report progress to senior leadership.
Lead AML compliance projects, build data-driven detection models, and deliver dashboards for financial crime monitoring using Python, SQL, and BI tools.
Designs and enforces security controls for AI systems in banking, collaborating with engineering/data teams to embed security from the start. Focuses on threat detection, adversarial testing, and compliance with evolving AI/financial regulations.
Our Story At Alight, we believe a company’s success starts with its people. Alight embraces values that come directly from our people – purposeful, human, united and growth-minded – reflecting our inclusive culture and…
Lead data platform governance and operations across Snowflake and AWS—overseeing RBAC, SOX compliance, cost strategy, and a small team of engineers to enable governed, self-service data access at scale.
Insider Protection Analyst detecting, investigating, and responding to insider threats at an electric utility, using security analytics, user activity monitoring, SIEM/UEBA platforms, and data loss prevention tools.
Leads technical development of a DoD data platform for DISA’s DISN network, designing data lakes/lakehouses, pipelines, and AI-driven observability tools to enable predictive analytics, automation, and mission resilience.
Build and deploy ML models and GenAI tools to turn retail data into actionable insights for suppliers and merchants using Python, GCP, and MLOps.
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