Teams at Matrix Global Services

Develop machine learning and analytics solutions using large-scale datasets. Responsibilities include feature engineering, predictive modeling, workflow optimization, customer implementations, production deployments, stakeholder collaboration, technical training, and resolving data-related challenges. The role requires Python, PySpark, machine learning pipelines, MLflow or Airflow, statistical modeling, and strong communication skills, with preferred experience in fraud detection, risk analytics, compliance, cloud environments, and model monitoring.

Leads the development and execution of a global B2B marketing function focused on demand generation, pipeline growth, digital marketing, content, social media, partnerships, and brand awareness. Owns campaigns, ABM initiatives, marketing performance, budgets, reporting, and KPIs while collaborating with sales, product, customer success, and executives. This hands-on leader builds scalable programs, strategic alliances, and thought leadership initiatives that generate measurable revenue and market impact.

Deploys, customizes, integrates, and supports fraud risk scoring systems for financial institution clients. Responsibilities include software development, production deployment, troubleshooting, monitoring, system upgrades, Agile participation, and client-facing technical collaboration across cloud and on-premise environments.