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Build and deploy production-grade ML models for retail, pricing, and operations analytics using Python, SQL, and Azure ML.
Build predictive models and BI dashboards to forecast sales performance and KPIs, partnering with Sales, Finance, and IT to replace manual spreadsheets with scalable analytics.
Build and improve demand-forecasting models using Python and SQL, collaborating with engineers and business teams to deploy multivariate algorithms and enhance supply-chain decisions.
Leads data-science efforts to build and maintain demand-planning models, clean and analyze supply-chain data, and deliver weekly forecasts and dashboards for an automotive OEM.
Lead data engineering and analytics for fraud risk at a major African bank, building scalable platforms, ML models, and real-time detection systems to prevent financial crime.
Who is ERM? ERM is a leading global sustainability consulting firm, committed for nearly 50 years to helping organizations navigate complex environmental, social, and governance (ESG) challenges. We bring together a…
Leads data science initiatives to build predictive models for demand planning, ensuring accurate forecasting and operational efficiency in supply chain logistics for an automotive-focused company.
Job Title: Manager, Marketing Operations & Technology Location: Washington, D.C. (Hybrid, after 60 days In-person) Status: Full-time; Exempt Reports to: VP of International Marketing Typical Work Hours: 8:30 a.m.…
Build and secure AI/ML systems for national defense, including LLM apps, predictive models, and adversarial defenses, using Python, TensorFlow/PyTorch, and edge deployment tooling.
Lead the design of AI and data solutions for commercial digital marketing at a biopharma company, defining architectures for predictive analytics and AI-driven insights on AWS and Databricks.
Build and deploy AI/ML models and analytics for defense health programs, using Python, SQL, and cloud services to deliver predictive insights and decision-support tools.
Build predictive models and data pipelines to extract insights from large banking datasets, using Python, SQL, and ML techniques to drive decisions in risk, customer, and commercial domains.
Lead the design of AI and data solutions for digital marketing at a biopharma company, defining architectures for predictive analytics and AI-driven insights on AWS and Databricks.
Manager, Marketing AI Solutions Nashville Hybrid or Remote US About the Role As Manager, Marketing AI Solutions , you will build AI capabilities that expand Marketing’s reach and become part of how we do our jobs every…
Analyzes customer billing and payment data to reduce bad debt and improve collections using SQL, SAP, and Power BI dashboards.
Designs and optimizes motion-control systems (motors, actuators, drives) and applies AI/data-driven methods to improve performance, reliability, and engineering decision-making for HP’s hardware products.
Build and own end-to-end AI products from problem framing to production deployment, focusing on GenAI, RAG, agents, and MLOps for Amgen’s healthcare domain.
Build advanced statistical and ML models to forecast drug demand and guide Amgen’s supply and commercial planning using Python, Bayesian methods, and time-series tools.
Build, deploy, and monitor ML models and MLOps pipelines on AWS for forecasting and GenAI apps in a biotech setting.
Build and deploy ML models for UK government programmes, collaborating with engineers and stakeholders to turn data into actionable insights using Python and cloud tools.
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