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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.
An AI/ML Engineer at Nexstar Media Group designs, builds, and deploys machine learning and agentic AI systems for real-world products, working across the full ML lifecycle from data preparation to model monitoring and iteration.
Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI)…
Principal Data Scientist builds and deploys ML models to drive credit decisions and financial progress for customers, using PyData tools and production-grade pipelines.
Senior Data Scientist builds and deploys machine learning models to make lending decisions for a fintech company, using Python and PyData tools.
Kroll is hiring a Data Science Manager to lead and grow our data science function within the Enterprise Data Group. This role sits at the intersection of technical leadership and strategic delivery — you will shape how…
Senior Data Scientist designs and deploys ML models (traditional, deep learning, NLP, LLM/GenAI) on Azure/Databricks to solve fintech risk and compliance challenges.
Builds and deploys ML models (traditional, NLP, GenAI) for fintech/government clients, focusing on data pipelines, feature engineering, and model monitoring in Databricks/Azure.
Analyzes global gas/LNG markets by collecting, modeling, and forecasting supply/demand/pricing data; writes reports and supports client-facing research for energy firms, financial institutions, and governments.
Builds and maintains scalable data pipelines for audio datasets to support AI/ML research in immersive sound processing, including speech, style transfer, and source separation for global media production.
Lead AI engineering for a global pest control/environmental services company, designing and scaling production-grade genAI, multi-agent workflows, and automation systems. Focus on cloud-native LLMOps, platform architecture, and mentoring teams to deploy AI solutions across business functions.
A senior Data Scientist who builds and deploys AI-driven simulation models for engineering/manufacturing industries, bridging technical teams and customers to deliver production-ready predictive tools.
Develops fraud detection models and analytics to identify transactional anomalies, analyze fraud patterns, and deploy mitigation strategies for a fintech company’s debit/banking payments. Uses Python/R, Spark, SQL, and cloud platforms to build predictive models and dashboards for risk management.
Build and deploy ML models and generative AI features to automate and enhance Zendesk’s customer-service platform, collaborating with scientists, engineers, and product teams.
Build and deploy predictive/prescriptive analytics models to drive healthcare decisions, using Python, SQL, and ML in a production environment.
The Python Developer will build and maintain features for an internal application using Python, Streamlit, and Pandas. The role involves working with SQL databases, resolving defects, and participating in Agile development cycles.
The Senior AI Engineer will design, develop, and deploy AI and machine learning solutions, including LLMs and RAG applications, for global clients. The role requires strong Python skills and experience managing the full ML lifecycle within a consulting environment.
Senior Associate in PwC's Data & Analytics team in Windhoek, focused on IT audit and assurance — designing analytical solutions, building data visualizations, and supporting internal/external audit engagements using SQL, Python, and BI tools.
The Lead Big Data Engineer will design and maintain scalable risk analytics platforms and data pipelines using Python, Java, Spark, and cloud technologies. This VP-level role involves technical leadership, cross-functional collaboration with quants and risk managers, and ensuring the reliability of systems supporting regulatory reporting and risk measures.
This role involves designing and building data pipelines, APIs, and backend services using Python and AWS to support data-driven products and machine learning models. The engineer will work with complex datasets and manage cloud infrastructure to deliver actionable insights.
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