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Oversee AI/ML governance at a major bank: set ethical standards, validate models, enforce MLOps controls, and ensure compliance with regulations across credit, fraud, and marketing systems.
Senior Data Scientist builds predictive models and LLM agents for automotive retail, using AWS lakehouse and Databricks to productionize multi-step AI agents with tool access and robust deployment practices.
Lead AI-driven predictive modeling and analytics to inform fintech growth strategies and data-driven decisions.
Build AI-driven compliance insights by analyzing datasets, maintaining dashboards, and documenting methodologies using SQL, Python, and AI tools.
Senior Data Scientist builds and deploys ML models across credit risk, fraud, and growth at a BNPL fintech, using Python, SQL, and AI tools to drive business decisions and scale lending to users without credit history.
Lead AI-driven forecasting and optimization projects, building and deploying generative AI models for sales, finance, and supply chain in a product company.
Design and deploy predictive analytics and AI models using SQL, Python/R, and cloud tools to drive business decisions in HR tech.
Build and own AI-driven credit risk and growth models for a fintech company, influencing business decisions with production-ready machine learning solutions.
Develop AI solutions and predictive models to drive business impact, deploying ML systems with Python or R.
Senior Data Scientist builds predictive models and analytics using Python, PySpark, and cloud tools to extract business insights and guide decisions.
Senior Data Scientist builds and deploys ML models to solve business problems, collaborating with engineers to productionize systems using Python, SQL, PySpark, and frameworks like TensorFlow/PyTorch.
Build predictive models and analytics solutions using first- and third-party data to drive business decisions, focusing on persistency and agency recruitment analytics.
Lead AI engineering efforts, designing and deploying ML systems, mentoring teams, and driving enterprise-level data strategy with Python, TensorFlow/PyTorch, and cloud platforms.
Lead end-to-end AI model development for CPG, including time-series forecasting, optimization, and generative AI, from data exploration to deployment.
Build and deploy AI/ML models to drive revenue growth and cost optimization across finance, insurance, and other sectors using Python and cloud-native tools.
Lead AI evaluation infrastructure for Dronedeploy’s Progress AI product suite, building automated pipelines and refining prompt lifecycles to ensure model accuracy.
Build and maintain AI evaluation infrastructure for LLM-driven features in Progress AI, focusing on prompt optimization, dataset quality, and model accuracy measurement.
Lead a data-science team building AI-driven ad-optimization tools in Python/React/TypeScript, managing ~$5B in ad spend and turning models into scalable products for global marketers.
Design, build, and deploy ML models to solve business problems, analyze large datasets, and collaborate with engineering/product teams to productionize solutions.
Designs and runs experiments to test product ideas, analyzes data to uncover trends, and guides teams on data-driven decisions using A/B testing and metrics.
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