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Build and deploy machine learning models to automate forecasting and scenario simulation for sales, finance, and commercial teams using Databricks, Azure ML Studio, and Python.
Postdoctoral fellow developing AI/ML models to analyze biological data for addiction research, focusing on gut microbiome-host interactions and opioid withdrawal behavior.
Build and apply AI/ML models in Python and Spark to analyze large government datasets, create visualizations, and advise cybersecurity policy for defense and homeland security clients.
Build and ship an agentic AI platform using LLMs, RAG, and multi-agent orchestration on Azure, while mentoring engineers and setting GenAI technical direction.
Leads end-to-end ML model development and data science solutions for global manufacturing/engineering, mentors teams, and consults on GenAI/agent tools to optimize productivity and project delivery.
Build and deploy machine-learning models on large-scale industrial manufacturing data using Python, Spark, and SQL to optimize semiconductor production processes.
Build and maintain the data and modeling layer for AI agents, including datasets, predictive models, and evaluation frameworks to power Rockwell’s agentic AI products.
Evaluate AI-generated data science outputs (analyses, models, dashboards) by designing rubrics and scoring results, ensuring high-quality reasoning in next-gen AI systems.
A data scientist at McKesson’s CoverMyMeds builds predictive models and dashboards to turn healthcare data into actionable insights for clients and internal teams.
Builds and evaluates conversational AI agents and generative AI solutions for experience intelligence, collaborating with ML engineers and AI scientists.
Senior Data Scientist at S&P Global designing and building GenAI-driven and ML-powered products for natural language understanding, data extraction, and information retrieval solutions. Core technologies include large language models, Python, MLOps, and NLP architectures.
Builds and refines AI and statistical models to solve business problems, focusing on scalability and measurable impact using Python, SQL, and cloud platforms like Snowflake and AWS.
Data Scientist analyzes semiconductor supply chains and operations, builds predictive models, and creates Power BI dashboards to drive cost savings and efficiency for a $6B global services business.
Entry-level data scientist in a two-year rotational program, building and validating predictive models for insurance risk analytics using Python/R and SQL.
Lead AI and data-science standards for a large retail/e-commerce platform, defining reusable ML patterns, MLOps lifecycles, and customer-data governance while enabling teams to scale personalization and experimentation.
Senior Data Scientist analyzes LATAM content performance, builds predictive models for viewership, and translates insights into strategic recommendations for Netflix’s content team.
Lead data-science teams to build forecasting and optimization models for supply-chain clients, using Python/R and cloud platforms to turn raw data into strategic insights.
Build and deploy AI/ML models in Python and cloud platforms to solve business problems, including predictive modeling, optimization, and generative AI solutions for Micron’s operations.
Build and deploy ML models to improve product recommendations, search ranking, and customer experience for an online furniture retailer using Python, SQL, and GCP tools.
Build and deploy predictive models and automated workflows to optimize FormFactor’s global semiconductor supply chain, integrating ERP and planning systems with Python, SQL, and BI tools.
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