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Consultant builds and presents data models for clients in finance, retail, and other sectors using Python, SQL, and ML techniques.
Build and deploy data science models for government and defense clients, ensuring compliance with security clearance requirements.
Build and deploy ML models and predictive analytics for a government IT call center, analyzing support data to improve service efficiency.
Builds and deploys predictive models and analytics to support financial data products and services at a global market-intelligence provider.
A hands-on Data Scientist at DataVisor designs and optimizes machine learning models for an AI-powered fraud and anti-money laundering (AML) platform, working on pre-built detection strategies, cold start logic, and collaborating with cross-functional teams to build scalable defenses.
Train professionals in data science, machine learning, and AI tools like Python, PowerBI, and Tableau, with a focus on generative AI and LLMs.
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a…
Research Scientist at NTU’s Alibaba-NTU Global e-Sustainability CorpLab, developing AI-driven sustainability metrics and vector-search systems to quantify ESG performance and reduce carbon footprints.
Build and deploy ML/computer-vision models in Python to analyze manufacturing data, clean and model signals, and collaborate with R&D to improve production quality and efficiency.
Intern analyzes behavioral data to uncover trends and support security culture improvements at a semiconductor tech company, using analytics and visualization tools.
Intern in Intel’s Vietnam module engineering team, building AI/ML models, robotics, or mechatronics systems to optimize semiconductor assembly and test processes.
Build and deploy LLM systems for banking, evaluating models with offline tests and A/B trials while fine-tuning with Python and vLLM.
Build and deploy production AI systems and LLM workflows for banking, including credit risk and compliance, using Python, vLLM, and fine-tuning techniques.
Build and deploy production-grade ML models for retail, pricing, and operations analytics using Python, SQL, and Azure ML.
Build and maintain AI/ML models for banking use cases like fraud detection and document understanding using Python, LLM frameworks, and cloud platforms.
Senior Data Scientist builds customer analytics, predictive models, and personalization solutions for marketing and CRM using SQL, Python, and ML to drive client growth.
Build and optimize AI/ML models for retail demand forecasting and supply-chain planning using Python/R, time-series methods, and optimization algorithms.
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.
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.
Build and deploy ML models (XGBoost, NLP, deep learning) in AWS to solve client problems, using PySpark, SQL, and MLOps pipelines.
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