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Lead the design, development, and deployment of ML models to automate healthcare operations, ensuring measurable impact on workflow efficiency and patient care.
Build and maintain scalable data pipelines and analytics solutions for RTX’s enterprise services, integrating diverse data sources and supporting AI/ML initiatives with Python, SQL, and PySpark.
Build production-grade ML systems that detect retail crime patterns using computer vision, NLP, and graph analytics, deploying models on a cloud-native stack to power real-time alerts for global retailers.
Build and deploy AI/ML models to modernize British Army training, integrating them into secure systems and automating workflows with Python, ML frameworks, and MLOps tooling.
Leads advanced analytics and ML modeling to optimize eCommerce, loyalty, and marketing strategies for a grocery retailer.
About Albertsons Companies Inc.: As a leading food and drug retailer in the United States, Albertsons Companies, Inc. operates over 2,200 stores across 35 states and the District of Columbia. Our well-known banners…
Design and build scalable data pipelines, warehouses, and models in Snowflake and PostgreSQL to power analytics and AI features for a global retail brand.
Build and maintain scalable MLOps pipelines on GCP and Vertex AI, automating model deployment, monitoring, and retraining for enterprise AI solutions.
Builds and deploys ML models (regression, clustering, classification) on large datasets using Azure Databricks and PySpark to generate business insights and product features for Zebra’s smart solutions.
Senior Data Scientist builds and optimizes scalable ETL pipelines with PySpark and Databricks, designs ML models for retail demand forecasting, and collaborates with stakeholders to deploy production-grade forecasting systems.
Build and maintain AI-native data pipelines that integrate manufacturing and development systems (MES, LIMS, QMS, ERP) to power analytics and AI models for biologic drug development at AbbVie.
The group you’ll be a part of In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. We drive innovation to ensure our cutting-edge…
Build and deploy ML models, data pipelines, and dashboards to drive R&D insights using Python, SQL, and cloud tools like AWS/Azure.
Principal Data Scientist to lead Python-centric data engineering and GenAI projects, designing scalable pipelines and ML models for DTCC’s financial markets infrastructure.
Principal Data Scientist at DTCC designs and deploys production-grade AI/GenAI and ML solutions in Python and Snowflake, leading data pipelines and model development for financial markets.
Builds AI-powered prototypes in 4-week cycles to solve pharma supply-chain and manufacturing problems, then hands them off for production. Uses Python, ML, LLMs, and low-code tools to deliver data-driven solutions.
Build and maintain data models and AI-driven analytics for mortgage lending, using cloud platforms and MLOps to deliver predictive insights and generative-AI solutions.
Lead AI Engineer builds and deploys ML models and Gen-AI agentic apps in Python using TensorFlow/PyTorch, integrating them into production systems for Westpac’s banking products.
Build production-grade AI/ML systems that turn complex dairy-farm data into actionable insights using AWS, Databricks, and modern AI frameworks.
Designs and validates machine learning models for laboratory data analysis, focusing on chromatography, mass spectrometry, and scientific workflows.
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