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Build and maintain AI-driven trading models and data pipelines for a quantitative hedge fund, translating research into production systems.
Lead a team of data scientists building production ML models for last-mile logistics, including route optimization, forecasting, and delivery success prediction using Python and cloud tools.
Senior QA Engineer validating and improving Ignition SCADA software through manual and automated testing, mentoring junior engineers, and diagnosing complex application issues.
Lead a global team of data scientists in oncology, applying AI/ML and computational biology to low-molecular-weight drug development and driving predictive insights for novel therapeutics.
Build and scale ML infrastructure for brain-computer interface R&D, including distributed training pipelines and large-scale data platforms to support neuroscientific modeling and neural decoding.
Senior Staff Data Scientist builds AI-driven labor forecasting and optimization systems using time series models, LLMs, and agentic workflows to dynamically schedule staff across 2,200+ stores.
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…
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.
Lead a team of data scientists to build ML models and real-time analytics for IoT and supply-chain solutions, using Databricks and forecasting techniques to optimize Zebra’s products and customer outcomes.
Lead the development of ML algorithms that turn optical interference signals into clinically meaningful brain-monitoring metrics, setting technical standards and guiding the data-science team at a medtech startup.
Build and deploy ML models, data pipelines, and dashboards to drive R&D insights using Python, SQL, and cloud tools like AWS/Azure.
Principal Engineer designs scalable cloud-native and edge industrial software using microservices, .NET, and Azure/AWS, while leading architecture, DevOps, and cybersecurity for ABB’s automation platforms.
Designs and validates machine learning models for laboratory data analysis, focusing on chromatography, mass spectrometry, and scientific workflows.
Build and deploy machine-learning models and statistical analyses in Python to extract insights from healthcare data, improving patient outcomes and business decisions.
Analyzes Japan’s electricity markets, building forecasting models for JEPX spot/forward prices and tracking fuel, policy, and grid factors that drive power costs.
Build AI/ML models and data pipelines to accelerate drug discovery and early development, transforming biological data into insights that guide safer medicine decisions.
Leads AI and data-science projects for clients, building GenAI/Agentic AI and analytics solutions with Python, cloud platforms, and modern ML techniques.
Analyzes interest rate, liquidity, and balance-sheet risks using financial models and time-series data to support risk management and regulatory reporting.
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