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The Senior Data Science Engineer will develop and implement Agentic AI solutions and mathematical models to optimize supply chain and business operations. The role involves building autonomous systems using frameworks like LangGraph and integrating LLM APIs to deliver actionable insights and data-driven products.
Summer analyst in Blackstone's Data Science team applying Python, SQL, and statistical/ML methods to evaluate private equity and real estate deals, build analytical tools, and generate insights from varied datasets during a 10-week in-person program in New York.
This is a 4-month co-op/internship role at BMO where the analyst will use machine learning, deep learning, and AI to mine large datasets, build predictive models, and provide data-driven insights to support business decision-making and risk management.
A Data Scientist at Canadian Tire will analyze store labor and financial data to optimize payroll, forecast budgets, and drive operational efficiencies across 550+ retail locations. Core work includes forecasting, automation, and strategic reporting for store operations and finance teams using Python, SQL, and BI tools.
Data Scientist consulting to Federal clients, designing and building AI/ML models, ETL/ELT pipelines, and LLM-based solutions using Python, SQL, Databricks, and cloud platforms (Azure/AWS), while engaging directly with stakeholders.
Develops AI/ML models and advanced analytics for DoD mission support, ensuring secure deployment and compliance with federal standards while collaborating with cross-functional teams.
Builds and refines search and recommendation models to drive real-time automotive retail decisions using machine learning and large-scale data analysis.
Senior data scientist applying advanced analytics, statistical modeling, and machine learning to extract insights from large datasets, solving complex business problems for PwC clients in advisory, assurance, and consulting.
Data Scientist II at UW-Madison's School of Medicine and Public Health, designing data pipelines, dashboards, and geospatial visualizations using SQL, Python, Power BI, and GIS tools to support research and decision-making.
Designs, builds, and deploys enterprise-grade ML models and data science solutions to solve complex business problems using Python, SQL, and cloud platforms.
Build and deploy AI/ML models and analytics tools to optimize Caterpillar’s remanufacturing operations using Python, Snowflake, and Power BI.
Builds and deploys AI-driven demand and price response models for fuel/convenience retail pricing, designing experiments, mentoring teams, and ensuring production model quality.
Remote biomarker data scientist maintaining R-based analysis pipelines, managing data operations/QC, and supporting AI-assisted coding workflows for clinical trial biomarker data at a large CRO.
Data Scientist implementing end-to-end AI/ML projects (training, deploying, ETL, visualization) for a global paint and coatings manufacturer, working with domain experts and using Python, SQL, PyTorch, and TensorFlow.
Data Scientist applying machine learning, AI, and advanced analytics to generate business insights from diverse data sources at Roche Diagnostics in Indianapolis.
Data Scientist on Amgen Ohio's manufacturing data science team, building dashboards, scalable data pipelines, and ML solutions for manufacturing, supply chain, and IIoT use cases using Python, SQL, and Databricks.
The Lead Data Scientist will architect and develop autonomous AI agents capable of goal setting and decomposition for healthcare applications. The role involves designing planning systems, implementing evaluation frameworks, and ensuring agent reliability using technologies like Python, PyTorch, LangChain, and large-scale ML pipelines.
Data Scientist II building ML, NLP, and generative AI systems for clinical and scientific knowledge discovery and evidence extraction at Elsevier, using Python, LLMs, and standard ML/data science libraries.
Lead AI and data science strategy across ML, NLP, search, and generative AI to build advanced knowledge-discovery systems for Elsevier's healthcare education and scientific research products.
Hands-on delivery leadership role embedding AI, generative AI and LLM methods into supply chain analytics workflows at Applied Materials, using SQL, Python, Databricks and enterprise MLOps platforms to turn manual analyses into governed, automated tools.
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