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Data Scientist designing analytical models, algorithms, and big data processes using R, SAS, MATLAB, SQL, and Python/PHP to derive insights for semiconductor manufacturing and business teams at Applied Materials in Santa Clara.
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment…
Data Scientist designing methods to consolidate and analyze big data sources, building analytical models and algorithms using SQL, Python, R, SAS, and MATLAB at a semiconductor equipment leader in Bangalore.
Leads data engineering at Randstad, building scalable pipelines on GCP/AWS, coaching teams, and deploying ML models while ensuring security and compliance.
Senior Data Scientist at a chemical materials company applying statistical modeling, machine learning, and AI across production, R&D, SCM, and other business domains using Python/R, SQL, and ML frameworks like sklearn and TensorFlow.
This Senior Associate Data Scientist role at PwC focuses on developing advanced machine learning and statistical models to solve complex healthcare problems. The position involves leading technical projects, mentoring team members, and deploying scalable data science solutions to drive business strategy.
The Senior Specialist will develop and deliver data-driven insights for the Global Oncology Marketing team, utilizing Python, SQL, and Power BI to support pipeline and biomarker strategies. The role involves collaborating cross-functionally to translate complex oncology real-world data into actionable business recommendations.
Build predictive models and analytics to improve British Army training effectiveness using Python/R, SQL and ML, turning training data into actionable insights for senior leaders.
Build AI agents to help Chinese sellers grow globally on Amazon’s platforms by designing conversational tools powered by LLM-based intelligence, retrieval systems, and guardrails for accuracy and compliance.
This role involves identifying and mitigating emerging fraud risks in credit card and lending products using advanced data science, machine learning, and anomaly detection. The expert will bridge the gap between fraud strategy and technical implementation to proactively protect the organization from evolving threats.
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.
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