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Entry-level Data Scientist supporting government client analytics projects, applying data exploration, analysis, and visualization skills while learning AI/ML and cloud-based analytics methods on structured and unstructured data.
Sr Staff Data Scientist on TurboTax's Consumer Assisted Tax team, building analytical frameworks and measurement strategies for emerging growth capabilities using SQL, Python/R, data visualization tools, and AI-assisted development.
Develop and maintain scientific computing platforms and shared analytical environments for data analysis and modeling at a biotech company. Core technologies include Python, R, Docker, Kubernetes, SQL, and AWS.
Senior Associate Data Scientist developing and deploying ML/forecasting models to support business decision-making at Amgen's Hyderabad office, using Python, SQL, and MLOps practices across the full model lifecycle.
This role involves developing and operationalizing generative AI and machine learning models to process unstructured data for financial services. The data scientist will collaborate with cross-functional teams to build scalable AI solutions using tools like PyTorch, LangGraph, and AWS to improve customer experiences.
The Data Scientist will build and implement machine learning models for credit underwriting and business card strategies using Python, AWS, and Spark. They will collaborate with cross-functional teams to analyze large datasets and translate complex findings into business solutions.
This is a 4-month winter internship at RBC for students to work on data science, analytics, and automation projects within the Enterprise Control Testing team. Interns will use Python, SQL, and statistical methods to optimize business processes and communicate data-driven insights.
The Senior Specialist, Data Science will design and maintain automated ELT pipelines using dbt Core and GCP, while managing infrastructure via Terraform and supporting MLOps initiatives. The role focuses on building scalable data architectures, optimizing BigQuery performance, and integrating enterprise data sources.
The Data Scientist/Actuarial Analyst will develop and maintain financial models, perform statistical analysis, and create Power BI dashboards to support strategic decision-making in the iGaming sector. The role requires strong actuarial expertise, proficiency in Excel, SQL, and Python, and progress toward actuarial qualifications.
The Data Scientist III will develop and operationalize network-based threat detection models to identify financial crimes at TD Bank. The role involves using SQL, Python, and machine learning to analyze data, build visualization tools, and provide strategic insights to mitigate risk.
Designs ML models and analyzes data to uncover trends, then presents insights to guide business decisions using Python/R and visualization tools.
This is a Spring 2027 Data Science Co-Op role at Johnson & Johnson, where students will analyze surgical data, contribute to R&D product conceptualization, and develop software for data analysis. The position involves working with hardware and data engineering teams to support surgical technology innovation using Python and data science tools.
The Data Scientist will lead AI and machine learning workstreams to support Sales, Brand, and Dealer operations at General Motors. The role involves developing scalable analytical solutions using Python, SQL, and cloud-based platforms like Databricks.
Data Scientist performing exploratory data analysis, feature engineering, and predictive modeling on large datasets to deliver actionable insights, using Python, SQL, and machine learning models in cloud environments like AWS/Azure/GCP.
The Senior Analyst will join the Investment Risk and Data Science team to monitor portfolio performance and risk while building scalable analytical tools using Python, R, and SQL. This role bridges investment research and technical development to improve decision-making processes and strengthen the firm's data infrastructure.
The Data Scientist will support national security missions by analyzing structured and unstructured data, developing analytical tools, and implementing data strategies using Python, cloud environments, and machine learning. This is a one-year contract role requiring an active TS/SCI clearance.
Builds and deploys ML models to improve underwriting profitability, automation, and efficiency for a Lloyd’s Syndicate, owning full lifecycle from problem framing to production, with Azure/MLOps focus.
The Dairy Data Scientist will analyze complex biological and operational dairy data to improve herd performance and farm decision-making. The role involves applying statistical modeling and programming (Python, R, SQL) to support research and develop analytical tools for the dairy industry.
Dairy Data Scientist applying statistics, predictive modeling, and programming (Python, R, SQL, Databricks) to analyze dairy production, herd health, and sensor data and turn it into actionable insights for dairy operations.
Develops and deploys AI/Gen AI solutions for corporate functions, focusing on agentic architectures, prompt engineering, and model integration while ensuring Responsible AI compliance and data governance.
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