Top Data Science Jobs
The Market Data Specialist will maintain and improve market data feed infrastructure, investigate live issues, coordinate with exchanges, and enhance debugging and monitoring systems used by Jane Street's software engineering team.
The Credit Analyst will support Accounts Receivable, conduct collection calls, manage confidentiality, and use problem-solving skills to assess customer payments and risks. Responsibilities include maintaining credit accounts and analyzing financial information.
As a Lead Data Scientist, you will develop statistical methods for data products, mentor other data scientists, and collaborate with engineers to scale solutions. You will also work on building experimentation tools and enhancing user-facing features while ensuring high standards in statistical practices.
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The AI Research Scientist will lead research projects leveraging machine learning for quantitative analysis in finance. Responsibilities include identifying pertinent problems, collaborating with trading teams, and enhancing model design and infrastructure. The role requires a combination of ML expertise, engineering, and an understanding of market dynamics.
The Principal Data Scientist will lead and mentor the Data Science team, focusing on data analysis to uncover insights, enhance customer experiences, and optimize business strategies. Responsibilities include developing models, conducting statistical analyses, and collaborating closely with technical teams to drive project success and innovation in data utilization.
As a Senior Revenue Analyst at Postman, you will analyze large datasets to identify trends, develop forecasting models, create dashboards, ensure data quality, and collaborate with cross-functional teams to enhance product improvements. You'll also provide mentorship to junior analysts and contribute to a data-driven culture.
As a Senior Data Scientist, you'll drive the technical roadmap for risk monitoring, develop prediction models, analyze data, and collaborate across teams to deliver data-driven insights. You will also manage and mentor team members while ensuring high-performance models through excellent data science practices.
The Expert Data Scientist/Imagery Analyst will support Intelligence customers by leveraging extensive experience in Geospatial Information Systems, analyzing imagery, and producing detailed intelligence reports. Responsibilities include tasking and processing imagery data, collaborating with various organizations, and conducting multi-GEOINT research to support national defense and security missions.
Looking for a Senior Data Scientist to join the Market Data Team at Pave. Responsibilities include building new data products, leveraging data to improve existing products, collaborating with Product Managers, Design, and Software Engineering teams.
As a Senior/Staff ML Research Scientist at Nuro, you will research and develop advanced machine learning techniques to enhance scene retrieval and search capabilities for autonomous driving systems. In this role, you'll create ML data pipelines, collaborate with infrastructure teams, and implement innovative solutions while maintaining a focus on practical applications for real-world impact.
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