Top Data & Analytics Jobs
The Data Scientist - Bigdata Engineer role involves data conversion, report building, and data transformation processes using technologies such as Snowflake and SAS Viya. Responsibilities include collaborating in an agile team for system modernization efforts, developing reports for compliance, managing data quality, and utilizing advanced analytics for strategic decision-making.
Research Scientist position at KLA, a global leader in electronics for the semiconductor manufacturing ecosystem. Responsibilities include hands-on experience in semiconductor fabrication, device physics simulations, data analysis, vendor management, and technology roadmap development. Doctorate degree and 3 years of related work experience required.
Join a leading fintech company that is democratizing finance for all. As a Machine Learning Engineer focusing on Fraud and Risk at Robinhood, you will collaborate with cross-functional teams to detect and reduce risks through the design and implementation of machine learning systems.
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As an Analytics Engineer at Loop, you'll model raw data into clean datasets for analytics, collaborate with data teams, and support data projects, ultimately helping merchants with insights and solutions. Your role will dynamically evolve as the company grows.
As a Senior Data Scientist, you will analyze large datasets, design analysis pipelines, and collaborate with engineers to convert clinical needs into technical solutions. You will lead the development of machine learning models and present findings to various stakeholders, contributing to the delivery of impactful digital health solutions.
The Database Engineer will design, implement, and manage scalable database systems, develop ETL pipelines for data flow, utilize cloud services for database management, optimize query performance, and ensure data security and compliance.
As a Data Engineer, you'll design and develop large-scale data pipelines, enhance processes, integrate data sources, and write maintainable code to support various teams in the organization. You'll optimize data architectures and support ongoing projects through effective data delivery.
As a Data Scientist II, you will develop methods to consolidate and analyze large datasets to generate insights for management. You'll design statistical models, advise on emerging trends, and collaborate with teams to implement strategies effectively.
As a Data Engineer III at Cars Commerce, you will build scalable data platforms and tools, design and maintain complex data applications, develop and support production data pipelines, and collaborate closely with various engineering and cross-functional teams while mentoring junior team members.
The Principal Applied Scientist will lead the research and development of recommendation algorithms, focusing on model optimization and system scalability. They will mentor ML engineers, influence AI strategy, and collaborate with teams to enhance product innovation and customer experiences at Wizard.
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