Top Data & Analytics Jobs
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.
The Senior Data Scientist at CLA will construct complex solutions integrating data wrangling, visualization, and advanced modeling techniques. Responsibilities include data collection and analysis, developing models and algorithms, and automating business workflows, while also supporting clients and internal projects.
As a Registration Specialist, you will manage the administrative tasks associated with vehicle registrations, ensuring the transition of ownership from Carvana to customers is smooth. Responsibilities include document checking and completing registration processes, requiring strong problem-solving skills and attention to detail.
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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.
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.
The Data Architect will collaborate with teams to design and deploy data layer solutions, create an enterprise level data strategy, optimize data solutions, develop architectural guidance, and assess software designs. Responsibilities include managing data flows, developing custom solutions, and communicating technical proposals to stakeholders.
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