Top Data & Analytics Jobs
As an Analytics Engineer at Rec Room, you will support the data warehouse and analytics layer, develop ELT pipelines, design dashboards, and collaborate with various teams on data modeling and analysis, while ensuring data quality and scaling infrastructure.
As a Staff Software Engineer, you will develop scalable data storage and processing systems, mentor engineers, shape product strategy, and ensure high-quality engineering processes. Key responsibilities include architecting large-scale systems and optimizing data pipelines for efficiency and performance.
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As a Data Scientist at StackAdapt, you will innovate and improve machine learning algorithms to enhance advertising performance. You'll collaborate with engineers to write production code, prototype algorithms, and analyze data-driven insights. The role requires problem-solving abilities and a deep understanding of statistics and data science concepts.
Featured Jobs
As a Data Scientist at EverQuote, you will develop and deploy AI and machine learning models to solve business problems. You will work in a cross-functional team, utilizing statistics and machine learning, while mentoring teammates and communicating results to a variety of audiences. Your role is essential in driving business improvements through innovative data solutions.
Lead Data Engineer will design data models, develop data pipelines, and integrate Palantir Foundry with external systems. The role requires hands-on experience with data integration and application development, using tools like Python and SQL, while also providing guidance to developers and collaborating with stakeholders.
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The Data Engineer III is responsible for architecting, building, and maintaining scalable tooling and infrastructure for data management. Key tasks include constructing automated data pipelines, managing data storage, and performing data analysis and troubleshooting. Collaboration with Data Scientists and Business Analysts is essential to enhance data models for informed decision-making, alongside monitoring data quality and supporting data infrastructure needs.
The Senior Backend Engineer will lead the development of fraud detection solutions, focusing on backend software, traffic analysis, and the implementation of scalable systems. Responsibilities include working with data sets to identify fraud patterns and enhancing backend systems for real-time processing, collaborating with cross-functional teams.
The Associate Research Scientist will focus on developing innovative solutions for the roofing and waterproofing industry, involving market insights, product commercialization, and new technology identification while conducting experiments and material evaluations in the laboratory.
As a Senior Data Engineer, you will design and maintain data pipelines, manage ETL processes, and ensure data quality across systems. You will collaborate with various teams to understand data needs and provide technical guidance while staying updated with advancements in the field.
The Senior Scientist I at Mile High Labs will be responsible for leading R&D projects involving organic and medicinal chemistry, developing innovative methods for cannabinoid production, optimizing reaction conditions, scaling up production processes, and collaborating with academic and commercial partners.
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