Top Data & Analytics Jobs
As a Senior Data Engineer, you will enhance data integration pipelines and maintain data quality within data lakes and warehouses. Collaborating with team members and stakeholders, you'll optimize data transformations and ensure the efficiency of systems. You'll also participate in code reviews and uphold coding standards while ensuring infrastructure security and data integrity.
As a Senior Machine Learning Engineer, you will manage the development and optimization of a high-revenue data product, collaborate with data scientists and engineers for efficient workflows, and improve the ML Ops platform infrastructure including data pipelines and CI/CD systems.
As a Senior Data Scientist at Grubhub, you will work with the Discovery and Ads teams to enhance restaurant recommendations and ads for users. Responsibilities include creating metrics for model performance, proposing new algorithms, designing A/B tests, and mentoring junior data scientists. You'll collaborate closely with engineering and product teams to innovate and improve user experience through data insights.
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As a Computer Vision and Machine Learning Engineer at Anduril Industries, you will develop and maintain core libraries and applications, integrate classical and geometric methods with ML, and work on benchmarks to analyze system performance, specifically focusing on robotic systems.
As a Senior Associate in Commercial Analytics & Strategy, you will analyze data to provide insights that develop and prioritize the company’s commercial strategy. Your role involves working with various teams to identify business opportunities, monitor trends, coach junior members, and guide decisions based on thorough analysis.
Seek a director to lead the development of Tempus’ multi-modal molecular data model. Responsibilities include implementing scientific strategies for data usage, designing data models, and managing cross-functional projects. The role bridges scientific research and engineering practices to enhance the healthcare sector with AI-driven insights.
The Go-to-Market Business Systems Analyst role involves gathering and documenting system requirements, designing technical solutions, and managing stakeholder communication for Go-to-Market systems. Applicants need a strong Salesforce background and experience in user acceptance testing, project leadership, and integrating GTM applications into business processes.
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The Analytics Engineer will enhance the data capabilities of analysts and stakeholders by architecting data models, building data pipelines, improving data governance, and providing training. Key responsibilities include monitoring data health, developing analytic frameworks, and standardizing data processes across various domains like growth and finance.
As a Machine Learning Engineer II at Remitly, you will develop models to assess risks in financial transactions, collaborating with engineers and data scientists to enhance fraud detection efforts. You'll build machine learning models and ensure they operate effectively within the company's infrastructure.
The Senior Revenue Operations Analyst will collaborate with business leaders to analyze revenue operations and provide insights, improving efficiency in sales processes and systems. Responsibilities include supporting pricing, administering Salesforce, managing sales systems like HubSpot, and identifying operational improvements.
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