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As a Principal Data Scientist, you will lead the Recommendation & Personalization team in creating AI/ML solutions for Capital One's platforms. Responsibilities include collaborating with cross-functional teams, building machine learning models, and translating complex data insights into business strategies.
The Applied Researcher I at Capital One will collaborate with cross-functional teams to develop AI-powered products. Responsibilities include utilizing a variety of technologies to analyze large data sets, building AI models through their entire lifecycle, and conducting impactful applied research to enhance customer experiences.
As an Applied Researcher II, you will work with a cross-functional team to deliver AI-powered products, build AI foundation models, conduct impactful applied research, and translate complex ideas into business goals.
As a Data Scientist at Magnite, you will engage in developing machine learning solutions, analyze complex datasets, and collaborate with engineers to scale models. Responsibilities include statistical modeling, pattern analysis, and ensuring effective implementation of data strategies.
The Data Scientist will analyze and interpret complex supply chain data, develop predictive models, and collaborate with teams to optimize supply chains and drive business growth. Responsibilities include processing large datasets, applying statistical models and machine learning algorithms, and communicating data insights to stakeholders.
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As a Senior Programmer/Analyst, you will design and develop software solutions for enterprise systems, supporting reporting and analytics for subsurface well and geological data. You will work within Agile teams, provide expertise for project estimates and proposals, reverse engineer legacy systems using Excel VBA, and conduct database analysis and support.
The Principal Data Scientist I will lead the analysis and insights delivery on service quality issues for Internet and Video products at Charter. This role involves utilizing advanced analytics, including Causal AI, to identify network problems and inform stakeholders. Responsibilities include managing the analytics lifecycle, vendor tool assessments, and coaching junior team members.
The Lead Data Scientist will design, develop, and deploy machine learning models to solve complex fintech challenges. Responsibilities include analyzing datasets, building predictive models, optimizing performance, maintaining machine learning pipelines, and collaborating with engineering teams to integrate models into production. The role requires strong statistical analysis skills and extensive experience in data science.
The Packaging and Integration Scientist will develop and characterize semiconductor manufacturing processes for high-speed mixed signal electronics. Responsibilities include assisting in chip-level integration, conducting influential analyses, and developing relationships with vendors. The candidate will also present research findings and work collaboratively with technical teams.
The Computational RF Scientist will design, analyze, and validate broadband assemblies for quantum-dot-based spin qubit systems, focusing on signal integrity and electromagnetic effects. The role includes developing new simulation methods and collaborating with experts in various engineering and physics fields.
The Qubit Characterization Scientist will conduct cryogenic measurements on semiconductor spin qubit devices, develop new measurement techniques, and analyze results. The role requires collaboration with a multi-disciplinary team to improve device performance and report findings through technical presentations and publications.
As a Senior Revenue Systems Analyst at Klaviyo, you will manage subscription billing, revenue recognition processes using NetSuite, and support subscription lifecycle events. You will collaborate with sales and billing teams on complex scenarios, automate processes, generate revenue reports, and ensure compliance with audits.
The Senior Data Scientist will analyze large datasets to provide insights for the product team, design and evaluate A/B experiments, collaborate with engineers for data logging, and create data visualizations while effectively communicating findings to stakeholders.
As a Data Scientist II at Grubhub, you will develop and enhance predictive machine learning models for delivery estimation and driver pay, collaborate with cross-functional teams, innovate using advanced tools like AWS and XGBoost, and contribute to MLOps excellence to improve operational metrics.
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