Top Data & Analytics Jobs
The role involves conducting research in AI and autonomous systems, focusing on developing robust models and techniques using driving data. The candidate will collaborate with research scientists and engineers, contributing to high-quality publications and real-world applications of autonomy technology.
The Data Editor will lead efforts to create and integrate data for WSJ Pro products, enhance data journalism, oversee datasets, and collaborate with bureau chiefs. They will facilitate the development of usable data for financial professionals and engage in data visualization strategies.
As a Senior Data Scientist at Phantom, you'll empower teams with data-driven insights, develop metrics to measure product impact, and work collaboratively with various stakeholders to influence product decisions. Your role will focus on analyzing large data sets, experiment design, and supporting the growth of the crypto wallet product.
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As a Data Scientist at ShyftLabs, you will analyze datasets, develop simulations, and design experiments to provide actionable insights for improving a complex ML bidding system. Your role involves collaborating with stakeholders and utilizing statistical techniques to drive data-driven decisions.
As a Senior Manager in Data and Analytics, you will lead client projects by designing, developing, and implementing processes and tools to enhance data usage. Responsibilities include managing project scope and budgets, collaborating with stakeholders, translating analytics into insights, and overseeing project execution.
As a Data Scientist, you will build and train AI applications, collaborate with teams globally, develop learning algorithms, and visualize data insights. A strong background in statistical modeling and experience with machine learning tools is essential.
The Principal Data Engineer will lead the design and implementation of modern data processing platforms, develop scalable data solutions, and collaborate across teams to optimize data pipelines. They will mentor the data engineering team and create tools that drive innovation and operational excellence, focusing on the healthcare sector.
As a Machine Learning Engineer at Curai Health, you will develop and enhance AI systems for clinician and patient applications. This includes fine-tuning large language models, designing evaluations, performing data analysis, and collaborating with diverse teams to drive innovation in ML technologies.
As a Data Scientist at Airtable, you will partner with product teams to drive insights and identify business opportunities, manage experiments, build a data culture, and communicate findings through storytelling and visualizations.
As an Applied Cryptographer at Fabric, you will develop cryptographic systems focusing on Zero-Knowledge Proof protocols, enhance existing frameworks, provide technical advisory to clients, and keep up with advancements in cryptographic technologies.
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