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The ideal candidate will have experience in product operations and/or product management, with a technical background in data analytics, data science, engineering, or adjacent areas of expertise.
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Expertise in der Datenmodellierung, -verarbeitung und -transformation, insbesondere im Kontext Data Lake, Data Science und GenAI-Plattformen. Als Senior Data Engineer (m/w/d) konzipieren, entwickeln und implementieren Sie eigenständig Datenpipelines für unsere GenAI-Plattformen.
ExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Proven experience as a Data Scientist with a track record of developing and deploying predictive ML models. Our client is looking for a Staff Data Scientist to join their team. Data Analysis: Conduct in-depth data analysis to identify trends, patterns, and insights that inform model development and optimization.
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We are building the industry’s most advanced data science capability. · A master’s degree or Ph. D. from a statistics, mathematics, computer science, computational social science or operations research program.
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The MEGDP serves many use cases including regulatory reporting, analytics, and data science. Our team is building a strategic Azure cloud calculation and data platform, MEGDP (Multi-Tenant Enterprise Governed Data Platform), for Group Finance and Risk to replace existing legacy systems.
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Strong engineering background, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics, or Data Science. Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline (Master’s degree preferred.
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Degree in an analytical field such as Data Science, Machine Learning, Analytics, Statistics, Computer Science, or highly quantitative engineering Previous experience as a data engineer or in a similar role 5+ years of Python development experience is necessary.
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Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data.
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Requires a Bachelor's degree in Computer Science, Data Science, Business Analytics, or related field; plus 3 years of Data Engineer, Data Analyst or related experience.
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The Senior Data Science Engineer, Customer Profile will be responsible for owning and developing the in-house customer profile, powering real-time messaging, personalization, and marketing efforts for ViX, the largest Spanish-language streaming platform in the world.
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4+ years experience working as a Software Engineer on data-intensive platforms. A sophisticated technology-driven quant trading firm which maintains a discrete online presence is looking to bring on an individual with capacity to tackle a number of data caching, ingestion and processing problems that are arising in their current Quant Research ecosystem.
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The position requires a minimum of a Bachelor's degree in Computer Science, Information Technology, or a related field, and 5 years' experience in the job offered or any related occupation, to include, 5 years' experience in a data engineering role; and 5 years' experience working with cloud-based PaaS platforms, including Azure; and 5 years' experience utilizing RDMS tools and languages.
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You haveBachelor’s or Master’s degree in Computer Science, Information Systems, or a related field, with a preference for additional certifications in data management. Mentor and guide data engineering teams in the adoption and integration of observability practices.
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Working alongside some of the most challenging and cutting-edge Data Science problem. Manage the entire data flow, from acquisition to transformation into actionable insights using SQL and Python/Java.
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This is a Senior Software Engineer on the their Core Data Platform, which is used by data analysts, data scientists, and quantitative researchers for ingestion and access of investment datasets.
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data science jobs Title: data engineer in New York, NY
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