Jobs on the Engineering & Modelling team in New York


29 open jobs on the Engineering & Modelling team based in New York

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Showing 1-10 of 29 results for jobs on the Engineering & Modelling team based in New York:

Integrating the supply and demand sides of CRITEO Retail Media platform are the core responsibilities of the Retailer Integration team at Criteo. Software Engineer must be creative thinkers who can configure, customize, and deploy professional applications using the newest technologies to solve real business problems. We spend our time using and improving integration methodologies, adding new Publ...

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PRIMARY RESPONSIBILITIESCollaborate with product and customer teams in the design and development of a customer-facing portalWork hands-on to develop a scalable and highly responsive web applicationIntegrate dashboards and reports from other tools and librariesBuild modular, reusable code, libraries, templates and layouts for future useScope effort, assess risk and communicate clearly with the sta...

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Develop and scale a containerized SaaS platform that is responsible for ingesting, processing, and activation of Publisher dataSupport the architecture and design of ArcSpan’s core technology and softwareDevelop open-source applications that can be deployed easily on different cloud providersIndependently perform analysis, architecture, and design activitiesAnalyze software with a goal of proact...

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Front-End Developer needed for DoubleVerify, Inc. located in New York, NY. Will develop client-side visualizations for UI driven products using Angular framework in New York City, NY. Will create client components using Material, CSS and SCSS. Will develop client-side code in Javascript, Typescript, and NodeJs to integrate the client visualization with the business logic. Will design, develop and ...

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We are seeking a Data Scientist to join our team!The Data Scientist will develop a suite of data products for the ArcSpan Audience Engine product platform. The position involves working with the product team to build audience extension models, predictive monetization models and optimization algorithms that would in turn enable ArcSpan clients to better optimize their revenue. The position will rep...

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At Criteo, our culture is as unique as it is diverse. With offices around the world, our incredible team of 2,600 Criteos collaborates to create an open & inclusive environment. We work together to achieve our goals, push boundaries, and be impactful. All of this supports us in our mission to power the world’s marketers with trusted & impactful advertising.A member of the Scalability Analytics t...

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As a member of the Audience team, you will work closely with data engineers, analysts and product owners to build and maintain large scale data processing systems that powers the core infrastructure of NextRoll’s online advertising systems using big data technologies like Spark, Hadoop, and Storm.You’ll work in a small team but have the options to play with the latest tech, learn new skills, s...

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A Data Analyst on the Retailer Analytics team is a key player in understanding every aspect of Criteo’s complex Retail Media business. This role interfaces across the organization to answer challenging analytical questions related to the performance and growth of Criteo’s Retail Media solutions. The person occupying this position will have an exceptionally broad view of every aspect of Criteo...

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The Data Operations team is responsible for surfacing useful insights from the terabytes of data we amass every day. We value ethics, experimentation, efficiency, and intellectual curiosity. We are looking for someone who will complement the team to innovate without regard to conventions, accelerate us through new tooling, and deliver quality data intelligence to our internal and external partners...

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The Detection team at HUMAN is the beating heart of our company - finding and stopping bots. We build the algorithms that run behind the scenes analysing and decisioning on our vast number of daily events. We deploy advanced statistical and machine learning models that need to be flexible for different deployment scenarios and robust to a fraudster’s favourite tactics: evasion and deception.The ...

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