Základní

Senior Data Scientist

españa, Spain Společnost: JR Spain Klient / Zaměstnavatel: Vonage
Zveřejněno: 21.05.2026
Datum uzavření: 05.07.2026
Pracovní reference: 88c234f7b6901672cb2b08ac114d9dcc

Informace o pracovních pozicích

Poloha
españa, Spain
Společnost
JR Spain
Klient / Zaměstnavatel
Vonage
Pracovní reference
88c234f7b6901672cb2b08ac114d9dcc
Typ záznamu
Základní
Vyžaduje se pracovní povolení EU
Ne
Zveřejněno
21.05.2026
Datum uzavření
05.07.2026

Popis práce

Join Vonage and help us innovate cloud communications for businesses worldwide! Senior Data Scientist — Verify V2 Data Products, Insights & Monetization Mission Build the quantitative foundation that proves and amplifies Verify v2's value—transforming verification telemetry into a reliable, customer-facing data infrastructure that demonstrates measurable ROI, optimizes channel economics, and lays the groundwork for an autonomous identity and verification platform. You'll own the end-to-end data pipeline from raw events to customer-visible metrics that answer the question every customer asks: \"What is this product actually worth to my business?\" What You'll Own 1. Customer Value Infrastructure (Prove ROI at Every Level) Build the metrics that quantify customer-specific business impact: Design and maintain a real-time Customer ROI Engine calculating cost-per-successful-verification, fraud savings, conversion lift, and time-to-value by customer, segment, and use case Create customer-facing Value Dashboards showing verification success rates vs. industry benchmarks, cost efficiency trends, and projected savings Develop attribution models connecting verification outcomes to downstream business metrics (account activations, transaction completion, fraud prevented) Establish pricing intelligence at the customer level: Build granular unit economics visibility: cost-to-serve, margin contribution, and channel mix efficiency per customer Model willingness-to-pay signals and usage patterns to inform tiered pricing and custom packaging Quantify the revenue impact of workflow configurations (Silent Auth-first vs. SMS fallback economics) 2. Channel Performance &

Dovednosti

apply blended learning apply for research funding apply research ethics and scientific integrity principles in research activities build recommender systems Business Analytics Business Intelligence collect ICT data communicate with a non-scientific audience Computational Biology Computer Simulation conduct research across disciplines create data models Data Engineering data ethics Data Mining Data Models data quality assessment Data Science data visualisation software define data quality criteria deliver visual presentation of data demonstrate disciplinary expertise design database in the cloud design database scheme develop data processing applications develop professional network with researchers and scientists Digital Curation disseminate results to the scientific community draft scientific or academic papers and technical documentation empirical analysis establish data processes evaluate research activities execute analytical mathematical calculations Hadoop handle data samples Healthcare Analytics image recognition implement data quality processes increase the impact of science on policy and society information categorisation Information Extraction integrate gender dimension in research integrate ICT data interact professionally in research and professional environments interpret current data LDAP LINQ make data-driven decisions manage data manage data collection systems manage findable accessible interoperable and reusable data manage ICT data architecture manage ICT data classification manage intellectual property rights manage open publications manage personal professional development manage research data Marketing Analytics mathematical modelling MDX mentor individuals multidisciplinary research N1QL normalise data online analytical processing operate open source software perform data cleansing perform data mining perform project management perform scientific research promote open innovation in research promote the participation of citizens in scientific and research activities promote the transfer of knowledge publish academic research quantitative analysis query languages report analysis results Research Design resource description framework query language Scientific Computing scientific literature Social Network Analysis SPARQL speak different languages State Estimation statistical modeling techniques Statistics synthesise information teach in academic or vocational contexts think abstractly Unstructured Data use data processing techniques use databases use spreadsheets software visual presentation techniques write scientific publications XQuery

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