Põhiline
Senior Data Scientist
Postitatud: 21.05.2026
Sulgemiskuupäev: 05.07.2026
Tööviide: 88c234f7b6901672cb2b08ac114d9dcc
Tööinfo
Asukoht
españa, Spain
Ettevõte
JR Spain
Klient / Tööandja
Vonage
Tööviide
88c234f7b6901672cb2b08ac114d9dcc
Kuulutuse tüüp
Põhiline
EL-i tööluba nõutav
Ei
Postitatud
21.05.2026
Sulgemiskuupäev
05.07.2026
Tööülesannete kirjeldus
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 &
Oskused
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