Senior Product Data Scientist at Entrust

London, England, United Kingdom

Entrust Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Cybersecurity, BiometricsIndustries

Requirements

  • Extensive experience in end-to-end analytical delivery, i.e. requirement capture, stakeholder management, metric design as well as delivering complex analysis
  • Solid demonstrable technical experience using analytical tools, statistics, and data science techniques to build experiments, test hypotheses, and conduct analysis
  • Demonstrable experience in looking at data from a variety of angles (i.e. product/commercial performance, operations, finance, and user experience) using both technical skills and deep product/business understanding
  • Experience in mentoring and nurturing other members of the team
  • Strong technical experience with SQL and Python
  • Be a self-starter who takes the initiative in spotting opportunities and finding ways to solve business problems using data
  • Comfortable with engaging with all levels of stakeholders and explaining complex technical issues to non-technical audiences
  • Desirable
  • Experience in working with technology and product development teams
  • Good understanding of Agile methodologies
  • Experience with BI tools (i.e. Looker, Tableau etc.)
  • Experience in using big data & cloud technologies
  • SaaS and Product analytics background, understanding how to devise metrics and KPIs in a SaaS environment
  • Experience in Machine Learning, building data products using ML

Responsibilities

  • Technical hands-on delivery on measuring product performance through the product development cycle i.e. design experiments to test the hypothesis, define success metrics of features, and define the data points needed capturing to facilitate accurate measurement
  • Apply technical data skills (data science, statistics, coding/scripting) and expertise to produce strategic as well as tactical insights that will aid product strategy, discovery, and planning
  • Work in partnership with product managers, applied scientists and engineers to define, measure, and communicate product metrics
  • Act as a mentor for junior Product Data Scientists, providing guidance on their development, and supporting and reviewing delivery when needed
  • Ensure alignment in analytical delivery between Product, R&D, and Analytics Engineering Team
  • Be a thought leader in the use of data and analytics, help and educate a diverse group of data users to utilise Onfido’s tools and data assets

Skills

Data Science
Statistics
Coding
Scripting
Experiment Design
Success Metrics
Biometrics
Facial Similarity
Deepfake Detection
Agile

Entrust

IT security

About Entrust

N/AHeadquarters
N/AYear Founded
N/ACompany Stage

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