Senior Product Data Scientist at Entrust

London, England, United Kingdom

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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

Key technologies and capabilities for this role

Data ScienceStatisticsCodingScriptingExperiment DesignSuccess MetricsBiometricsFacial SimilarityDeepfake DetectionAgile

Questions & Answers

Common questions about this position

What kind of team will I be working with in this role?

You will be working with the Biometrics team on projects involving facial products like Facial Similarity for photo and video, Known Faces, motion, and verification for live detection, including improving SDK experience and detecting deep fakes.

What are the key required skills for the Senior Product Data Scientist role?

The role requires extensive experience in end-to-end analytical delivery including requirement capture and stakeholder management, solid technical experience with analytical tools, statistics, data science techniques for building experiments and testing hypotheses, and demonstrable experience analyzing data from various angles like product and commercial performance.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this position?

This information is not specified in the job description.

What does Entrust's company culture look like?

Entrust fosters a flexible global workplace that empowers careers, promotes collaboration, and values curiosity, dedication, and innovation, with an Agile environment focused on constant learning and exchanging ideas.