Senior Data Scientist, Product Analytics

Onfido lets people prove their identity anytime, anywhere. We’re creating a more open digital world by connecting them to the services they love and need simply, speedily and safely – whether they’re renting a car or opening a bank account. We’re building a full-service suite of AI-powered identity verification solutions with fairness and inclusiveness at their core, and were awarded ‘Outstanding Leader in Accessibility’ and ‘Best Innovation in Algorithmic Bias Mitigation’ and ‘Best AI product in FinTech’ awards at CogX

We are a global, established, technology company having surpassed $130M in annual recurring revenue (ARR) with a prominent position in the global marketplace, and have been repeatedly recognized for our performance and innovation. In 2023, we’ve been awarded ‘Best Fraud Detection and Prevention Company of the Year by Frost & Sullivan, featured as a Strong Performer by Forrester in its 2022 Identity Verification Wave, and named to the CB Insights Fintech 250 for the fourth year running. We've received over $200 million in funding from investors such as TPG Growth, Microsoft, and Salesforce to achieve our vision. We partner with hundreds of businesses to help millions access services every week – from billion dollar institutions to hypergrowth unicorns. We support checks in 195 countries, and 2,500+ document types. With over 1,200 customers worldwide and 500 employees

Our goal is to work together to promote and celebrate an inclusive and diverse community. Collectively, all Onfidoers are committed to creating an environment where everyone can be themselves, and where differences are celebrated. We encourage people from all backgrounds and cultures to come together to solve some of the world's most interesting problems.

We put data at the heart of every decision we make. Our Data & Analytics team enables Onfido to access insights and analytics and drive key decisions leading to our success.

In this role, as the Senior Product Data Scientist, you will support the Product organisation to take data driven decisions. You will work on complex and never before explored problems delivering insight on unique and interesting datasets. This role is a hands-on delivery-oriented role with a healthy mix of leading a team while owning one of the key delivery workstreams.

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, engineers, and product improvement leads 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 BI 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

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
• Experience in using open source data visualisation libraries