Entrust is an innovative leader in identity-centric security solutions, providing an integrated platform of scalable, AI-enabled security offerings. Headquartered in Minnesota, we offer our colleagues the ability to work globally, in a flexible and collaborative environment. Our team makes an impact!!
The Company: Entrust relies on curious, dedicated and innovative individuals whom anticipate the future and provide solutions for a more connected, mobile and secure world. Entrust’s technologies and expertise help government agencies, enterprises and financial institutions in more than 150 countries serve and safeguard citizens, employees and consumers.
We Believe: Securing identities is most effective when we value all identities. We are committed to ensuring that, through diversity and inclusion, the many voices that make up our communities are heard. From unconscious bias training for managers to global affinity groups that create connections both within and across our enterprise, Entrust expects and encourages all individuals to accept and respect one another. And, of course, to be themselves.
We are looking for Associate Data Scientist
Position Overview:
In this role, as the 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, define the data points needed capturing to facilitate accurate measurement.
Apply technical data skills (data science, statistics, coding/scripting) 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 teams to define, measure and communicate product metrics
Ensure alignment in analytical delivery between Product, R&D and BI Team
Help and educate a diverse group of data users to utilise Onfido’s tools and data assets
Requirements:
Last year of a Master's degree or higher in a quantitative field (Mathematics, Computer Science, Physics, Engineering, Economics, etc.)
Fluency with Data Science standard technologies such as SQL, Python and different BI tools (e.g. Looker, Tableau etc..)
Be a self-starter who takes the initiative in spotting opportunities and finding ways to solve business problems using data
Demonstrable technical experience using analytical tools, statistics and data science techniques to build experiments, test hypotheses and conduct analysis
Ability to be creative and think outside the box
Desirable:
Experience in working with technology and product development teams
Good understanding of Agile methodologies
Experience in using big data & cloud technologies
SaaS and Product analytics background, understanding how to devise metrics and KPIs in a SaaS environment
About Entrust
Entrust is an innovative leader in identity-centric security solutions, providing an integrated platform of scalable, AI-enabled security offerings. We enable organizations to safeguard their operations, evolve without compromise, and protect their interactions in an interconnected world – so they can transform their businesses with confidence. Entrust supports customers in 150+ countries and works with a global partner network, we are trusted by the world most trusted organizations.
For more information, visit www.entrust.com. Follow us on, LinkedIn, Facebook, Instagram, and YouTube
Entrust Corporation is an EOE/AA/Veteran/People with Disabilities employer.
#LI-NR1
For US roles, or where applicable:
Entrust is an EEO/AA/Disabled/Veterans Employer
For Canadian roles, or where applicable:
Entrust values diversity and inclusion and we are committed to building a diverse workforce with wide perspectives and innovative ideas. We welcome applications from qualified individuals of all backgrounds, and we strive to provide an accessible experience for candidates of all abilities.
