At Blackhawk Network, we shape the future of global branded payments through the prepaid products, technologies, and networks that connect brands and people. Our collaborative innovation and scalable, security-minded solutions help our partners to increase reach, loyalty, and revenue. We believe our future holds great things for Blackhawk Network and its partners. We believe that together, we can shape the future. Our beliefs? Win as one team, be innovative, global excellence and be inspiring!
So, what are you waiting for? Shape your career and join our global network.
What’s in it for you?
You will build large scale data lake that collect, processes and transforms the data into valuable business insights. You will tame all facets of big data at a Global scale and turn the wild west of data into robust and accurate business insights. The data platform that you build will enable the culture of data driven decision making across the entire company and will work at the forefront of cutting-edge technologies of data processing, visualization, and business intelligence.
We are looking for a trailblazer & practitioner Data Scientist to lead the initiatives we’re taking, to improve the product offerings of Blackhawk Network, from the perspective of risk modelling and business forecasting (prescriptive & predictive).
As a Senior Data Scientist, you will own the research charter for Data & Decision Science, to enable the business stakeholders to be data-driven and deterministic, by providing insights into the decisions at-hand and also roadmap planning.
You will be the Senior member in a team of Data Scientists to provide mentorship and enable a culture of 360-degree analysis of business, with ownership of the Modelling Environments and Risk Engines. You will get the support to evangelise sound practices for prototyping of concepts, to fail-fast and/or maintain continuum of persistent research.
You will collaborate with multi-disciplinary teams of engineers, product owners & business stakeholders to solve complex & ambiguous problems, in the domains of: