BHN Data Scientist
Principal Data Scientist
We are looking for a Principal Data Scientist to join the initiatives we are taking to improve the product offerings of Blackhawk Network, from the perspective of risk modelling and business forecasting. This is a great opportunity to join a team that is growing and truly providing valuable insight and recommendations to drive revenue and growth for Blackhawk Network. You will have the opportunity to partner with our senior leadership team in addition to other senior level folks. This is a high visibility, high impact role that is designed to help drive our product roadmap for Blackhawk.
In this role, you will be responsible for owning 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 roadmap planning. You will join a team of Data Scientists providing mentorship and enabling a culture of 360-degree analysis of business, with ownership of the modelling environments and risk Engines. You will evangelize sound practices for prototyping of concepts, to fail-fast and/or keep continuum of persistent research. You will collaborate with multi-disciplinary teams to solve real world data science problems by analyzing one-off questions and creating reusable solutions. You will collaborate with product, engineering, and operations teams to prioritize important questions and to provide scalable and reproducible solutions based on data. You will partner with software and data engineers to employ statistical and econometric modeling.
Masters or PhD in Statistics, Decision Sciences, Applied Mathematics, Economics or Computer Science or the equivalent combination of education, training, and work experience. 7-10
years of overall professional experience with 3-5
years in data science, doing exploratory data analysis, testing hypotheses, and building prescriptive & predictive models. A strong background in advanced mathematics, in particular statistics & probability theory, data mining, and machine learning. Expert in feature engineering, experimentation with A/B testing, statistical modeling, causal inference, visualization techniques and machine learning to model complex, ambiguous problems to find opportunities, discover solutions and deliver actionable business insights. Demonstrated experience in creation, deployment, and performance evaluation of supervised and unsupervised machine learning models. Proficiency in both Python and SQL. Previous experience efficiently conducting research and creating on-demand reports. Experience handling large datasets, diving into data to discover hidden patterns, using data visualization and analysis tools.
ability to articulate clearly, navigate & adapt across different seniority levels Be passionate about collaboration to solve complex problem. Be eager to help teammates, share knowledge with them, and learn together. Fraud/Risk modeling experience Experience with econometrics Experience with production model development, implementation, and monitoring Experience in an Agile development environment Experience with AWS cloud environment Participation in Kaggle competition, open-source projects, publications in data science and machine learning domain