Join the Data Science team at Blackhawk Network to help drive business value through advanced data analysis and machine learning model insights.
Build, maintain, and extend technology systems that provide significant value to BHN's business, including fraud prevention systems.
Perform data-driven analysis on key strategic issues—from customer segmentation to real-time risk management tools.
Collaborate with Data Scientists, ML Engineers, Product, and Executive teams to ensure optimal performance of data systems and models.
Work closely with the Data Science and ML Engineering teams to generate reports on machine learning model performance and health.
Help improve models through post-decision performance analysis.
Monitor and analyze brand statistics to ensure fair decision-making across multiple brands.
Set up and manage AB and multivariate tests; interpret results for business stakeholders.
Interface with Product and Engineering to ensure optimal instrumentation of BHN risk models and reported data visualizations.
Requirements
Bachelor’s degree in Math, Computer Science, Physics, or another analytical degree required.
1–2 years of experience working with data to address key business challenges in an engineering or quantitative role.
Strong programming skills, with proven proficiency in Python for data manipulation and analysis.
Demonstrated proficiency in either the Streamlit Python package or Power BI for visualization and dashboarding.
Strong analytical background with expert ability to break down and clearly define complex business and technical problems.
Proficient in understanding and analyzing machine learning methodologies/statistical modeling (regression, classification, and unsupervised approaches).
Excellent written and verbal communication skills.
Benefits
401k with employer match
Medical, dental, and vision insurance
12 paid holidays in the year 2025
Sick pay accrual according to state law
Parental leave
Life insurance
Disability insurance
Accident and illness insurance
Health and dependent care flexible spending accounts
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