Blackhawk Network - Pleasanton, CA

posted 3 months ago

Full-time - Senior
Pleasanton, CA
Merchant Wholesalers, Nondurable Goods

About the position

Blackhawk Network (BHN) is a leader in global branded payment technologies, dedicated to transforming transactions into connections between brands and their customers, employees, and partners. The company offers a diverse portfolio that includes Gift Card & eGift products, promotions, and distribution strategies aimed at accelerating revenue growth. Additionally, BHN provides Rewards & Incentives that foster loyalty and customer acquisition, integrated into leading platforms, as well as innovative payment solutions that facilitate convenient access to funds for businesses and customers alike. With a global network encompassing over 400,000 consumer touchpoints, BHN is committed to enhancing its product offerings through data science and machine learning initiatives. We are seeking a Staff Software Engineer specializing in Data Science and Machine Learning to spearhead efforts in risk modeling and business forecasting. In this role, you will take ownership of the research charter for Data & Decision Science, empowering business stakeholders to make data-driven decisions and effectively plan their roadmaps. You will collaborate with a team of Data Scientists, providing mentorship and fostering a culture of comprehensive business analysis. Your responsibilities will include managing modeling environments and risk engines, promoting best practices for rapid prototyping, and ensuring a continuous research approach. As part of a multi-disciplinary team, you will tackle real-world data science challenges by analyzing specific questions and developing reusable solutions. You will work closely with product, engineering, and operations teams to prioritize critical inquiries and deliver scalable, reproducible solutions based on data insights. Additionally, you will partner with software and data engineers to implement statistical and econometric modeling techniques, contributing to the overall success of BHN's initiatives.

Responsibilities

  • Own the research charter for Data & Decision Science to enable data-driven decision-making.
  • Mentor a team of Data Scientists and promote a culture of comprehensive business analysis.
  • Manage modeling environments and risk engines.
  • Evangelize best practices for rapid prototyping and continuous research.
  • Collaborate with multi-disciplinary teams to solve real-world data science problems.
  • Analyze specific questions and create reusable solutions.
  • Work with product, engineering, and operations teams to prioritize important questions.
  • Provide scalable and reproducible solutions based on data insights.
  • Partner with software and data engineers to employ statistical and econometric modeling.

Requirements

  • Masters or PhD in Statistics, Decision Sciences, Applied Mathematics, Economics, Computer Science, or equivalent experience.
  • 10+ years of overall professional experience with 6+ years in data science, including exploratory data analysis and model building.
  • Strong background in advanced mathematics, particularly statistics and probability theory, data mining, and machine learning.
  • Expertise in feature engineering, A/B testing, statistical modeling, causal inference, and data visualization techniques.
  • Demonstrated experience in creating, deploying, and evaluating supervised and unsupervised machine learning models.
  • Experience in building and deploying highly scalable, low latency RESTful services for real-time predictions.
  • Proficiency in Python and SQL.
  • Experience in conducting research and creating on-demand reports.
  • Ability to handle large datasets and discover hidden patterns using data visualization tools.
  • Strong communication skills to articulate insights across different seniority levels.

Nice-to-haves

  • 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

Benefits

  • 401k with employer match
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 12 paid holidays in 2024
  • 1 hour of sick pay accrual for every 30 hours worked
  • Parental leave
  • Life insurance
  • Disability insurance
  • Accident and illness insurance
  • Health and dependent care flexible spending accounts
  • Wellness benefits
  • Flexible time off for all full-time employees
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