Blackhawk Network

Blackhawk Network (BHN) is the leader in global branded payment technologies.. BHN's portfolio includes: Gift Card & eGift products, promotions and distribution that grow revenue faster; Rewards & Incentives that build loyalty and acquisition and are integrated into today's leading platforms; and Payments that enable businesses and customers to access and disburse funds in convenient and innovative ways.. BHN's network spans across the globe with over 400,000 consumer touchpoints.. Masters or PhD in Statistics, Decision Sciences, Applied Mathematics, Economics or Computer Science or the equivalent combination of education, training, and work experience.. Experience handling large datasets, diving into data to discover hidden patterns, using data visualization and analysis tools.

staff software engineer

About Blackhawk Network: Blackhawk Network (BHN) is the leader in global branded payment technologies. We strengthen relationships between brands and their customers, employees, and partners by transforming transactions into connections. BHN's portfolio includes: Gift Card & eGift products, promotions and distribution that grow revenue faster; Rewards & Incentives that build loyalty and acquisition and are integrated into today's leading platforms; and Payments that enable businesses and customers to access and disburse funds in convenient and innovative ways. BHN's network spans across the globe with over 400,000 consumer touchpoints. Learn more at Overview: We are looking for a Staff Software Engineer - Data science and Machine Learning to join the initiatives we are taking, to improve the product offerings of Blackhawk Network, from the perspective of risk modelling and business forecasting. Responsibilities: 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 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. Qualifications: Masters or PhD in Statistics, Decision Sciences, Applied Mathematics, Economics or Computer Science or the equivalent combination of education, training, and work experience. 10+ years of overall professional experience with 6+ 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. Experience with building and deployment of highly scalable, low latency RESTful services to serve model for real-time predictions. 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. Strong Communication: 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. Preferred Qualifications 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: Salary Range for California Residents Only: $133,920 to $180,800. Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, Blackhawk Network offers benefits including 401k with employer match, medical, dental, vision, 12 paid holidays in the year 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, and flexible time off for all full-time employees. EEO Statement: Blackhawk Network provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Blackhawk Network believes that diversity leads to strength. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Blackhawk Network encourages applicants with previous criminal records to apply to all positions and, pursuant to the San Francisco and Los Angeles Fair Chance Acts (and other "Fair Chance" laws), Blackhawk Network will consider for employment qualified applicants with arrest and conviction records. For Philadelphia applicants or jobs, please see a copy of Philadelphia's ordinance on this topic by clicking this link: \_pa/0-0-0-280104. Job Type: Full-time Pay: $133,920.00 - $180,800.00 per year Work Location: In person

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