Manager of Data Science, Amazon Business-to-Business Payments and Lending

The Data Science Manager will be a crucial leader within the Credit team at Amazon Business Payments and Lending. This role will head the science team in the development of top-tier underwriting systems. This position represents a substantial intellectual, technical, and operational challenge with immense opportunity for business impact. Amazon is committed to creating credit/lending services that assist small to large businesses globally. We believe our in-depth understanding of our customer base, coupled with a rigorous scientific approach and customer-focused dedication to building financial products, puts us in a unique position to serve our clients with outstanding value. This leader will be passionate about empowering the growth of businesses of all sizes, and future sectors, by eliminating a major obstacle to increasing their activity on Amazon - access to capital. This leader will demonstrate sound judgement and extensive business experience across economic cycles. They have a proven ability to identify and recommend data-driven solutions, navigating complex financial and regulatory issues across regions. This role is highly strategic and will engage with all levels across a broad spectrum of teams and leaders throughout Amazon. This leader will need to collaborate with our business and product management partners to communicate the attributes of their team’s analysis/modeling. This role bears responsibility for the multi-year research agenda and prioritization for the team, ensuring that projects contribute meaningfully to outcomes. Key Job Responsibilities: - Lead, mentor, and develop a top-performing data science team - Use advanced analytics and ML techniques to support Credit Management processes - Source, integrate, and analyze alternative credit data to drive innovation - Oversee data science team roadmap, efficiently balancing multiple projects in a fast-paced, dynamic environment - Cooperate effectively with Credit Strategy, operation, product teams, and senior management at ABPL to underwrite new customers and manage portfolio risk - Improve operational efficiencies and excellence, ensure high performing credit management science models - Encourage a culture of transparency, integrity, and ethical use of data. We're open to hiring candidates from various locations: New York, NY, USA | Seattle, WA, USA Basic Qualifications: - Bachelor's degree in a quantitative field - 7+ years experience in a data science role, 3+ years in a leadership role managing Machine Learning Scientists - Excellent analytical skills - Attention to detail and eagerness to engage in hands-on work - Demonstrated ability to operate both strategically and tactically - Experience hiring and leading experienced scientists - Outstanding communication and collaboration skills - Proficiency in Python, SQL, or other programming languages Preferred Qualifications: - 10+ years of practical experience applying ML to solve complex problems; 5+ years managing Machine Learning Scientists - Project management experience for cross-functional projects - Proven record of creating a long-term research vision and implementing it into production systems - Experience with ML solutions on AWS - Experience with big data platforms like Hadoop or Spark and machine learning frameworks like TensorFlow or Pytorch Amazon is committed to a diverse and inclusive workplace and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For disability accommodations, please visit https://www.amazon.jobs/en/disability/us. This position offers a salary range of $140,100/year to $272,400/year depending on location and job-related knowledge, skills, and experience. Amazon offers a total compensation package, including equity, sign-on payments, and other forms of compensation, in addition to a full range of medical, financial, and/or other benefits. For more information, visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.