Are you passionate about leveraging your applied science skills to deliver actionable insights that impact daily business decisions Do you thrive using causal inference, experimentation, and Machine Learning/AI to answer challenging product and customer behavior questions Do you want to be a technical leader and build flexible and global solutions for complex financial, risk, and causal problems If so, here is a great opportunity to consider!
Amazon B2B Payments & Lending is seeking a Senior Applied Scientist who will combine their technical expertise with business intuition to generate critical insights that will set the strategic direction of the business. You will be a thought leader on the team, help set the team's strategic focus and roadmaps, and design and build systems/solutions that support financial products, working closely with business/product partners and engineers. You will utilize causal inference/experimentation/ML/AI methodologies, data and coding skills, problem solving and analytical skills, and excellent communication to deliver customer value.
As a Senior Applied Scientist on our team, you'll play a pivotal role in uncovering actionable insights that shape the strategic direction of our products and services. You'll work closely with business stakeholders, data scientists, and engineers to tackle complex problems at the intersection of finance, risk modeling, and customer behavior.
A day in the life
- Collaborate with product, data, and engineering teams to identify key business and customer questions that can be answered through advanced analytics and machine learning
- Design and build flexible, scalable solutions that leverage causal inference, experimentation, and applied ML/AI to provide critical insights that drive strategic decisions
- Present analyses and recommendations to stakeholders, while also mentoring more junior data scientists and innovating on the team's capabilities
About the team
The Amazon B2B Payments & Lending team is a fast-paced, highly collaborative group focused on enabling seamless financial experiences for our business customers. We're building innovative solutions that leverage the power of data, AI, and automation to deliver frictionless payment processing, credit decisioning, and financial management tools.
Our team culture is one of curiosity, creativity, and a relentless drive to delight our customers. We value bold thinking, data-driven decision making, and a willingness to experiment and learn. If you're passionate about using your technical expertise to drive meaningful business impact, this is an exciting opportunity to make a difference.
BASIC QUALIFICATIONS
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
PREFERRED QUALIFICATIONS
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer 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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit
https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.