Senior Applied Scientist, B2B Payments & Lending

Amazon; Seattle (WA); On-site; USD 150,000 - 260,000; Full time

Job summary

An established industry player is seeking a Senior Applied Scientist to leverage their expertise in machine learning and causal inference. This role involves generating actionable insights that drive business strategy and developing solutions for complex financial challenges. You'll work closely with product partners and engineers to deliver customer value, utilizing advanced methodologies and your programming skills. Join a diverse and inclusive workplace that empowers you to make a significant impact while enjoying a competitive compensation package, including equity and comprehensive benefits.

Benefits

Equity options

Comprehensive medical benefits

Financial benefits

Workplace accommodations

Qualifications

• 3+ years of experience building machine learning models for business applications.
• PhD or Master's degree with 6+ years of applied research experience.

Responsibilities

• Combine technical expertise with business intuition to generate critical insights.
• Design and build systems/solutions that support financial products.

Skills

Machine Learning

Causal Inference

Experimentation

Analytical Skills

Problem Solving

Communication

Programming in Java

Programming in C++

Programming in Python

Education

PhD

Master's degree

Tools

R

scikit-learn

Spark MLLib

MxNet

Tensorflow

numpy

scipy

Job description

Senior Applied Scientist, B2B Payments & Lending

Job ID: 2921575 | Amazon.com Services LLC

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.

BASIC QUALIFICATIONS

1. 3+ years of building machine learning models for business application experience
2. PhD, or Master's degree and 6+ years of applied research experience
3. Experience programming in Java, C++, Python or related language

PREFERRED QUALIFICATIONS

1. 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 this link for more information.

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 this link.

This position will remain posted until filled. Applicants should apply via our internal or external career site.