Senior Applied Scientist, Customer Behavior Analytics

Job summary
We are looking for a senior applied scientist to build state-of-the-art causal ML algorithms to create the best measure of customer long-term value for driving optimal decisions across Amazon.

Key job responsibilities
You will work closely with other machine learning scientists, data engineers, software developers and economists to build long-term causal estimation products using a combination of econometrics, machine learning and statistics leveraging the power of big data. These products lay the foundation of several key initiatives and strategic program investments at Amazon, generating multiple $Bns in incremental value across the company.

A day in the life
As a Senior Applied Scientist, you will bring statistical modeling and machine learning advancements to data analytics for customer-facing solutions in complex industrial settings. You will be working in a fast-paced, cross-disciplinary team of researchers who are leaders in the field. You will take on challenging problems, distill real requirements, and then deliver solutions that either leverage existing academic and industrial research, or utilize your own out-of-the-box pragmatic thinking. In addition to coming up with novel solutions and prototypes, you may even need to deliver these to production in customer facing products.

About the team
Customer Behavior Analytics (CBA) organization owns Amazon’s insights pipeline, from data collection to deep analytics. We aspire to be the place where Amazon teams come for answers, a trusted source for data and insights that empower our systems and business leaders to make better decisions. Our outputs shape Amazon product and marketing teams’ decisions and thus how Amazon customers see, use, and value their experience.

Basic Qualifications

• PhD degree with 4+ years of applied research experience or a Master's degree and 6+ years of experience of applied research experience
• 3+ years of experience in building machine learning models for business application
• Experience programming in Java, C++, Python or related language

• PhD degree (CS, AI, ML, OR, Statistics, or related field) with 4+ years of applied research experience, or a Master's degree and 6+ years of experience of applied research experience
• 3+ years of experience in building ML models
• Advanced proficiency in statistical modeling, experimental design, and machine learning algorithms
• Hands-on experience in using object-oriented programming languages such as Java, C++, Python or related language
• Hands-on experience in building ML models with web-scale datasets and deploying these models to production environment
• Experience in owning end-to-end business problems/metrics that directly impact the company or organization

Preferred Qualifications

• Expertise in causal inference
• Experience in leading a small team of applied researchers or scientists to complete a project of sizable impact to the company or organization
• Knowledge of professional software engineering practices & best practices across the full software development life cycle
• Publications or presentations in top Machine Learning, Deep Learning, or Data Mining journals/conferences

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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.