Sr. Applied Scientist, Customer Behavior Analytics (Marketing Measurement Solutions)

Amazon; Dallas, Northern (TX, KY); Hybrid; USD 167,000 - 226,000; Full time

Benefits offered by this job

Sign-on payments

Health insurance

401(k) matching

Paid time off

Parental leave

RSUs

Job summary

Amazon’s Customer Behavior Analytics team is hiring an Sr. Applied Scientist to advance Marketing Measurement solutions.

You will develop scalable ML and causal inference models to estimate the effectiveness of Amazon’s marketing efforts and deliver actionable insights to marketing teams. You will work with product managers and software engineers to translate data into business questions, apply ML/DL and statistics at scale, and contribute to research shared with the Amazon science community.

Qualifications

• 4+ years of applied research experience.
• 3+ years building ML models for business applications.
• PhD, or Master’s degree and 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.

Responsibilities

• Apply Transformer models, LLMs, ML/DL and statistical modeling to develop solutions describing how marketing campaigns impact customer actions.
• Own end-to-end development of novel causal inference models addressing business needs.
• Improve and simplify existing models and frameworks.
• Review and audit modeling processes and results from other scientists.
• Collaborate with marketing leadership to align measurement with business strategy.
• Formalize model assumptions and explain their reasoning.
• Identify opportunities suggested by data insights and contribute to department-wide decision making.
• Develop and document scientific research for the broader Amazon science community.

Skills

Applied research

ML model development

Programming: Java/C++/Python

Deep learning

Education

PhD or Master’s + 6+ years research

Tools

R / scikit-learn

Spark MLLib

MxNet / TensorFlow

NumPy / SciPy

Job description

Sr. Applied Scientist, Customer Behavior Analytics (Marketing Measurement Solutions)

Job ID: 10535228 | Amazon.com Services LLC

Amazon’s Customer Behavior Analytics org is looking for an Applied Scientist to spearhead the rapid growth of our Marketing Measurement solutions. The team focuses on building scalable ML and causal inference solutions to estimate the effectiveness of Amazon marketing efforts and provide actionable insights to the various marketing teams within Amazon. This is a high-impact role with opportunities to develop systems that affect investments to the size of billions of dollars. We work closely with business stakeholders and strive to continuously produce tangible impact on the company’s strategic and tactical planning and operations.

A successful candidate will be a self-starter, comfortable with ambiguity, able to think big and be creative, while still paying careful attention to detail. You should be able to translate how data represents the customer journey, be comfortable dealing with large and complex data sets, and have experience using machine/deep learning at scale to solve business problems. You should have strong analytical and communication skills, be able to work with product managers and software teams to define key business questions and work with the analytics team to solve them. You will apply your expertise in ML/DL, statistics, and data-wrangling to identify opportunities for further research and to provide insights that drive larger initiatives. You will join a highly collaborative and diverse working environment that will empower you to shape the future of Amazon marketing, as well allow you to be part of the large science community within the Customer Behavior Analytics (CBA) organization.

Key job responsibilities

• Apply your expertise in Transformer models, LLMs, ML/DL and statistical modeling to develop solutions and systems that describe how Amazon’s marketing campaigns impact customers’ actions
• Own the end-to-end development of novel causal inference models that address the most pressing needs of our business stakeholders and help guide their future actions
• Improve upon and simplify our existing solutions and frameworks
• Review and audit modeling processes and results from other scientists, both junior and senior
• Work with marketing leadership to align our measurement plan with business strategy
• Formalize assumptions about how our models are expected to behave and explain why they are reasonable
• Identify new opportunities that are suggested by the data insights - Bring a department-wide perspective into decision making
• Develop and document scientific research to be shared with the greater science community at Amazon

About the team

The 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

• 4+ years of applied research experience
• 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
• Experience with neural deep learning methods and machine learning

Preferred Qualifications

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually