Business Intelligence Scientist, Amazon Prime

2 weeks ago

Seattle, Washington, United States Amazon Full time

Applied Scientist, Amazon Business Prime

Join a rapidly growing $35 billion global enterprise at Amazon Business. We are a dynamic startup dedicated to crafting innovative solutions that disrupt traditional norms.

At the crossroads of technology and retail in the B2B sector, we develop cutting-edge purchasing and procurement solutions that empower businesses and organizations to flourish.

Our mission is to become the most recognized and preferred strategic partner for intelligent business purchasing. We encourage you to bring your insights, creativity, and a bold approach to challenge the impossible.

Unlock your career potential with us.

We are in search of an Applied Scientist with a robust background in applied Machine Learning and Data Science. The ideal candidate will possess a deep enthusiasm for creating data-driven products, the capability to derive actionable insights, and a proven history of executing complex projects that yield significant business impact.

Key Responsibilities:

  • Generate data-driven insights to enhance the acquisition of new members.
  • Increase benefit adoption tailored to customer segments and verticals, guiding customers to their pivotal moments.
  • Conduct customer lifecycle analysis to refine targeting, identification, and spending behavior.
  • Collaborate with a team of applied scientists and software engineers to implement machine learning and data science solutions into production.
  • Elevate the team's engineering expertise and foster ongoing scientific innovation as a thought leader and practitioner.
  • Guide and mentor talented team members, offering technical and career development support to both scientists and engineers.

About the Team:

The Marketing Science team employs scientific methodologies and research techniques to deepen our understanding of consumer behavior, market dynamics, and the efficacy of marketing strategies.

Our objective is to develop and refine theories and models that inform marketing decisions and provide insights into consumer decision-making processes.

We also aim to identify and investigate emerging trends and technologies in marketing, creating innovative strategies to tackle the challenges and opportunities in the field.

Qualifications:

  • Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or a related quantitative field.
  • 3+ years of experience in building machine learning models or developing algorithms for business applications.
  • Proficiency in programming languages such as Java, C++, Python, or similar.
  • Strong verbal and written communication skills.
  • PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or a related quantitative field.
  • 5+ years of experience in building machine learning models for business applications.
  • Experience with patents or publications in top-tier peer-reviewed conferences or journals.
  • Exceptional oral and written communication skills, with the ability to convey complex technical concepts and solutions to all organizational levels.

Amazon is committed to fostering a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on 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 our website for more information.

Our compensation reflects the labor costs across various US geographic markets. The base pay for this position ranges based on market location and may vary depending on job-related knowledge, skills, and experience.

Amazon is a total compensation company, offering equity, sign-on payments, and other forms of compensation as part of a comprehensive package, alongside a full range of medical, financial, and other benefits.

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

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