Senior Data Scientist

• MS in CS Machine learning, Statistics, Economics, Operational research, Mathematics or in a highly quantitative field
• 6+ years of hands-on industry experience in predictive modeling and large data analysis
• 3+ years of experience in Python
• Working proficiency in SQL
• Record of delivering large analytical solutions with big business impact

Amazon Web Services’ Marketing Science team is looking for a senior data scientist with strong technical skills in machine learning to drive methodology improvements and tool inventions for marketing planning, goal tracking, targeting and segmentation, while developing our long term roadmap.

This role requires an individual with excellent quantitative modeling skills and the ability to apply statistical/machine learning, econometric, and coding skills.

The candidate should have excellent communication skills to work closely with stakeholders to translate business needs into methodology and data-driven findings into actionable insights. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and ability to work in a fast-paced and ever-changing environment.

Location: Preference for this role to be in Seattle, WA, but open to additional locations near any Amazon/AWS U.S. Corp office only. Relocation offered from within the US only to these locations.

Responsibilities:

• Develop and expand ML multi-touch attribution models
• Lead development and implementation of new algorithms, package into re-usable libraries
• Coach other on the team with a systematical peer review and & model proposal evaluation
• Design, development and evaluation of highly innovative models to help the AWS marketing organization with business decision making and address quantitative problems
• Analyze and understand large amounts of Amazon’s complex and discrete datasets about AWS customers in order to understand our customer behavior and help guide complex business decisions.
• Establish scalable, efficient, automated processes for large scale data analyses, and model development, validation and implementation
• Work closely with other marketing teams to drive model/solution development and their implementation
• Work closely with team of BI engineers to improve data quality and operationalize new solutions
• Communicate and influence senior management and implement novel and statistical approaches

About Us
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have twelve employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

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• PhD in CS, Machine learning, Statistics, Economics, Operational research, Mathematics or in a highly quantitative field
• Communication and data presentation skills
• Problem solving ability
• Published whitepapers on marketing research.
• Experience in building production quality and large scale deployment of applications related to machine learning
• Experience building high-performance, highly-available and scalable distributed real-time analytical solutions

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.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

The base pay range for this position in Colorado is $120,900 - 160,000/ yr; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon’s internal or external careers site.

Benefits overview: https://amazon.jobs/en/internal/landing_pages/benefitsoverview-us