You should have superb analytical, technical, business and communication skills to be able to work with marketing, business and technology leaders to define and prioritize key business questions, build data acquisition processes, data sets, statistical models and analyses that answer those questions. This role requires an individual with deep marketing background, exceptionally strong quantitative modeling skills and experience using statistical methods to produce actionable customer insights. The successful candidate will be a proven analytics leader who is comfortable with ambiguity, demonstrates strong attention to detail, and thrives in a fast-paced environment.
Key job responsibilities
- Partner with senior business and technology leaders to develop data-driven business strategy
- Experience with marketing analytics concepts like marketing mix modelling, LTV modelling, payback analysis, regional tests, ROI analysis etc
- Proven ability to communicate complex technical work to a non-technical audience
- The ability to work with minimal guidance, be proactive and to handle ambiguity and the challenge of quickly evolving goals
- Deliver insights to help shape strategy across a wide spectrum of business and technology areas, including: customer acquisition, customer lifecycle, marketing and sales
- Lead research and development of foundational business enablers, including: acquisition and lifecycle stage propensity models, customer segmentation models, experimentation metrics, marketing attribution models, and forecast and lift models.
- Oversee planning and execution of self-service analytics data infrastructure roadmap using Tableau- - Provide guidance and thought-leadership on analytical best practices to team members and business partners
- Build a Data Engineering team to build requirements for data infrastructure necessary to facilitate efficient analysis and reporting
- Translate analytic insights into concrete, actionable recommendations for business or product improvement
- Building robust tracking of our spend, subs, and revenue data that allows our marketing team to adjust their spend decisions over time
- Building predictive models that allow us to predict LTV and CAC over multi-year timeframes
- Building tools to allow us to measure the LTV impact from specific product experiments, to help product teams maximize impact for long-term LTV
- Helping us measure the impact of widely targeted brand spend on channels like TV and out-of-home
- Experience with MMM modeling
- Manage a roadmap for our marketing analytics measurement framework
- Conduct ad-hoc analysis and provide data expertise around attribution, LTV modelling, ROI analysis, and help uncover insights in our ads and user behavior that allow us to efficiently deploy millions of dollars in ad spend per month- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/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
https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
