Senior Marketing Data Scientist
4 weeks ago
Amazon Web Services (AWS) is building a world-class marketing organization, and we are seeking an experienced Senior Marketing Data Scientist to join the central data and science organization for AWS Marketing.
This role will lead the design, development, and deployment of advanced science models in the strategic area of marketing measurement and optimization.
You will work closely with business leaders, scientists, and engineers to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable distributed services.
The ideal candidate will have experience with machine learning models and causal inference, as well as strong rigor in applied sciences and engineering, creativity, curiosity, and great judgment.
Key Responsibilities:
- Lead the design, development, deployment, and innovation of advanced science models in the strategic area of marketing measurement and optimization.
- Partner with scientists, economists, engineers, and product leaders to break down complex business problems into science approaches.
- Understand and mine large amounts of data, prototype and implement new learning algorithms and prediction techniques to improve long-term causal estimation approaches.
- Design, build, and deploy effective and innovative ML solutions to improve components of our ML and causal inference pipelines.
- Influence long-term science initiatives and mentor other scientists across AWS.
Basic Qualifications:
- 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
Preferred Qualifications:
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
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.
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.
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