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The Support Product and Services (SP&S) team focuses on improving advertisers support experience driving self-service support and contact support operations. The Support Products and Services team’s vision is to empower Advertisers with the right assistance at the right time to enable them to confidently and effectively grow their business with Amazon. We know highly effective support interactions both address immediate issues and unlock future business opportunity.
As a SP&S science team, our goal is to develop and advance theories and models that can be used to make informed decisions in providing right advertiser support and estimate impacts of these support using experimental (A/B test) or observational data with the help of causal inference studies. Additionally, we seek to enhance the present models which help estimate the impact of program/product initiatives on contact volume, speed and quality of resolution. The data scientist will also work on identifying opportunity areas to extend recommendation to advertisers proactively using propensity models. We are seeking a Data Scientist who has a solid background in Machine Learning and Data Science, deep passion for building data-driven solutions, ability to formulate data insights and scientific vision, and has a proven track record of executing complex projects and delivering business impact.
Key job responsibilities
• Implement statistical methods to solve specific business problems utilizing code (Python, R, Scala, etc.).
• Drive design and development of user classification models and other predictive models to enable a personalized experience for a user.
• Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.
• Collaborate with program management, product management, software developers, data engineering, and business leaders to provide science support, and communicate feedback; develop, test and deploy a wide range of statistical, econometric, and machine learning models.
• Build customer-facing reporting tools to provide insights and metrics which track model performance and explain variance.
• Communicate verbally and in writing to business customers with various levels of technical knowledge, educating them about our solutions, as well as sharing insights and recommendations.
• Earn the trust of your customers by continuing to constantly obsess over their needs and helping them solve their problems by leveraging technology
About the team
The Support Product & Services team is a collaborative group of Business Intelligence Engineers, Data Scientist, Applied Scientist, Data Engineer, Product Managers, Software Development Engineers, Program Managers and Product. Our work is dedicated to empowering leaders and enabling action through data and science to improve the ways in which we can support advertisers.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA
- Master's degree in a quantitative field, or Bachelor's degree and 5 years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience
- 2 years of data scientist experience involving data extraction, analysis, statistical modeling
- 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
- Master's degree in a quantitative field
- Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $111,600/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.
Full Time
Transportation
$96k-118k (estimate)
07/09/2023
05/16/2024
RANDALLSTOWN, MD
25 - 50
2018
$50M - $200M
Transportation
The job skills required for Data Scientist II include Data Science, Machine Learning, Python, SQL, Economics, SAS, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist II. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Scientist II. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Scientist II positions, which can be used as a reference in future career path planning. As a Data Scientist II, it can be promoted into senior positions as a Data Scientist III that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist II. You can explore the career advancement for a Data Scientist II below and select your interested title to get hiring information.