Data Scientist, Decision Intelligence

- Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance
- Experience working as a Data Scientist
- Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
- 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

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At Amazon we strive to be earth’s most customer- centric company and data is a foundational component to making this happen. The OTS Decision-Intelligence team is looking for Data Scientists who are excited to collaborate closely with Product Managers, Engineers, Research Scientists, and other Data Scientists to spearhead innovative solutions with LLM increasing Amazon’s ability to personalize Customer Service.

As a successful data scientist, you need to deeply understand customers and how best to support them. You will identify specific and actionable opportunities to solve existing business problems. You need to be a sophisticated user of advanced quantitative techniques for answering specific business questions, and an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication.

Key job responsibilities
- Design and run experiments, research new algorithms, and find new ways to improve analytics to optimize the candidate and associate experience.
- Research machine learning algorithms and implement by tailoring to business needs and test on large datasets.
- Partner with scientists, engineers and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our customers.
- Collaborate with BI/Data Engineer teams and drive the collection of new data and the refinement of existing data sources to continually improve data quality.
- Foster culture of continuous engineering improvement through mentoring, feedback, and metrics.
- Manipulating/mining data from databases (Redshift, SQL Server, Oracle DW, and Salesforce).
- Providing analytical network support to improve quality and standard work results.
- Translating business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies. In cases where questions cannot be answered with available data, work with engineers to produce the required data.
- Retrieving, synthesizing, and presenting data in a format that is immediately useful to answering specific questions or improving system performance.
- Applying statistical or machine learning knowledge to solve specific business problems.
- Support Research Scientist in data exploration, feature identification, model optimization and performance monitoring.
- Building decision-making models and proposing solutions for the business problem you defined.
- Conducting written and verbal presentations to share insights and recommendations to audiences of varying levels of technical sophistication.

A day in the life
We thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology, we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Our decisions are guided by data, and we collaborate with engineering, science, and product teams to foster an innovative learning environment.

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!