Sr. Data Scientist - Supply Chain

• Master’s degree in a highly quantitative field: Machine Learning, AI, Computer Science, Statistics, Mathematics, Operational Research, etc.
• 4+ years of hands-on industry experience in predictive modeling and analysis, causal inference, or multivariate statistics, as an ML engineer or data scientist role, applying various ML techniques, and deep understanding the key parameters that affect their performance.
• Proficient with Python and data manipulation/analysis libraries such as Scikit-learn and Pandas for analyzing and modeling data.
• Experienced in using multiple data science methodologies to solve complex business problems (e.g. statistical analysis, research science, machine learning and deep learning techniques, data modeling, regression modeling, financial analysis, demand modeling, etc.).

AWS Outcome Driven Engineering (ODE) is a new AWS engineering organization chartered to build new AWS products by applying Amazon’s innovation mechanisms along with AWS digital technologies to real world industry problems. We dive deep with industry leaders to solve problems and unblock industries, enabling them to capitalize on new digital business models. Simply put, our goal is to use the skill and scale of AWS to make the benefits of a connected world achievable for all businesses.

We are looking for an experienced and passionate analytical researcher to work with our partners and build new AWS products. As a Data Scientist on the Outcome Development Engineering team, you will get to:

• Collaborate directly with economists and statisticians to produce modeling solutions,
• Partner with software developers and data engineers,
• Build end-to-end data pipelines and production code,
• Have exposure to senior leadership,
• Communicate results and provide scientific guidance to the business.
• Analyze large amounts of business data,
• Automate and scale the analysis,
• Continually delight our customers worldwide!

As a senior data scientist, you are an analytical problem solver who enjoys diving into data, is excited about investigations and algorithms, can multi-task, and can credibly interface between technical teams and business stakeholders. Your analytical abilities, business understanding, and technical savvy will be used to identify specific and actionable opportunities to solve existing business problems and look around corners for future opportunities. Your expertise in synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication will enable you to answer specific business questions and innovate for the future.

You will solve real world problems by analyzing large amounts of business data, defining new metrics and business cases, designing simulations and experiments, creating ML models, and collaborating with teammates in business, software, and research. The successful candidate will have a strong quantitative background and can thrive in an environment that leverages statistics, machine learning, operations research, econometrics, and business analysis.

Work/Life BalanceOur team puts a high value on work-life balance. Prior to Covid restrictions, our team was co-
located in the office, but we were also flexible when people occasionally needed to
work from home. We generally keep core in-office hours from 10am to 4pm. About half
of us come in earlier and the other half of us stay later. Once Covid restrictions are lifted, we expect to follow Amazon policy on working from home

Building a High-Performing & Inclusive Team Culture
You will be attracting & developing a world-class team that welcomes, celebrates, and leverages a diverse set of backgrounds and skillsets to deliver results. Driving results through others is your primary responsibility, and doing so in a way that builds on our inclusive culture is key to our long term success.

Mentorship & Career Growth
You will be attracting & developing a world-class team that welcomes, celebrates, and leverages a diverse set of backgrounds and skillsets to deliver results. Driving results through others is your primary responsibility, and doing so in a way that builds on our inclusive culture is key to our long term success.

We will consider candidate placement in: Seattle, Atlanta, and other East Coast locations in North America.

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.

• A PhD degree in a highly quantitative field (Machine Learning, AI, Computer Science, Statistics, Mathematics, Operational Research, etc.).
• Supply Chain Experience

8+ years’ experience in a ML or Data Scientist role with a large technology company.

• Extensive knowledge and practical experience in several of the following areas: machine learning, statistics, NLP, deep learning, recommendation systems, information retrieval.
• Skilled with Java, C++, or other similar programming language.
• Functional knowledge of AWS platforms such as S3, Glue, Athena, Sagemaker
• Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.