Data Scientist , Robotics Operations Data Solutions

Amazon; Bellevue (WA); On-site; USD 97,000 - 185,000; Full time

Job summary

Amazon is seeking a Data Scientist to optimize robotics supply chain and manufacturing processes. The role involves delivering data science solutions, conducting exploratory data analysis, and engaging with stakeholders to turn ambiguous problems into actionable insights. The ideal candidate will possess a strong foundation in statistical modeling, machine learning, and data visualization, supported by a collaborative cross-functional team.

Qualifications

• 1+ years of experience in data extraction, analysis, and statistical modeling.
• Experience with data querying and scripting languages.
• 2+ years in data science or statistical roles in internet-based companies.

Responsibilities

• Support and foster team culture of inclusion.
• Deliver CI/CD machine learning solutions.
• Build subject matter expertise in manufacturing and supply chain science.

Skills

Statistical modeling

Machine learning

Data visualization

Data storytelling

Education

Master's degree in a quantitative field

Tools

SQL

Python

R

SAS

Job description

Data Scientist , Robotics Operations Data Solutions

Job ID: 2994801 | Amazon.com Services LLC

This role can be offered in Seattle or Boston.

As a data scientist in Global Robotics Delivery, you will dive deep into problems in manufacturing and supply chain science. You will design and deliver full-stack data science services to optimize robotics supply chain and manufacturing.

The Robotics Operations Data Solutions team supports manufacturing and supply chain operations for Amazon Robotics. We are looking for a results-oriented Data Scientist, who can own end-to-end data science solutions. The ideal data science candidate is equally committed to all parts of the data science process; from deep-diving business analytics for exploratory data analysis, designing metrics, modeling, and service deployment. A successful data scientist will have a superior command of advanced statistical modeling and machine learning techniques for supply chain optimization such as advanced regression methodologies, time-series analysis, forecasting, and more.

A successful candidate should have a background in stakeholder management and the design of end-to-end machine learning systems that include model deployment infrastructure and A/B testing. We are looking for a data who is able to work with stakeholders to understand problems, and is able to design and deliver full-stack systems and services. You will be supported by a cross functional team of software engineers, data engineers and data scientists.

Key job responsibilities
* Actively support and foster our team’s culture of inclusion
* understand how to turn ambiguous problems in supply chain and manufacturing into tangible solutions
* Deliver CI/CD machine learning solutions
* Bring new ideas into production
* Build subject matter expertise in manufacturing and supply chain science
* Deliver machine learning models as machine learning services
* Demonstrate mastery of exploratory data analysis and the ability to communicate and productionize results
* Delivering insights from production data or ad-hoc experimentation
* Demonstrate mastery of data visualization and data story-telling
* Demonstrate an understanding of machine learning services
* Demonstrate results to customers in a full stack approach such as through Streamlit application development

BASIC QUALIFICATIONS

- 1+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
- 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 3+ years of professional or military experience

PREFERRED QUALIFICATIONS

- Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
- Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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 $97,500/year in our lowest geographic market up to $185,000/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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.