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Data Scientist , Robotics Operations Data Solutions
Lensa
Seattle (WA)
Remote
USD 97,000 - 185,000
Full time
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Job summary
Lensa is seeking a Principal Data Scientist to optimize robotics supply chain and manufacturing. This fully remote role will focus on delivering full-stack data science services, including statistical modeling, machine learning techniques, and working with cross-functional teams to drive results. The ideal candidate will have a strong quantitative background and expertise in Python and R.
Qualifications
- 1+ years in data scientist role; familiarity with data extraction and analysis.
- Experience in machine learning systems and model deployment.
- Master's degree or Bachelor's with relevant experience.
Responsibilities
- Design and deliver end-to-end data science solutions.
- Support CI/CD machine learning solutions and application development.
- Conduct exploratory data analysis and communicate results.
Skills
Education
Tools
Job description
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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
About the team
The Robotics Operations Data Solutions (RODS) team supports the mission of the Quality, Technology, and Strategy (QTS) organization within Global Robotics Delivery (GRD) by providing the data infrastructure, advanced analytics, and scientific modeling needed for Robotics Manufacturing Technical Operations (RMTO), Robotics Supply Chain (RSC), and other customer teams in Fulfillment Technologies & Robotics (FTR) to make efficient, cost-optimized, data-driven decisions. We are a cross-functional team of Business Intelligence Engineers, Data Engineers, and Data Scientists with skills that span the complete data lifecycle.
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.
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Data Scientist , Robotics Operations Data Solutions
Description 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....
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