54 applicants

Company

Original Job Post

Amazon · 5 days ago

Data Scientist II

North Reading, MA

Full-time

Onsite

Mid Level

2+ years exp

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Insider Connection @Amazon

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Collaborate with research and robotics experts to design and run experiments, research new algorithms, and improve Amazon Robotics analytics.

Partner with technology and product leaders to solve business problems using scientific approaches.

Build new tools, invent business insights, and quantify system performance at scale.

Expand the breadth and depth of analysis to enhance software components and warehouse processes.

Engage with software development teams and warehouse design engineers to drive the evolution of the AR system and simulation engine.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ExtractionData AnalysisStatistical ModelingSQLHadoopHiveMachine LearningData Analysis ToolsStatistical Modeling TechniquesPythonRSASMatlabScripting LanguagesData ScienceAWS ServicesFlaskDashProduction Environment

Required

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 or similar role involving data extraction, analysis, statistical modeling and communication experience

2+ years of data querying languages (e.g. SQL, Hadoop/Hive) experience

3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience

2+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience

Preferred

Experience in a ML or data scientist role with a large technology company

Experience with AWS services, such as Athena, S3, lambda function, Redshift, Sagemaker.

Experience with building ML model in production environment.

Experience with Flask, Dash, etc to build Data science tool

Benefits

Medical, Dental, and Vision Coverage

Maternity and Parental Leave Options

Paid Time Off (PTO)

401(k) Plan

Company

Amazon

Glassdoor

3.7

Amazon is a global tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.

Founded in 1994

Seattle, Washington, USA

10,001+ employees

https://amazon.com

H1B Sponsorship

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Distribution of Different Job Fields Receiving Sponsorship

Trends of Total Sponsorships

2023 (14000)

2022 (23375)

2021 (15334)

2020 (14558)