Sr. Data Scientist, Amazon Robotics

Amazon; Seattle (WA); On-site; USD 143,000 - 248,000; Full time

Job summary

A leading company is seeking a Sr. Data Scientist to drive data-powered decision-making. The role involves developing predictive models, creating visualizations, and collaborating with cross-functional teams to enhance operational efficiency and customer experience.

Benefits

Medical, Dental, and Vision Coverage

Maternity and Parental Leave Options

Paid Time Off (PTO)

401(k) Plan

Qualifications

• 5+ years of experience in data extraction, analysis, and statistical modeling.
• Master's degree in a quantitative field or equivalent experience.

Responsibilities

• Develop predictive models and simulations for large-scale datasets.
• Create data visualizations to communicate system performance.

Skills

Machine Learning

Data Mining

Statistical Examination

Problem Solving

Education

Master's degree in a quantitative field

Bachelor's degree and 8+ years of experience

Tools

SQL

Python

R

SAS

Matlab

AWS QuickSight

Tableau

R Shiny

Job description

Job ID: 2975163 | Amazon.com Services LLC

Amazon Robotics develops state-of-the-art robotics solutions to power Amazon's world-class Fulfillment Operations, which handle more single items than any other company. Our team is at the forefront of building automated manipulation products to handle and process packages and single items.


Key job responsibilities
As a Sr. Data Scientist in the team, you will play a crucial role in driving data-powered choice making. Your main focus will be:

* Developing predictive models and simulations to evaluate complex, large-scale datasets and uncover insights to improve customer experience, operational efficiency, capital investment effectiveness, and automation utilization.
* Creating compelling data visualizations that communicate end-to-end system performance and identify optimization opportunities.
* Establishing robust data evaluation frameworks and KPIs to quantify the impact of your solutions and evaluate tradeoffs between priorities of equal importance.
* Collaborating cross-functionally with engineering, operations, and business stakeholders to understand their needs, translate them into data-focused projects, and deliver impactful results.

A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

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!


About the team
We're looking for an experienced, self-motivated, senior Data Scientist with a strong background in machine learning, data mining, and statistical examination. You should have excellent problem-solving skills, the ability to work solo, and a passion for leveraging data to drive meaningful business outcomes.

BASIC QUALIFICATIONS

- 5+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) 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 8+ years of professional or military experience
- Experience with statistical models e.g. multinomial logistic regression

PREFERRED QUALIFICATIONS

- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience

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 $143,300/year in our lowest geographic market up to $247,600/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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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.