Sr. Data Scientist, Minerva Analytics

Key Skills

AWS, Data science techniques, Effective communication skills, Leadership Skill, Machine learning techniques, MATLAB Programming, Python Programming, R Programming, SAS, SQL, Statistics, Tableau

Job Description

Key job responsibilities

As a Sr. Data Scientist at Amazon, you will connect with world leaders in your field working on similar problems. You will be working with massive-scale data and providing analytic leadership to scientists, product managers, engineers using these data. You will leverage your knowledge in machine learning, advanced analytics, metrics, reporting, and analytic tooling/languages like SQL, Excel, and others, to analyze and translate the data into meaningful insights. You will closely collaborate with business and operations teams, scientists, and engineers. You will have end-to-end ownership of operational and technical aspects of the insights you are building for the business, and will play an integral role in strategic decision-making. Further, you will build data engineering and self-service reporting solutions that enable stakeholders to manage the business and make effective decisions, and will monitor/analyze existing metrics and partner with internal teams to identify process and system improvement opportunities.

About the team

Minerva is a cross-functional science, analytics, and ML org of highly experienced scientists, BI/data engineers, and software engineers with a critical business mission making revolutionary leaps forward using massive-scale data with advanced analytics and machine learning and helping democratize the publishing industry. We build science-based systems for marketing and content-discovery for indie authors, fraud/abuse, and content risk for our publishing businesses. We also use science to optimize manufacturing, fulfillment, and quality processes.

We are open to hiring candidates to work out of one of the following locations:

San Diego, CA, USA

BASIC QUALIFICATIONS

• 4+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 3+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
• Bachelor's degree

PREFERRED QUALIFICATIONS

• 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
• Experience managing data pipelines
• Experience as a leader and mentor on a data science team
• Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
• Experience working with data engineers and business intelligence engineers collaboratively

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $127,300/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. Applicants should apply via our internal or external career site.