Data Scientist, HVH Science

Key Skills

Java Programming, Leadership, Python Programming, C++, SQL, Agile methodologies, AWS, Big Data Technology, Machine learning techniques, Data science techniques, MATLAB Programming, R Programming, MySQL, Amazon RedShift, Amazon Elastic Compute Cloud-EC2, Amazon RDS, Database testing, VBA, R-Shiny, SPSS Statistics, Dash framework, Data Warehousing

Job Description

Amazon is solving some of the world's toughest problems, and we are customer (and candidate obsessed) when it comes to scaling the hiring process for one of the planet’s largest workforces. We are asking questions like: How do we hire the right number of associates at the right time? How do we handle hundreds of thousands, or even millions of applications, while ensuring the job search process is friction-free for applicants? How do we match the right job to right associate while providing flexibility to work across different job types and time of the day?

In response to those questions, our team of tenured Amazonians and industry talent is using native AWS technologies to build a new, mobile-first hiring solution from scratch. Applicants will use this system to begin their journey with Amazon from initial job search, through the interview process, to Day 1 onboarding in our fulfillment centers and beyond. Along the way, we are experimenting with the latest technologies and ML to make the hiring process better for hundreds of thousands of future Amazonians. Our hourly workforce is Amazon’s foundation – we cannot deliver for our customers without them. Join and help us build the workforce of the future.

We are looking for an experienced and motivated Data Scientist (DS) with outstanding leadership skills, proven ability to build and manage medium-scale modeling projects, identify data requirements, build methodology and tools that are statistically grounded. The candidate will be an expert in the areas of data science, machine learning and statistics, and is comfortable facilitating ideation and working from concept through to execution. Develop and produce balanced technical and business insights that allows our product organization to understand candidate behavior and labor markets, to make product decisions that increase the efficiency of our hiring pipeline and improve candidate experience.

The successful Data Scientist will have extreme bias for action needed in a startup environment. Work across multiple hiring programs and initiatives to un-earth opportunities, design and perform statistical experiments and build analytical systems/tools while striving for simplicity, and demonstrating creativity and judgment backed by statistical proof. Possess high intellectual curiosity with ability to quickly learn new concepts/frameworks, algorithms and technology that powers Amazon high volume hiring. We seek someone who can also demonstrate a high degree of ownership, insist on the highest standards and consistently deliver superior quality results on-time.

Additional Responsibilities include:

• Design and run experiments, research new algorithms, and find new ways to improve hiring analytics to optimize the candidate and associate experience
• Research machine learning algorithms and implement by tailoring to business needs and test on large datasets.
• Partner with scientists, engineers and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our customers.
• Collaborate with BI/Data Engineer teams and drive the collection of new data and the refinement of existing data sources to continually improve data quality
• Foster culture of continuous engineering improvement through mentoring, feedback, and metrics
• Manipulating/mining data from databases (Redshift, SQL Server, Oracle DW, and Salesforce),
• Providing analytical network support to improve quality and standard work results

BASIC QUALIFICATIONS

• Masters with two years of relevant experience or a Bachelor’s degree in Statistics, Mathematics, Operations Research, Economics, Computer Science, Engineering or a related quantitative field with five years of working experience as a Data Scientist
• Experience with statistical analysis, research science, machine learning and deep learning techniques, data modeling, regression modeling, financial analysis, and demand modeling
• Excellent written and verbal communication skills. Strong ability to interact, communicate, present, and influence within multiple levels of the organization.
• Experience in Statistical Software such as R, Weka, SAS, SPSS
• Able to write SQL scripts for analysis and reporting (Redshift, SQL, MySQL)
• Experience using one or more Python, R, Java, C++ VBA, MATLAB, programming languages
• Proficiency with TABLEAU/R Shiny/Dash or other web-based interfaces to create graphic-rich customizable plots, charts data maps etc.

PREFERRED QUALIFICATIONS

• Previous experience in a ML or data scientist role with a large technology company
• Experience in an operational environment developing, fast-prototyping, piloting and launching analytic products
• Experience in writing academic-styled papers for presenting both the methodologies used and results for data science projects.
• Experience with AWS services (Redshift, S3, EC2, Lambda, SNS/SQS, RDS, Aurora) preferred.
• Ability to distill informal customer requirements into problem definitions, quantify improvement in customer experience or value for the business resulting from research outcomes, dealing with ambiguity and competing objectives.
• Demonstrated industry leadership in the fields of Database and/or Data Warehousing, Data Sciences and Big Data processing.
• Familiarity with recruitment, hiring and operations processes used in Amazon fulfillment network.