Data Scientist II, Funnel Insights

Seattle, Washington, USA

Full Time
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Posted 3 weeks ago

Amazon’s mission is to be the most customer centric company in the world. The vision of Workforce Intelligence is to design the ideal workforce to meet the customer promise anywhere. This organization leads and influences global workforce strategies that enable Amazon to scale operations more efficiently while also providing a unique voice for the hourly workforce. This is accomplished through a variety of science driven initiatives, experimentations, ML driven modeling, and data engineering. Amazon’s mission is to be the most customer-centric company in the world and we are on the front lines of that mission by providing robust research, data science and analytics to fill our jobs across the globe.

As a Data Scientist (DS) in Funnel Insights Team in Workforce Intelligence, you will work closely with a cross-functional team, including program and technical leaders throughout Workforce Staffing organization and will be responsible to initiate, build, and manage medium-scale modeling projects. You will design and lead experiments. You will identify data requirements, build methodology and tools that are statistically grounded. You will develop and produce actionable insights that allows our staffing teams to uncover opportunities to improve hiring funnel conversions. You will provide data-driven solutions that increase the efficiency of our hiring pipeline and improve candidate experience. The successful candidate will be a problem solver who enjoys diving into data, is excited by data driven decision making through experimentations, and possesses strong communication skills to effectively interface between technical and business teams.

Key responsibilities include:
· Design and and implement AB testing framework to run experiments
· Provide insights by analyzing historical data from databases (Redshift, SQL Server, Oracle DW, and Salesforce)
· Create experiments and prototype implementations of new learning algorithms and prediction techniques.
· Collaborate with engineering teams to design and implement software solutions for science problems.
· Provide analytical network support to improve quality and standard work results
· Research and build machine learning algorithms that improve hiring funnel efficiency at scale

Basic Qualifications


· Bachelor or Master's degree in highly quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience.
· 3+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
· 2 years working as a Data Scientist
· Experience with observational study design and analysis
· Experience with AB/multivariate testing framework and case control experiment design
· Experience in hypothesis testing (including statistical hypothesis testing) and experimental design
· Experience developing experimental and analytic plans for data modeling processes, use of strong baselines, and the ability to accurately determine cause and effect relationships.
· Experience applying various machine learning techniques, and understanding the key parameters that affect their performance.

Preferred Qualifications

· Demonstrated ability to thrive in ambiguous environments by driving the strategy rather than waiting for a strategy to drive you
· Excellent writing skills
· Ability to turn complex problems into simple solutions
· Ability to self-direct, multitask, and prioritize a constantly evolving workload.
· Four or more years of industry experience
· Track record of innovation and strategic impact across teams
· Executive-facing verbal and written communication and data presentation skills
· Project Management experience
· Advanced SQL, data modeling, data mining (SQL, ETL, data warehousing)
· Proven ability to influence change strategies with data

Job tags: Data Mining Data Warehousing Engineering ETL Machine Learning Matlab ML Oracle Python R Redshift Research SQL
Job region(s): North America
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