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Head of Analytics and Data Science

Head of Analytics and Data Science

Job ID 
454342
Location 
US-WA-Seattle
Posted Date 
10/17/2017
Company 
Amazon Corporate LLC
Position Category 
Project/Program/Product Management--Technical
Recruiting Team 
..

Job Description

At Amazon, we're always working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. We are looking for a dynamic, organized, and customer-focused analytics, data science and machine learning leader who is interested in guiding key business decisions for one of Amazon’s key business verticals, Kindle Content. This position will work closely with senior management and manage a team that supports the worldwide Kindle Content organization by producing and delivering metrics, data, models and strategic analyses.
As the leader of the Analytics & Data Science team, you and your team of business analysts and data scientists will be working in one of the world's largest and most complex data warehouse environments. You should be passionate about working with huge datasets and be someone who loves to bring data together to answer complex business questions that deepen our understanding of our customers. You will lead the development of statistical and machine learning models and work closely with our engineering team to implement analytically intensive solutions designed to improve the success of the Kindle Content business and delight our customers. You will contribute to the company’s intellectual property and will be accountable for the quality, accuracy, and adoption of the analytical solutions your team develops.

This role requires an individual with excellent team leadership skills, outstanding business acumen, and the ability to work across Product Management, Marketing, Engineering, Finance, and Content teams, as well as country specific business leads to drive business outcomes. We are looking for a leader who is a self-starter comfortable with ambiguity, demonstrates strong attention to detail, and has the ability to work in a fast-paced and ever-changing environment.
Key Responsibilities include:
  • Experience leading and developing a team of business analysts.
  • Experience managing a team of Applied Scientists who develop robust and scalable Machine Learning models to solve business and customer problems.
  • Working with functional business leaders to build scalable processes and metrics.
  • Developing a long term analytical strategy and driving the implementation of that strategy.
  • Using analytics to influence multiple departments, increasing their productivity and effectiveness to achieve strategic goals.
  • Create and deliver reporting, critical for tracking and managing the business, including weekly, monthly, and quarterly operational metric reports.

Basic Qualifications

  • Master’s degree in Math, Computer Science, Engineering, Finance, Statistics, or related technical field.
  • Proven Analytics Thought Leader with experience leading and growing world class analytics and data science teams
  • 10+ years of professional experience, and passion for, working with large data sets plus deep experience in statistical analysis, advanced modeling techniques, data mining and business analysis. 3+ years managing teams of 4 or more.
  • Ability to attach complex business questions with data and curiosity to dive deep, identifying the root cause and “so what” rather than just the trends.
  • Ability to thrive in an environment that is tasked with providing data-driven decision support and business intelligence that is timely, accurate and actionable.
  • Ability to effective prioritize projects, manage multiple competing priorities simultaneously and drive projects to completion under tight deadlines
  • Experience in data mining using databases in a business environment with large-scale, complex datasets.
  • Proven track record of strong verbal/written communication & data presentation skills, including an ability to effectively communicate with both business and technical teams across the world.

Preferred Qualifications

  • Ability to think big, understand business strategy, provide consultative business analysis, and leverage technical skills to create insightful, effective BI solutions
  • Experience with customer segmentation and customer behavior analysis.
  • Hands on experience in SQL, Excel, Linux and OLAP, SAS, R and/or Python (data extraction, manipulation, statistical analysis and predictive modeling).
  • Experience in Machine learning (decision trees, multivariate and logistic regression, kNN, kMeans, etc.).
  • Experience with data visualization software such as Tableau.