Sr. Data Scientist 659 views

They are seeking an experienced Sr. Data Scientist who will build the experimentation framework and dive deep into complex data sets to identify actionable insights that will maximize the value of their programmatic supply. In this role you will be building an analysis infrastructure to reliably measure offline data and A/B test outcomes using tools and techniques of inferential statistics. You are an analysis expert and a data evangelist who leverages a variety of platforms and analytical tools to extract critical insights from massive data sets.

Responsibilities

• Analyze large disparate data sets to find actionable insights that lead to business decisions and new opportunities
• Proactively and independently work with key stakeholders to translate complex business problems into verifiable hypotheses and use cases using complex, multi-source data
• Execute deep-dive analyses addressing key business issues and present findings to stakeholders
• Communicate complex analytical insights and business implications with a large range of business and technical stakeholders
• Proactively make recommendations for new tests and initiatives to improve key metrics and customer outcomes

Basic Qualifications

• Bachelor’s Degree
• 5+ years of experience with data scripting languages (e.g SQL, Python, R, etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
• 4+ years working as a Data Scientist

Preferred Qualifications

• Knowledge of fundamental statistical concepts for data analysis
• Excellent communication (verbal and written) and interpersonal skills, able to communicate effectively with both business and technical teams.
• Experience extracting, cleansing & manipulating data using SQL and Hive/Hadoop
• Ability to take loosely defined business questions and translate them into clearly defined technical/data specifications
• Experience with BI/data visualization tools
• Knowledge of digital marketing or online advertising a plus

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation/ Age