Data Scientist, Alexa Shopping

Key Skills

Java Programming, Analytical and Problem solving, Python Programming, Database, SQL, Agile methodologies, Machine learning techniques, Data science techniques, MATLAB Programming, R Programming, SAS, Large data sets

Job Description

Our vision is for Alexa to become the go-to shopping companion for customers throughout every aspect of their shopping journey. Whether they’re looking for help restocking household essentials, selecting a gift, or discovering their next great read – Alexa uses AI to make every part of the shopping journey more convenient. For example, Alexa can save customers time by capturing their in-the-moment shopping needs at home and on the go, organizing them and providing reminders for things they need so they can complete their shopping efficiently and avoid extra trips to the store. We recognize that no two customers have the same shopping needs, and we are constantly innovating to make shopping more convenient for all customers – providing lower prices, better selection and convenient services that will make their experience seamless online or in-store.

We are seeking a Data Scientist to be part of a new team to build a new confidential product from inception to launch. We’re looking for people who innovate, love solving hard problems, and never take “no” for an answer. You will work hard, have fun, and of course, make history! This is a strategic role to shape and deliver our technical strategy in developing new product space leveraging different Data and Machine Learning solutions to rightly identify and solve hardest customer facing problems. We're a high energy, fast growth business excited to have the opportunity to shape Alexa Shopping products for years to come. If this role seems like a good fit, please reach out, we'd love to talk to you.

This role requires working closely with business, engineering and other scientists within Alexa Shopping and across Amazon to deliver ground breaking features. You will lead high visibility and high impact programs collaborating with various teams across Amazon.

BASIC QUALIFICATIONS

• Bachelor's Degree
• 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
• Bachelor or Master's degree in highly quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience.
• Experience applying various machine learning techniques, and understanding the key parameters that affect their performance.
• Experience developing experimental and analytic plans for data modeling processes, use of strong baselines, and the ability to accurately determine cause and effect relationships.
• Have a history of building systems that capture and utilize large data sets in order to quantify performance via metrics or KPIs.
• Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.* Experienced in using multiple data science methodologies to solve complex business problems.
• Experienced in handling large data sets using SQL and databases in a business environment.
• Excellent verbal and written communication.
• Strong troubleshooting and problem solving skills.
• Thrive in a fast-paced, innovative environment.

PREFERRED QUALIFICATIONS

• Master's degree in Statistics, Applied Math, Operations Research, Economics, or a related quantitative field with at least 2+ years of working experience as a Data Scientist.
• Experienced in writing academic-styled papers for presenting both the methodologies used and results for data science projects.