Data Science and Analytics Manager, Alexa AI

Bellevue, Washington, USA

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Posted 1 week ago

Are you excited and passionate about delivering data science and advanced analytics that directly influence the Alexa user experience? Do you see yourself as a champion of innovating on behalf of the customer by turning data insights into action? Come join Alexa Data Services team as Data Science and Analytics Manager!

Alexa and Echo are shaping the future of voice recognition and cloud-based content/services. Alexa is the name of the Amazon cloud service and the brain that powers Echo. Alexa is the deep learning engine that answers questions, plays music, reads the news and more—instantly. Our goal is to deliver the absolute perfect communication experience to our customers. Alexa Data Services team enables Alexa deep learning by providing Ground-Truth data to the Alexa engine.

Alexa Data Services is seeking a talented and passionate manager in Data Science and Analytics with a strong track record of taking on end-to-end ownership and delivering on large scale solutions in a fast-paced and dynamic business environment. This person will be a creative problem solver who is obsessed with delivering the best customer experience, as well as, a highly analytical, team-oriented individual with excellent communication skills.

This leader is expected to build a world class team, demonstrate thought-leadership and guide the team to make the right scientific or technical trade-offs to meet long term/short-term business needs, and oversee the build of statistical models to understand and growth for core business. You will lead research and drive greenfield invention leading a team of data scientists, business analysts, business intelligence engineers and program managers, while working side by side with our software engineers, applied scientists, product managers, and UX designers. You will be comfortable with ambiguity and enjoy working in a fast-paced and dynamic environment.

This person is accountable for:
(1) Creating a road map of the most challenging business questions from product owners, program managers and senior leadership, and use data to articulate possible root cause analysis and solutions.
(2) Co-create with other scientists within ADS and machine learning experts, and economists across Amazon, to design and run experiments, research new algorithms, and find new ways to improve product and customer analytics, prove incrementality and drive growth.
(3) Partner with stakeholders and internal customer teams to solve business and technology problems using BI metrics and scientific approaches to continue delight both internal customer team and Alexa end customers.
(4) Understanding drivers, impacts, and key influences on business growth dynamics.
(5) Helping to build production systems that take inputs from multiple models and make decisions in real time.
(6) Utilizing Amazon systems and tools to effectively work with terabytes of data.

Basic Qualifications

· Bachelor’s degree (Mathematics, Statistics, Engineering, Computer Science).
· 7+ years leading and delivering data analytics and statistical solutions with experience in econometric modelling, metrics defining and reporting, exploratory data analysis, choice modeling, time series, or natural language processing, dialogue systems, information retrieval
· Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objective.

Preferred Qualifications

· Master/Ph.D degree in Statistics, Economics, Marketing, Management or related field.
· 2+ years of experience managing Business Analysts, Business Intelligence Engineers, Data Scientists and/or Economists
· Skilled with SQL, as well as with R, SAS, MATLAB, Python or similar scripting language

Job tags: AI Business Intelligence Data Analytics Deep Learning Economics Engineering Machine Learning Marketing Matlab Python R Research SQL UX
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