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Sr. Data Scientist , Alexa Mobile Intelligence team

Job ID: 1747830 | Services LLC


Job summary
The Amazon Alexa app is a companion to Alexa devices for setup, remote control, and enhanced features. The Alexa app understands a customer’s habits, preferences and delivers a personalized experience to help them manage their day by providing relevant information as customers want it. We believe voice is the most natural user interface for interacting with technology across many domains; we are inventing the future. As voice-enabled technology becomes increasingly advanced, consumers are demanding more from what their voice products can do. We’re looking for Scientists who are passionate about innovating on behalf of customers, demonstrate a high degree of product ownership, and want to have fun while they make history.
As an Senior Data Scientist, you will help build a production scaled personalized recommendation and lead the team to build Machine Learning (ML) and Deep Learning (DL) models to help derive business value and new insights through the adoption of Artificial Intelligence (AI).

Key job responsibilities
The successful candidate will be responsible for distilling user data insights for ML science applications and influence business decision with data-driven approach to increase Alexa mobile engagement and growth. A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions.
· Define the long-term development, science and business strategies for the team.
· Expertise in the areas of data science, machine learning and statistics.
· Translate business needs into advanced analytics and machine learning models and provide strong algorithm and coding execution and delivery of Machine Learning & Artificial Intelligence.
· Work closely with the engineers to architect and develop the best technical design and approach.
· Being able to dive a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization.
· Analyze, extract, normalize, and label relevant data.
· Work with Engineers to help our customers operationalize models after they are built.

A day in the life
· Design and review mobile experiments for growth and engagement
· Build statistical models and generate data insights to understand mobile growth and retention
· Feature engineering to improve ML model performance.
· Analyze, extract, normalize, and label relevant data.
· Work with Engineers to deploy applications to production
· Work with product manager to convert business problems to science problems and define the solutions.

About the team
Alexa Mobile Intelligence team is motivated to make Alexa mobile app being the best intelligent assistant and providing personalized relevant features and content by understanding customers' habits, preferences, hence will reach high growth and retention for the app.


· Phd or Masters in a highly quantitative field (Computer Science, Machine Learning, Informatics, Operational Research, Statistics, Mathematics, etc.) or equivalent experience
· 10+ years of industry experience in predictive modeling, data science and analysis
· Experience with using data visualization tools, handling terabyte size datasets and working with GPUs to develop models
· Experience with Python, R, Scala, SQL and one of the advanced Deep Learning, RL or AI libs like TensorFlow and PyTorch
· Experience leading teams developing ML and DL models and working with Product and partner teams.
· Experience with writing and speaking about complex technical concepts to broad audiences in a simplified format.
· Recognized technical expertise includes but not limited to publications, editorial and advisory boards, conference/symposium presentations, patents, professional peer recognition and strategically important developments, innovations, or technical contributions
· Demonstrated experience in mentoring and coaching interns, and junior technical contributors.


· Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
· Track record of diving into data to discover hidden patterns
· Combination of deep technical skills and business savvy enough to interface with all levels and disciplines within our customer’s organization
· Experience with AWS technologies like Redshift, S3, EC2, Data Pipeline, & EMR
· Publications or presentation in recognized Machine Learning, Deep Learning and Data Mining journals/conferences
· Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
· Good skills with programming languages, such as Java, python or C/C++

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