Senior Data Scientist - AWS Pinpoint

Are you passionate about the intersection of cloud computing, Big Data, mobile applications, and digital user engagement?


We are looking for senior data scientists who long for the opportunity to be a founding member of the data science team for Pinpoint. You will get a unique opportunity to partner with product and engineering to define the data science roadmap - diving deep to understand our customer needs and make sense of their end-user behavior to surface intelligent insights.

You will build next generation cloud technologies that leverage big data and machine learning to improve user engagement with mobile apps and web applications. The insights you surface and machine learning models you create will help the world’s leading social media, gaming, sports, educational, and consumer applications.

What does it take to succeed in this role?
The successful Data Scientist will have extreme bias for action needed in a startup environment, with outstanding leadership skills, proven ability to build and manage medium-scale modeling projects, identify data requirements, build methodology and tools that are statistically grounded.


We are seeking someone who can thrive in a fast-paced, high-energy and fun work environment where we deliver value incrementally and frequently. We value highly technical people who know their subject matter deeply and are willing to learn new areas. We look for individuals who know how to deliver results and show a desire to develop themselves, their colleagues, and their career.

Our customers are innovators, and you will have the chance to work with them to understand their challenges and design new offerings. Together, we’ll shape not just our own products, but the direction of the industry.


About Pinpoint
Amazon Pinpoint makes it easy to run targeted campaigns to improve user engagement. Pinpoint helps you understand your users’ behavior, define who to target, what messages to send, when to deliver them, and tracks the results of the campaign. Pinpoint enables real-time analytics with dashboards for analyzing user engagement, monetization, user demographics, custom events, and funnels so you can understand how users engage with your application.

Learn more about our business at https://aws.amazon.com/pinpoint/

Basic Qualifications

· Master’s degree with 5 years relevant experience in a highly quantitative field (Machine Learning, AI, Computer Science, Statistics, Mathematics, Operational Research, etc.), or equivalent professional or military experience working as a Data Scientist.
· Hands-on industry experience in predictive modeling and analysis, as an ML engineer or data scientist role, applying various ML techniques, and understanding the key parameters that affect their performance.
· Experience with R, Weka, SAS, SPSS, Matlab or other statistical/machine learning software.
· Proficient with using scripting language such as Python and data manipulation/analysis libraries such as Scikit-learn and Pandas for analyzing and modeling data.
· Experienced in using multiple data science methodologies to solve complex business problems (e.g. statistical analysis, research science, machine learning and deep learning techniques, data modeling, regression modeling, financial analysis, demand modeling, etc.).
· Experienced in handling terabyte-sized data sets, diving into data to discover hidden patterns, using data visualization tools, using SQL and databases in a business environment.
· Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives.
· Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives.
· Proven ability to communicate verbally and in writing to technical peers and leadership teams with various levels of technical knowledge, educating them about our systems, as well as sharing insights and data-driven recommendations.

Preferred Qualifications

· A PhD degree in a highly quantitative field (Machine Learning, AI, Computer Science, Statistics, Mathematics, Operational Research, etc.), or equivalent professional or military experience working as a Data Scientist.
· 10+ years’ experience in a ML or Data Scientist role with a large technology company.
· Extensive knowledge and practical experience in several of the following areas: machine learning, statistics, NLP, deep learning, recommendation systems, dialogue systems, information retrieval, XGBoost, LightGBM, ElasticNet.
· Skilled with Java, C++, or other programming language, as well as Python or similar scripting language.
· Functional knowledge of AWS platforms such as S3, Glue, Athena, Sagemaker.
· Experience taking a leading role in building complex software systems that have been successfully delivered to customers.
· Advanced knowledge and expertise with Data modelling skills, Advanced SQL with Oracle, MySQL, Redshift and Columnar Databases.
· Demonstrated industry leadership in the fields of Database and/or Data Warehousing, Data Sciences and Big Data processing.
· Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
· Experience with distributed computing and enterprise-wide systems.
· Experience in communicating with users, other technical teams, and senior management to collect requirements, describe software product features, technical designs, and product strategy.
· Experience mentoring junior software engineers to improve their skills, and make them more effective, product software engineers.
· Experience working in an Agile/Scrum environment.
· A sense of humor
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.