Job Description

DESCRIPTION Job summary is investing heavily in building a world class Advertising business and at AdPT (Advertising Products & Technology) we are responsible for defining and delivering a collection of performance advertising products that drive di

DESCRIPTION Job summary is investing heavily in building a world class Advertising business and at AdPT (Advertising Products & Technology) we are responsible for defining and delivering a collection of performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and a bias for action. With AdPT you will have the satisfaction of seeing your work positively affect multi-billion dollar advertising business and significantly impact the Amazon vision. You will have opportunities to experiment and innovate, grow your technical skills and work in an environment that thrives on creativity, experimentation, and product innovation. The Analytics & Data Management team (ADM) is seeking an experienced Data Scientist (DS) to lead the team's efforts in machine learning and predictive analytics. The DS will be responsible for establishing the program's capabilities, meeting with key stakeholders to explore the feasibility of applying scientific principles and concepts to key business questions, and ultimately building & implementing the models and analytics to answer those questions. The DS will also be involved in key decision making problems and contribute to technical specifications in coordination with software development and engineering teams. The ideal candidate will be highly skilled in data and statistical methods (e.g. scaling, modeling, algorithms), able to analyze complex datasets, comfortable applying scientific research methods to business problems, and able to create visualizations to describe systems or provide otherwise hard to conceptualize insights. Additionally, the DS must be comfortable operating autonomously in a fast-paced enterprise environment with competing priorities. The successful candidate will work with multiple global Site Leaders, Software Developers, Data Engineers, Product Managers in addition to stakeholders in Sales, Finance, Marketing and Service teams to create a coherent customer view. They will: Create innovative, sophisticated analytic models to address critical issues Develop a strategic vision for the team and organization to leverage data science technology in the most impactful manner Identify and advocate for technical options related to machine learning, data mining, and other statistical approaches Lead technical aspects of experiment design Document feasibility requirements, code comments, and other technical documentation required to transfer knowledge to other technical staff and management Collaborate on developing effective dashboards to surface insights to senior leadership Provide subject matter expertise to software developers and engineers Analyze complex datasets to provide business insights for leadership BASIC QUALIFICATIONS Quantitative Bachelor's degree in Computer Science, Engineering, Math, Finance, Statistics or a related discipline 1+ years of experience as an analyst or scientist in the Data/BI space with hands-on analytics work experience and proven quantitative orientation Proficient with using scripting languages (e.g. SQL, Python, R etc.) and data manipulation/analysis libraries for analyzing and modeling data Fluency with statistical analytics and programming languages such as R, Python, Weka, etc. Ability to distill complex customer requirements into problem definitions, dealing with ambiguity and competing objectives and performing the analysis to drive insights Experience building measures and metrics, and developing reporting solutions Strong troubleshooting and problem solving skills. Strong written and verbal communication skills PREFERRED QUALIFICATIONS Master's degree or higher in Statistics, Data Science, or an equivalent quantitative field 3+ years of industry experience working as a DS or related specialty Experience in Cloud Computing technologies such as AWS SageMaker, EMR Notebooks (Jupyter, Zeppelin), Redshift, S3, etc. Understanding of Big Data concepts like PySpark, SparkR, Spark ML, etc. Experience writing newsletters on results and business impact of analytical deep dives to senior leadership Experience working in a remote setting 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 .