Sr. Data Scientist, AR - Manipulation

Minimum Qualifications:5+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experienceMaster's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 8+ years of professional or military experienceExperience with statistical models e.g. multinomial logistic regressionAbout Amazon Robotics:Amazon Robotics develops state-of-the-art robotics solutions to power Amazon's world-class Fulfillment Operations, which handle more single items than any other company. Our collaborative team is at the forefront of building automated manipulation products to handle and process packages and singular items.Role Overview:As a Data Scientist in the team, you will play a crucial role in driving data-powered decision making. Your main focus will be:Developing predictive models and simulations to analyze complex, large-scale datasets and uncover insights to improve customer experience, cost efficiency, capital investment effectiveness, and automation utilization.Creating compelling data visualizations that communicate end-to-end system performance and identify optimization opportunities.Establishing robust data analysis frameworks and KPIs to quantify the impact of your solutions and evaluate tradeoffs between potentially contending goals.Collaborating cross-functionally with engineering, operations, and business stakeholders to understand their needs, translate them into data-driven projects, and deliver impactful results.We're looking for an experienced, self-directed Data Scientist with a strong background in machine learning, data mining, and statistical analysis. You should have excellent problem-solving skills, the ability to work autonomously, and an enthusiasm for leveraging data to drive meaningful business outcomes.Preferred Qualifications:Experience managing data pipelinesExperience as a leader and mentor on a data science teamAmazon 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 .

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