Manager III, Data Science, Software Research and Data Science

Amazon • North Reading, MA • 1d ago

Description

Amazon Robotics Software Research and Data Science team is looking for an analytical, innovative, hands-on and customer-obsessed Manager of Data Science to lead and support a team of Data Scientists, and Data Engineers. In this role you will have the opportunity to define multi-year science strategies to support a wide range of problems in Software Qualification, Production Testing and System Optimization/Deep Dive. You will lead the application and production of a wide range of models (statistical models, computer vision, GenAI) for core SW team in a fast-paced operations environment. This people leader will own forecasts and analytics for system performance, and will develop optimization and forecasting expertise across the core SW team, and methodically expand the team's domain expertise over a wide range of science areas. The ideal candidate will be skilled at building scalable self-service analytics and science infrastructure and can lead a team to productize ML solutions, including managing infrastructure as code and developing MLOps. The right candidate will have experience building teams and growing individuals.

In this role you will work in an ambiguous environment where you have the opportunity to influence organizational strategy, and develop and lead execution strategy for scientific solutions. You will define a path of research and execution.

This Data Science Manager (DSM) will lead and support a cross functional team of scientists and engineers to investigate and develop strategies and concepts to frame a solution set and enable detailed scientific solution design. You bring strong problem-solving capabilities to isolate, define, resolve complex problems, and implement effective solutions. The right candidate for this DSM role must be technically competent and build cross-functional support within the organizations, and with customers. A successful DSM candidate will be able to assess a business problem, define baseline metrics, and support an iterative scientific solution paths that balance delivering results for operations customers, while maintaining focus on long-run science roadmaps.

This candidate is expected to understand science methodologies for a wide range of data @types; text, images, and numerical. You will bring enough subject matter expertise to ensure that data collected as part of robotics systems is properly captured, structured, and stored. You are able to communicate all steps of the scientific process to the technical team and to the business stakeholders. An effective candidate is able to understand how to deploy science models into service based application frameworks and seeks opportunities to embed science models in to new and existing products.

A day in the life

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

Medical, Dental, and Vision Coverage

Maternity and Parental Leave Options

Paid Time Off (PTO)

401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!

Basic Qualifications

5+ years of building quantitative solutions as a scientist or science manager experience

2+ years of scientists or machine learning engineers management experience

5+ years of applying statistical models for large-scale application and building automated analytical systems experience

PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field

Knowledge of Python or R or other scripting language

Preferred Qualifications

Experience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection)

Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

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