PM, Science Annotation

Amazon

Bellevue, WA

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JOB DETAILS

SKILLS

Algorithms, Analysis Skills, Coaching, Continuous Improvement, Cross-Functional, Data Analysis, Data Modeling, Data Science, Leadership, Logistics Processes, Machine Learning, Mentoring, Metrics, Microsoft Access Database, Multitasking, Performance Analysis, Performance Management, Performance Metrics, Performance Modeling, Performance Tuning/Optimization, Problem Solving Skills, Process Development, Process Improvement, Process Management, Product Lifecycle, Project/Program Management, Quality Management, Quality Metrics, Rentals, Requirements Management, SQL (Structured Query Language), Service Delivery, Six Sigma DMAIC, Software Engineering, Sustainability, Team Building, Team Lead/Manager, Technical Operations, Time Management, Training Data Sets, Training/Teaching, Writing Skills

LOCATION

Bellevue, WA

POSTED

3 days ago

Description In the Worldwide Returns, ReCommerce & Sustainability (WW RR&S) group at Amazon, we are dedicated to 'making zero happen' - zero cost of returns, zero waste, and zero defects - to benefit our customers, company, and environment. We are an agile and inclusive organization that constantly innovates to create long-term value by investing in our people and our planet, not simply focusing on the bottom line. WW R&R includes business, product, operations, data, and software engineering teams, who together manage the lifecycle of returned and damaged products. In WW R&R, you will partner across these teams to help customers discover great deals on quality used, rentals, and open box items; get the most value out of Amazon's products; improve the customer returns experience; and reduce defects, waste, and cost in reverse logistics processes. You will be a leader, a builder, and an owner, collaborating cross-functionally with technical, operations, and business teams to design scalable and automated solutions to customer problems. Amazon is Earth's most customer-centric company and in WW R&R, the Earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns, ReCommerce & Sustainability team! We are hiring an experienced Program Manager who will lead annotation program and support a team of Catalog Specialists to contribute to the development and enhancement of machine learning models. In this role, you will support the catalog specialists associates and will be responsible for the process development, annotation model performance, and engagement. The role expects your team to be your exclusive focus and you will be tasked with supporting your team and removing any barriers that prevent them from delivering high-quality annotated datasets that will train and improve models. You will work closely with our product, technology and science teams to support new Machine Learning (ML) models and data science classification algorithm development-all helping to delight our customers through new experiences throughout their Amazon shopping journey. The ideal Program Manager understands that supporting their team is the most critical role they perform for smooth delivery of annotations. To achieve this, they are open and approachable, engage with their people individually to understand how to most effectively coach and motivate them and invest time in developing their people to become legends! They build a work environment where the team is engaged and feel a positive sense of achievement about their role in delivering world class service. As a leader, you will be an expert in articulating the Amazon mission and deeply understand the expectations of the annotations we expected the team to deliver; you will ensure your people understand the important role they play and how their role supports the Amazon virtuous cycle. Key job responsibilities - Process / Program Management (leadership, stakeholder management, team management) - Formulate, Implement, track career path & Individual Development Plans of each member in the team - Metrics Management through regular reviews and delivering specific metric goals against targets - Mentor and guide Catalog Specialists to manage their performance metrics (productivity, quality, improve process efficiency, conceptualize, design and deliver trainings to the team) - Manage the team and ensure high service delivery and execution - Work closely with our product, technology, and science teams to support Machine Learning (ML) models - Support data scientists in the development of classification algorithms - Collaborate with cross-functional teams to ensure data annotation tasks align with project objectives and timelines - Maintain high-quality standards for annotated data to optimize model performance - Continuously evaluate and improve annotation processes to enhance efficiency and accuracy - Strong analytical skills and the ability to deep-dive on complex problems - Ability to manage multiple simultaneous projects requiring frequent communication, organization/time management and problem-solving skills Basic Qualifications - 2+ years of program or project management experience - Bachelor's degree or equivalent - 2+ years of data analysis experience Preferred Qualifications - Knowledge of Lean principles and DMAIC methodology - Experience in MS Access and SQL - Experience in requirement gathering and ability to write clear and detailed requirement document 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, BELLEVUE - 80,200.00 - 97,400.00 USD annually USA, WA, Bellevue - 80,200.00 - 97,400.00 USD annually

About the Company

Amazon

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

COMPANY SIZE

10,000 employees or more

INDUSTRY

Other/Not Classified

FOUNDED

1994

WEBSITE

http://Amazon.com/militaryroles

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