Jobs for People with MS: National MS Society

Description

The Selling Partner Communities (SPC) team’s north star vision is to ensure every selling partner (SP) is satisfied with their experience selling in the Amazon store. We look holistically at the seller experience through the voice of the seller – both in conversations they have directly with Amazon, and each other, to identify opportunities to improve the SP experience.

As the Applied Science Manager, you will own and drive the science team's charter, working backwards from seller problems and product strategy to develop a long-term science vision and plan. You will guide your team in creating and deploying sophisticated algorithms and models that drive measurable improvements in seller experience and business metrics. This includes enhancing our Seller Forums, Seller News, Strategic Seller Communications, Amazon Seller Social Media presence, and our flagship Accelerate conference.

A successful candidate is also passionate about driving innovation and shaping the future of seller communities, with the ability to operate like a startup within Amazon - moving quickly, experimenting rapidly, and adapting to changing business needs. You should be comfortable spearheading the development of innovative, ML, LLM and generative AI-driven solutions, and be a trusted partner who can energize our cross-functional team of scientists, engineers, product and business leaders to persevere through challenges and achieve impactful results on behalf of our selling partners.

Key job responsibilities

Lead Science Vision and Roadmap – Own and drive team charter, working backwards from customer problems and product strategy, to develop a long-term science vision and plan, team tenets, and contribute to organizational working backwards documents (e.g. press release, FAQs).

Execution of Science Roadmap – Develop mechanisms that enable team to collaborate on research, deliver independently, and integrate with e2e process and upstream and downstream technology and business dependencies. Insist on a high bar for deliveries with monitoring and audit mechanisms for your team's solutions.

Lead Science Brand – Work with Product and Tech leaders to expose and accelerate science innovation internally and to other organizations.

Hire, develop and nurture scientists - Grow and develop scientists, both direct reports and others in organization, in not just hard science and technical skills and competencies, but also leadership principles and collaborations with other scientists and project team members to grow their ability to increase scope, impact and influence at Amazon.

Basic Qualifications

• 3+ years of scientists or machine learning engineers management experience

• 3+ years of building machine learning models or developing algorithms for business application experience

• Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field

• Knowledge of ML, NLP, Information Retrieval and Analytics

• Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations

• Experience communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs

Preferred Qualifications

• Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers

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.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $165,500/year in our lowest geographic market up to $286,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.