Easter Seals Jobs

Description

We are seeking a Senior Applied Scientist to join the Selling Partner Communities (SPC) Science team. Our team is responsible for designing and developing scalable machine learning solutions to help solve some of the biggest challenges facing our selling partners. We leverage ML in production to personalize the seller experience, ensuring they can quickly find high-quality content from their community as well as content we generate. We use generative models to guide impactful content creation for our selling partners. We apply accurate and appropriate scientific techniques, built to scale, that directly improve the experience and perception of our selling partners globally. We drive strategic business impact and empower data-driven decision-making. Our team of scientists extracts actionable insights from large, complex datasets to influence critical product decisions, develop innovative machine learning models, and deploy cutting-edge solutions that directly support our selling partners.

As a Senior Applied Scientist, you will play a pivotal role in shaping the future of our selling partner communities ecosystem. You will collaborate closely with senior leadership and cross-functional stakeholders to understand business needs, identify high-impact opportunities, and develop novel machine learning approaches to address them. You will design and develop sophisticated ML models, work closely with data engineers to build scalable data pipelines, and collaborate with Software Engineers to deploy and integrate impactful ML-based solutions that deliver high value to our selling partners and customers.

Key job responsibilities

• Collaborate cross-functionally with stakeholders to define requirements, establish success metrics, and deliver high-quality ML-based solutions.

• Design and develop advanced NLP capabilities using large language models and approaches such as sentiment analysis, named entity recognition, information extraction, topic modeling, and text classification. Extract insights from these techniques to identify emerging trends, surface customer pain points, and inform product and service enhancements.

• Extract insights using causal modeling, A/B testing, time series analysis, and impact analysis to uncover relevant patterns from large datasets. Leverage these insights to optimize key performance metrics through data-driven solutions.

• Establish scalable, efficient, and automated processes for data acquisition, processing, model development, validation, and production deployment.

• Continuously research and evaluate novel Machine Learning, Natural Language Processing, and Statistical techniques to enhance current solutions and deploy more effective ones.

• Work closely with data & software engineering teams, as well as business stakeholders, to build model implementations and seamlessly integrate successful models and algorithms into production systems at scale.

About the team

The Selling Partner Communities (SPC) team's mission is to ensure every Selling Partner, regardless of their size, tenure, or location, is satisfied with their experience selling on Amazon. We listen to our selling partners and look holistically at the seller experience to identify opportunities that will make selling on Amazon even more delightful. We also help build lasting connections with and among our selling partners, to drive their success. Our vision is to be the most seller-centric online global community, creating destinations for knowledge, news, inspiration, and celebration.

Basic Qualifications

• 5+ years of building machine learning models for business application experience

• PhD, or Master's degree and 5+ years of applied research experience

• Experience programming in Java, C++, Python or related language

• Experience with neural deep learning methods and machine learning

Preferred Qualifications

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.

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 https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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.