Applied Scientist, EU INTech PGX

Amazon; Piemonte; Ibrido; EUR 80.000 - 120.000; Tempo pieno

Descrizione del lavoro

Amazon is seeking an Applied Scientist for EU INTech PGX to design and optimize NLP-driven experiences for Selling Partners and Amazon teams. You will build algorithms and leverage ML to automate partner-facing workflows, while preserving human judgment where needed.

You will work with AI/ML models, big data, and scalable systems across the Selling Partner ecosystem. You will collaborate with senior scientists, engineers, and product managers to deliver end-to-end solutions that impact customers

Competenze

• Experience programming in Java, C++, Python or related language.
• Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse.

Mansioni

• Perform hands-on data analysis and modeling with large data sets to develop insights that improve partner-facing experiences.
• Develop novel algorithms and modeling techniques to advance AI and NLP for selling partners and customers.
• Run experiments (A/B) and evaluate impact of optimizations.
• Collaborate with scientists, software engineers, and product managers to design end-to-end solutions.
• Communicate results to business stakeholders to drive decisions.
• Monitor data quality and set up alarms to detect anomalous patterns; perform root cause analyses.

Conoscenze

Java

Python

C++

SQL

Descrizione del lavoro

The EU International Technology (EU INTech) charter for Partner Growth and Experiences (PGX) is established to deliver coherent and personalised experiences for Selling Partners (SP) and Amazon teams, enabling them to manage their business growth across Amazon WW stores as a single-store experience, benefiting Amazon customers by accelerating Amazon flywheel. Our mission is to delight Customers and enable long-term success of Selling Partners by building the most trusted shopping experiences and a suite of services, tools and experiences that drive efficiency, growth and transparency for both, our Selling Partners and internal Retail teams, throughout their selling journey and across regions. PGX is looking for a passionate, talented, and inventive Applied Scientist with machine learning background to help build and/or enhance our partner facing experiences and make it efficient and less human dependent. Our mission is to provide a delightful experience to Amazon’s selling partners by pushing the envelope in Natural Language Processing (NLP) and use human judgement when it is absolutely necessary, through leverage of Machine Learning (ML) and Aritifical Intelligence (AI) across the experiences we own. As a Applied Scientist with PGX, you will work alongside recognized experts and business stakeholders to develop novel algorithms and modeling techniques to advance the state-of-the-art in AI and human language technology. Your work will directly impact both our end customers and selling partners, in the form of products and services that build or own. You will gain hands on experience with Amazon’s AI and ML solutions and models, structured data sources, and large-scale computing resources to fully automate our selling partner facing experiences and use human judgement when it is absolutely required. We are looking for AS with experience/expertise/exposure in building large-scale high-performing systems.

Key job responsibilities

As a Applied Scientist with PGX, you will work alongside recognized experts and business stakeholders to develop novel algorithms and modeling techniques to advance the state-of-the-art in AI and human language technology. Your work will directly impact both our end customers and selling partners, in the form of products and services that build or own. You will gain hands on experience with Amazon’s AI and ML solutions and models, structured data sources, and large-scale computing resources to fully automate our selling partner facing experiences and use human judgement when it is absolutely required. We are looking for AS with experience/expertise/exposure in building large-scale high-performing systems.

A day in the life

1. 1. Perform hands-on data analysis and modeling with large data sets to develop insights that increase device usage and customer experience
2. 2. Use a broad range of data structures and algorithms to quantify business impact and develop offline code for new stats or applications
3. 3. Run A/B experiments and evaluate the impact of their optimizations
4. 4. Work closely with other scientists, software development engineers as well as program and product managers to design experiments and implement end-to-end solutions.
5. 5. Communicate their results to various business stakeholders.
6. 6. Set up and monitor alarms to detect anomalous data patterns. Perform root cause analyses to explain and address anomalous data patterns.

About the team

EU INTech PGX's mission is to delight Customers and enable long-term success of Selling Partners by building the most trusted shopping experiences and a suite of services, tools and experiences that drive efficiency, growth and transparency for both, our Selling Partners and internal Retail teams, throughout their selling journey and across regions.Amazon’s Partner Growth Experience team, you will assume advanced ownership of designing, developing, and evolving mission-critical systems that empower Amazon’s Selling Partners at scale. This Applied Science role builds upon foundational engineering excellence to drive strategic leadership, ensuring solutions align with Amazon’s long-term vision for partner enablement and marketplace growth.

Basic Qualifications

• - Experience programming in Java, C++, Python or related language
• - Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse

Preferred Qualifications

• - Experience implementing algorithms using both toolkits and self-developed code
• - Have publications at top-tier peer-reviewed conferences or journals

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.