Senior Data Scientist, Decision Science and Technology

2 weeks ago

City of Westminster, United Kingdom Amazon TA Full time
Are you inspired by unique and challenging problems to solve? Do you to have a hyper focus on your customer(s) and like to devise innovative approaches that transform their daily experiences? Amazon is looking for a talented Senior Data Scientist to join our Decision Science and Technology team.

Key job responsibilities
As a Senior Data Scientist in DST, you are proficient in designing and developing advanced science-based solutions to solve diverse customer problems and support a better and safer workplace. The Senior Data Scientist will be working with data, text, images, and other types of data to solve real-world problems through state-of-the-art approaches. They will leverage data science techniques and work closely with Data Engineers and Program Managers to facilitate the integration of data and information from varied source systems, so as to curate, expand, and maintain comprehensive maintenance knowledge bases. They will be working closely with Reliability Maintenance Engineering customers and with other scientists on the team to design and research strategies to integrate domain-specific knowledge and data into existing models and solutions, to provide relevant insights to business stakeholders. They will collaborate with cross-functional teams to develop new approaches making a difference in the daily lives of our customers. They will assess the performance of such approaches and contribute to experimental solutions that efficiently root cause maintenance issues or failures. They will stay at the forefront of advancements in data science and knowledge engineering through proactive participation in researching science and artificial intelligence based solutions.

About the team
The Decision Science & Technology (DST) team works at improving the efficiency of Reliability & Maintenance Engineering (RME) activities, reduce costs, increase safety and promote sustainability while creating frictionless customer experiences.

Our work is articulated around three main programs and their respective goals:

SCIENCE: We develop data driven decision tools for improving reliability and effectiveness of RME activities. We rely on the use of state-of-the-art methods and tools in Operations Research and Machine Learning.

SPARE PARTS: We ensure that RME has the right parts available for maintenance, at the right time, and in the right quantity.

KNOWLEDGE EXPERIENCE & TECHNOLOGY: We develop solutions to proactively connect people to the knowledge they need to perform their work in a more effective and safe way.

We are open to hiring candidates to work out of one of the following locations:

London, GBR
BASIC QUALIFICATIONS - Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
- Experience working as a Data Scientist
- Experience with knowledge engineering, and transforming data into meaningful information and knowledge
- Focus in Natural Language processing (NLP), Machine Learning and Semantic Web/Ontology/knowledge graph
PREFERRED QUALIFICATIONS - Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial (tel:). If calling from Ireland, please dial (tel:).

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