Our company is expanding and is looking for a Data Scientist Lead to bolster the strength of our Engineering team. We are a team of developers, data engineers and data scientists focusing on the internals of S-Ray from data ingestion to calculation and delivery, as well as a number of platforms and tools that help us to collect and make sense of sustainability data.
As a Data Scientist Lead, you love to be hands-on with the development projects, but are also an inspiring mentor to our associates. A key responsibility includes improving our product offering by building a set of highly available and scalable production models with a strong focus towards Natural Language Processing. You will be responsible in making our Engineering team more efficient by researching and implementing new techniques and methods. Additionally, you will be involved in setting up and maintaining additional cloud infrastructure to support the architecture required to serve our production model-dependent applications.
- 5+ years or more of experience working in the machine learning field, building AI/ML-based products/platforms/solutions. - A focus on NLP and Deep Learning is a plus, especially transformers and saliency/feature attribution method. - Experience developing sizeable production-grade, performant, scalable applications in Python - Experience working with cloud computing technologies, including training models in the cloud and web-services - Experience designing (and interfacing with) both SQL and NoSQL databases; knowledge of graph databases is a plus