nlp

Data Science at Tessian

Our mission is to secure the human layer. This involves deploying near real-time machine learning models at massive scale to some of the world’s largest organisations to keep their most sensitive data private and secure. To do this, we're looking for a senior data scientist with NLP experience ready to work on hard problems, drive best practice and cultivate an environment of experimentation and learning. Companies can leverage data science in a number of ways, and we think the role of a Data Scientist falls into three distinct categories:

1) You work for a business function analysing & reporting on how to improve a key metric, e.g increasing user conversion

2) You are responsible for writing production models to enhance the main product, e.g recommendation systems for e-commerce

3) You are the product - without machine learning, it wouldn't exist

The Data Science team built the product at Tessian. We couldn't exist without our machine learning models; it’s at the heart of what we do, and it’s what our clients rely on day-to-day. We're searching for a Lead NLP Data Scientist who is excited about the opportunities and challenges that come with researching, building and deploying real-time production models. In this role you'll get to:

• Work across massive enterprise email datasets
• Deploy models to production that impacts directly our customers and products
• Improve our ML workflow
• Collaborate with engineering and product leaders to develop a product suite that is continually detecting more advanced threats for our customers
• Make your mark on leading ambitious projects
• Mentor and knowledge share with data scientists at Tessian

We'd love to meet someone who:

• Has 6+ years Data Science experience
• Has strong NLP experience (in production)
• Has worked with, or understands the principles behind working with data at scale
• Can balance longer term projects alongside impactful quick wins
• Cares deeply about the impact their team hasIs a creative at heart, and can encourage novel ways of thinking in their team. This has always been a core part of the data science team’s DNA
• Reads Rules of Machine Learning - Martin Zinkevich and it resonates with how they think about machine learning and data science