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 4+ 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
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