Remote (ability to work from Plymouth or London is desirable).
£60-£80k pa (if UK based)
Head of Data Science.
Develop and own the Natural Language Processing inside our contextual targeting engine. Applying best in class techniques to iteratively improve the accuracy of our text classification.
Silverbullet is the new breed of data-smart marketing services, designed to empower businesses to achieve through a unique hybrid of data services, insight-informed content and programmatic. Our blend of machine learning and human experience provides the knowledge to power our client’s marketing transformation.
The role will be to work as part of the data science effort on 4D (launch4d.com). This revolutionary approach to contextual targeting leverages machine learning to match the context of web content with suitable brands and ads. It is a timely product as advertisers seek to offset the loss of third party cookies and apple device ids following the privacy improvements from GDPR and CCPA.
The 4d development team operates using agile/scrum, for the Data Science efforts we deviate slightly and build in timeboxing for efficient exploration. The 4D team are distributed across the UK (Plymouth & London), Italy and Ukraine and happy to work remotely. We work primarily in Python on the AWS platform.
Own the text models in our contextual targeting product (4D)
Deliver fast, quantifiable and iterative improvements in our text classification models through improvements in NLP through techniques such as: text classification, named entity recognition, relationship extraction, word sense disambiguation, sentiment analysis, topic modelling & cross language entity linking.
Work collaboratively as part of the Data Science and 4D Development teams to build these improved models into the 4D product.
Contributing innovative ways to exploit the models and combine them with other team member’s work.
QUALIFICATIONS, EDUCATION AND TRAINING:
Desirable: Numerate Degree, Postgraduate Research Qualification, especially in NLP
Demonstrable knowledge in multiple aspects of NLP. Including a strong subset of: text classification, named entity recognition, relationship extraction, word sense disambiguation, sentiment analysis, topic modelling & cross language entity linking.
Generate and triage ideas for improvements, rapidly prototyping and evaluating the most promising options to improve NLP model accuracy.
Speaking multiple languages or demonstrating an understanding of how linguistic structure varies across multiple languages
Knowledge of the marketing/advertising sector
Experience creating NLP data science solutions in Python for a product i.e. creating production ready code. N.B. We favour python for the benefits of a lingua franca across Data Science, Data Engineering, ML & Development.
Experience working with Big Data i.e. building performant ML solutions that scale
Experience building ML solutions in AWS. We are open to any ML frameworks that work
Experience working with JIRA, Github, Jupyter Notebooks, Scrum/Agile
Proven ability to own a problem.
Ability to work comfortably in a remote team.
Ability to travel to Plymouth or London offices for meetings, approximately 2 days every 2 weeks.
Led by some of the most innovative, experienced people in Datatech, Silverbullet was created with the sole purpose of helping companies get ROI from their data and technology. We work with the biggest brands, content owners and most innovative, cutting edge technology platforms.
Silverbullet was built by doers. People who have built or used tech platforms firsthand. We don’t theorise. We do. Our approach to data has led to us growing rapidly and we are proud to say that we now count some of the most recognisable marketer and publisher brands around as our clients - including the likes of Channel 4, Dolce & Gabbana, Fiat Chrysler Automobile and The Economist.
A career at Silverbullet will give you first-hand experience of new technologies and exposure to larger multinational companies.
With offices across the globe (London, Milan, Munich, Melbourne), Silverbullet is a fast moving and exciting place to work with a vibrant atmosphere and the opportunity for all to develop themselves alongside some of the best people in the industry.
APPLY: Please submit your CV to email@example.com