Lead Data Scientist

Key Skills

Apache Hadoop, Big Data Technology, Data Analysis, Data science techniques, Data Visualization, Deep Learning, Elasticsearch, Machine learning techniques, Natural Language Processing (NLP), Python Programming, PyTorch, R Programming, spaCy, Spark Core

Job Description

Our data science team faces a big, exciting challenge: building machine learning models to improve the Fairsearch experience. What a user wants to see when they run a search, and what makes a piece of content better or more relevant than another – these are vital questions that inform how we rerank web pages. Sounds interesting? We'd love to hear from you.

We are looking for an experienced Lead Data Scientist who is proficient in working with large amounts of data to extract all kinds of insights and regularities from it. We're also building our own models of calculating the ‘power’ of a web page and its likelihood of ranking high in search results. You also get the privilege of leading our incredible Data Science team. 

What We Need

• Good knowledge in a wide variety of advanced data analysis and machine learning techniques and experience in developing solutions in response to real-world business problems
• Proficient with programming languages such as Python and R
• Experience in scaling Machine Learning models related to Information Retrieval (Web Search in production is a huge plus)
• Experience in full stack data science is preferred
• Knowledgeable in Language Modelling, and experience with open source NLP library such as NLTK, Gensim, Spacy, Pytorch, etc.
• Experience with mainstream big data platforms such as Spark and Hadoop
• Experience in Tensorflow, Theano, or other deep learning frameworks preferred
• Experience with Elasticsearch or similar DB, and ability to conduct independent research utilising large unstructured data sets
• Knowledge on visualisation using open source tools
• Experience in managing a small to medium sized team 

What You'll Do

• Lead and manage the existing Data Science team
• Lead and manage the hiring of Data Science team members including interns
• Research, prototype, build and maintain systems for information retrieval, search, document classification, and Q&A
• Create comprehensive product requirements together with Product Development, Design and Marketing teams
• Work closely with the Engineering teams (frontend and backend) to implement, deploy, and maintain production systems
• Write thorough documentation
• Effectively communicate highly technical results to various teams