Senior Data Scientist
Location: GB, LND, London
Department: Engineering
Function: Engineering

Company profile:
As a growing and successful startup, Conversocial is a great place to work for ambitious individuals.We build a market leading social customer service solution, and we need even more great people to help us push that position even further. You’ll get the opportunity to work in an exciting new market, where we’re helping companies to understand the solution to their problems and are changing the way they interact with consumers.We have a trusting, hands-off management style, which is suited for people that are self-motivated.Our employees have the opportunity for independence and responsibility over their own projects, but we provide all the support and training they need to get there and to develop their careers.At Conversocial we like to balance work and play.We eat lunch together everyday (a company perk) and all enjoy a Friday treat of cake and few drinks. Our close-knit team is very sociable, which makes the Conversocial office a relaxed, fun and supportive working environment.

Description:
Conversocial builds software that helps companies deliver customer service on social media platforms. If you tweet one of our customers we pull that in and provide tools to make it easy for one of their customer service agents to reply to you on Twitter. These tools range from workflow through to analytics through to machine learning to prioritise issues over general chatter.As a data scientist you will be responsible for all of its machine learning features. This includes undertaking new projects to drive the business further, make even more use of our data as well as building on top of the existing models to make them even better.What We Care AboutAt Conversocial we care about doing things right without overengineering them. We have a huge bias towards incremental improvement - a 10% improvement this week is better than a 20% improvement in a month's time.We encourage learning at Conversocial. Everyone on the engineering team gets an annual conference allowance. There is a lunchtime presentation every week (alternating between technical and non-technical) - participation isn't mandatory but is encouraged!Conversocial relies on a lot of open source technologies, where possible we submit fixes and improvements back to the open source projects that we use. We also try to open source our own technologies when it makes sense to do so.Techniques, Tools and TechnologyConversocial's core platform is built using Python, MySQL and MongoDB. We try to use the best tools for the job without cutting ourselves too much on the bleeding edge. We strongly encourage best practices such as using the correct metric for the problem.About Data Science at ConversocialThe data scientist is part of the engineering team and is expected to write production ready code. For this fluency in python is preferred. Any other language will be accepted with the willingness to learn python.Experience with open source machine learning libraries e.g. scikit-learn, NLTK is highly desirable. This could have been used through academic research, side projects or data science competitions.Conversocial has large data sets of textual data so experience with natural language processing will be a plus. Predictive modelling experience is presumed.At conversocial there is an opportunity to have a large impact. You can work with other teams in the company and start new projects with them. Being creative is also a nice trait as you could completely change the way problems are tackled. Knowledge sharing is also appreciated and there will be opportunities to mentor others.

Requirements:
Good working knowledge of Python or similar languageKnowledge of common machine learning techniquesA focus on text-based machine learning problemsAbility to realise when big data isn't bigAbility to work in a tight-knit team

Benefits:
Salary of £40-55k plus stock options£2k annual conference allowanceLunch bought by the company every dayRelaxed and enjoyable environment to work in