Quantcast is hiring a Scientific Engineer for our London office. The candidate we are looking for has a passion for analysing vast amounts of data, finding hidden patterns and relationships, and implementing scalable machine learning and statistical algorithms to improve upon our value-to-user and value-to-client. This role will focus on creatively tackling Quantcast's most complex quantitative modeling problems and advancing the company's core statistical inference and algorithmic technology for audience targeting.

Individuals wishing to join us as Scientific Engineers should have broad familiarity with machine learning and statistical models, ranging from online and offline, supervised and unsupervised prediction systems, recommendation systems, and optimisation systems. Equally importantly, you should also be a hands-on engineer, capable of building out these algorithms and models and putting them live and maintaining them in a production environment with demanding online and offline performance and quality requirements. You will need to be highly motivated, hard-working, very clever, comfortable with aggressive schedules, and a natural problem solver. Good communication skills and client focus are shared characteristics of all the Quantcast team.

Responsibilities:​

• Develop statistical models and algorithms to solve large-scale inference and prediction problems
• Understand business strategy and translate theoretical and experimental results into usable, scalable applications
• Interface with other teams to deliver solutions for client ad campaigns
• Ruthlessly measure and refine your models to ensure they're driving tangible value to the business and meeting quality expectations
• Execute at pace in an agile environment
• Dive deeply into the data to understand and apply patterns while maintaining a sense of the big picture
• Implement algorithms for production level systems responsible for real-time audience targeting and pricing in Real Time Bidding (RTB) exchange

Required qualifications, experience, and skills:

• Postgraduate degree in Computer Science with an emphasis on machine learning
• 2 years of work experience in machine learning or data science
• Practical knowledge of online advertising and real-time bidding exchanges
• Ability to independently design/develop and test large and complex applications
• Codes with a keen sense of engineering OCD (obsessive-compulsive discipline)
• Strong object oriented programming skills
• Recent programming experience in a production environment
• Superior understanding of algorithms and data structures relevant to machine learning at large scale
• Expertise and hands on experience in statistical modeling and machine learning at massive scale
• Fluency and hands-on experience with Java/C#
• Fluency and hands-on experience with R/Python science stack (numpy, pandas, scipy, matplotlib, scikit-learn)
• Experience with wrangling, analysing and visualising massive amounts of data
• Experience with large-scale data mining, machine learning, optimisation algorithms and predictive modelling in industry/production
• Lots of experience with MapReduce data systems and programming (i.e., Hadoop)
• Experience designing, implementing, and optimizing Hive queries to run efficiently on Hadoop-style cluster
• Knowledge and hands on experience of at least one non-relational database system (i.e, Cassandra, MongoDB)
• Large dataset experience, preferably working with complex web log data sets
• Some knowledge of relational databases

Salary: competitive

Closing date: 30 December 2014