FIND OUT MORE - Massive Analytic

advertisement
13th January 2015
Scala/Python Data Scientist
www.massiveanalytic.com
CORPORATE OVERVIEW
Massive Analytic’s data scientists and software engineers are developing the next-generation
technologies which are changing how people interact with, make accessible and use the information
in big data. Our ambitions are far-reaching. To handle information and to blend enterprise-level data
at the scale of the web requires ideas from every areas of computer science, including information
retrieval, artificial intelligence, machine learning natural language processing, predictive analytics,
statistics, distributed computing, large-scale system design, networking, security, data compression
and user interface design; the list goes on and is growing every day.
ROLE
As a Data Scientist reporting to the Head of Data Science & Innovation, you will be involved in critical
research and innovation (R&I) projects, customer prototyping and proofs-of-concept.
Working in a highly collaborative environment, you will support product innovation and customer
engagements, partner with the engineering, customer engagement and product management teams
to prototype and launch data-driven features and products. This role has a customer facing element
and will suit candidates that enjoy working with customers at the front-end of the business.
You will develop deep domain expertise and generate key insights that influence business decisions
and technological solutions. In addition, you will be active in the data sciences community and
contribute to attracting the best talent in a performance-driven organization.
TECHNOLOGY OVERVIEW
Oscar AP is the world’s first precognitive analytics platform, providing rapid business foresight,
allowing users to foresee possible events before they occur with the patented technology Artificial
Precognition (AP). Using advanced machine learning designed to scale big data, Oscar AP is a
browser based analytics platform that automates data science allowing users to perform advanced
analytics in an interactive storydashboard. AP allows users to rapidly understand their data by
disclosing the hidden relationships in it. These relationships are then used to provide predictions
beyond the limits of standard predictive analytics. All this through simple point and click with no
coding whatsoever.
PROSPECTS
This is a rare and significant career enhancement opportunity for the right candidate to progress to
senior and principal data scientist with team leadership responsibilities.
RESPONSIBILITIES
Data Science at Massive Analytic is a high profile high impact team, focusing on creating innovative
solutions that rely on artificial precognition combining AI, predictive modelling, big data analytics
and unlimited big data scaling. You will have R&I responsibility for:



Data science products or key components of Oscar AP
Writing quality code while implementing your own ideas
Implementing efficient automated processes for producing modelling results at scale
1
13th January 2015



Participating in a full development cycle from innovation, feature or module inception,
prototyping, testing and release to engineering for integration
Working closely with product, engineering and customer engagement teams and interacting
with other teams on a regular basis
Writing research papers
REQUIREMENTS













MSc or PhD in a quantitative discipline (e.g., statistics, computer science, physics or
mathematics)
Coding skills in Scala and Python
Big Data architectures including SPARK and Hadoop being an ecosystem expert
5+ years of hands-on experience in analysis and modelling of large complex datasets
A passion for innovating with data science at scale – applying modern algorithms to massive
datasets and creating measureable business value
Excellent interpersonal and communication skills, with a strong written and verbal
presentation
Proven ability to take ownership of a project with minimal supervision
Deep understanding and hands-on experience with optimization, data mining, machine
learning, deep learning and natural language processing techniques
Superb understanding of algorithms, scalability and various trade-offs in a Big Data setting
Ability to personally put together a system of ‘disjointed’ components that implements a
working solution to the problem
Strong competencies in data structures, algorithms, and software design
Ability to learn new technologies, languages and tools quickly
Research experience in Algorithms, Architecture, Artificial Intelligence, Predictive Analytics,
Visualization, Compilers, Database, Data Mining, Distributed Systems, Machine Learning and
networking
DESIREABLE SKILLS



Additional analysis coding abilities such as R, Matlab, etc.
Machine Learning, AI and Predictive Analytics expert
Database technologies: SQL and NO SQL expert
START DATE
Immediate.
LOCATION


Based at home
Must spend time weekly at Massive Analytic’s collaborative workspace at the Innovation
Warehouse in London, UK. (Exceptions may be made for candidates outside UK).
ABOUT MASSIVE ANALYTIC
Massive Analytic is a London-based AI company, with patented world leading technologies and global
big data heritage. Founded in 2010, Massive Analytic has a disruptive vision for changing the way we
interact with data using artificial precognition, with the product Oscar AP.
The company is privately funded and its innovation has been recognised and awarded with a Small
firms' Merit Award for Research and Technology (SMART) for innovation and a Knowledge Transfer
Partnership (KTP) grant from Innovate UK. It has been accepted into the Lockheed Martin Virtual
Technology Cluster.
2
13th January 2015
Massive Analytic is a Microsoft Azure and Amazon Web Services (AWS) partner and was a Top 20
finalist from 600 startups in 19 countries in the Microsoft Azure accelerator in August 2012, winning
membership of the BizSpark Plus programme. It was a CODE_n 2014 finalist, a Tech Market View Top
12 finalist and a 2014 Tech Tour selected company.
CONTACT
Maria Ghibu, careers@massiveanalytic.com switch board: 0207 100 1140.
3
Download