Graduate Data Scientist - Machine Learning & Predictive Analytics

Graduate Data Scientist – Machine Learning & Predictive Analytics

Would you like to translate terabytes of data into market leading business intelligence that will shape the future of next generation mobile communications networks and change the telecommunications competitive landscape? Equiendo, a leading provider of automated software solutions for mobile network management and strategy, is looking for a data scientist with a passion for practical application of cutting edge data analytics to join our highly successful product development team.

Data is at the heart of everything we do here at Equiendo. Our data driven solutions enable mobile network operators around the world to manage and optimise their networks, to constantly improve the quality of experience for their customers, launch new mobile multimedia services, tackle the challenges of exponential data usage growth, and make strategic decisions about their future technology roadmaps.

As a Data Scientist you’ll work side by side with Developers, Engineers and Product Managers in a dynamic, hands on team environment as we bring technology innovation and fresh data insights to our product roadmap. From day one you’ll be working with live data from mobile networks around the world. A typical day will include anything from organising, understanding and predicting network data, supporting our product management and service delivery teams with data analysis, to researching and evaluating new techniques, building code and implementing new data analytics functionality on our application platform.

Our ideal candidate is result-focused and innovative, passionate about predictive analytics, extracting insights from data, and organising data using various data analytics techniques and tools. We value highly a desire to share your ideas, knowledge and experience with your team from the off. 

 

Responsibilities

·         Perform analysis on large-scale datasets from live mobile networks - such as segmentation, classification, optimisation, time series & regression analysis, clustering, association

·         Research, implement and evaluate models, techniques and algorithms for predictive data analytics

·         Develop machine learning models to uncover and analyse behaviours, patterns and trends in mobile network data and learn statistical relationships between distributed datasets

·         Enhance our product automation through building profiling and decision algorithms

·         Work closely with the development team to build rich data visualisation into our software applications using bespoke or third party tools

·         Contribute to a multi-disciplinary team of network engineers and software developers where you’ll take ownership of turning data analysis ideas and innovation into real insights and applications for our customers

·         Support our business, product management and service delivery functions with data analysis and reports

·         Actively contribute to taking Data Science at Equiendo to the next level through sharing knowledge and expertise

 

Minimum Qualifications & Experience Requirements

·         Bachelor 2.1 degree, or above in Computer Science/Computer Engineering or any related discipline essential (Mathematics, Engineering, Artificial Intelligence, etc.)

·         Hands on experience implementing models such as: Logistic Regression, Support Vector Machines, Deep Learning Hidden Markov Models

·         Experience with at least one scripting language, e.g. R, Octave, and one programming language, e.g. Python, C#/C++, Java

·         Experience researching, evaluating and applying new data analytics techniques, tools and methodologies

·         Demonstrable experience with data presentation and visualisation techniques

·         Experience performing data organisation and transformation tasks such as combining, breaking down and mapping data.

·         Strong analytical & problem solving skills, capable of understanding business requirements and analysing large datasets to uncover network and business insights

·         Excellent communication skills with the ability to work within cross-functional teams and convey your message to team members and stakeholders

·         Strong organisational skills, ability to work independently and take initiative on projects

 

Knowledge/Experience in some or all of the following is desirable

·         Masters degree in relevant field such as Machine Learning, Big Data Platforms or Data Analytics a distinct advantage

·         Experience with Database technologies, relational and non-relational e.g. SQL, Hadoop, MongoDB

·         Experience in data cleansing; performing tasks like identifying incomplete, incorrect and irrelevant parts of data and then replacing, modifying or deleting this data

·         Exposure to data processing at enterprise application scale a benefit

·         Familiarity with software product development lifecycle

·         Demonstrable leadership experience

·         Knowledge of Telecommunications networks and standards such as GSM, UMTS, LTE

 

How to Apply

Interested candidates can email their CV and cover letter to This e-mail address is being protected from spambots. You need JavaScript enabled to view it by close of business, 30th June 2017. EU nationals only.

Location

Equiendo’s head office is located in Dublin 2.

 
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