Data Scientist

Churchill Frank
08 Feb 2017
08 Mar 2017
Contract Type
Full Time
Job Description - R - Hadoop - Machine Learning

We are seeking a highly motivated data scientist who can transform raw data into meaningful insights, providing actionable recommendations that influence our stakeholders to take action. This individual will be part of a team that applies advanced statistical modeling, data visualization and business process improvement in order to strengthen the businesses competitive position in the marketplace.

Specific responsibilities include:
Mine, analyze, and model large structured and unstructured datasets, and apply advanced statistical predictive models and leading machine learning algorithms to solve business questions.
Creatively translate business problems into a subset of data science problems that leverage appropriate methodology (e.g., classification, regression, probability estimation, etc.), evaluate the results rigorously, and transform the results into insights and recommendations that are clearly communicated to the business.
Identify and leverage appropriate tools/techniques, including R, Python, SQL, Tableau, Hadoop Impala and/or Redshift. ?
Work with data systems professionals to develop the infrastructure and format for new data sources so they can be leveraged and analyzed.
Champion and educate the business and product owners on ways to extract value from data that can be collected from our products
3+ years of experience applying quantitative skills to solve actual business problems
Strong foundation in data science and advanced analytics, including experience with algorithms, statistics and graphing software
Strong technical skills, including experience with query, modeling, and data visualization tools. R, SQL and Tableau experience strongly desired.
Strong communication skills, with the ability to communicate statistical output in a manner that is engaging, understandable, and influential
Strong initiative, attention to detail, and ability to multi-task
Experience with business operations and analytics.
Bachelor's degree in a quantitative discipline
Master's Degree preferred

Please do not delay in applying for this quality role - interviews will be happening in the next week! Alternatively if you have a friend or colleague that may be suitable please pass on my details. Successful referrals will be rewarded with shopping Vouchers.

To discuss this and other exciting Data Scientist / Big Data opportunities in more detail please send your CV to or call Gabs in complete confidence ASAP.