Data Scientist

  •   Full Time
  •   Melbourne

Salary – Excellent salary package and benefits/Reference – JD1765

Data Hacker, Analyst, Communicator, and Trusted Adviser
Machine Learning / Statistics / Advanced analytics –
Competitive Salary and Career Progression

Role Description:

Exciting opportunity for an experienced Data Scientist to join an innovative Advanced Analytics function for this diverse ASX Listed Global Organisation headquartered in the Melbourne CBD. The Data Scientist will be responsible for developing and implementing analytic solutions using the latest techniques and technologies to help increase the company’s data science capability. The perfect candidate will have a degree or PHD in Mathematics, Statistics or Computer Science coupled with commercial experience applying machine learning, statistics and advanced analytics concepts and models to extract insights from large datasets

Key responsibilities:
• Drive key analytics projects to develop innovative solutions to often challenging problems
• Develop predictive analysis and statistical analysis to predict outcomes and behaviors
• Apply Statistical/ Machine Learning techniques to build data product and features
• Manage development of data resources, gather requirements, organise sources, and support product launches
• Contribute new ideas and analysis to the Analytics department on mathematical and statistical concepts to create value or solve problems for the business
• Engage with, educate and influence internal business stakeholders (at multiple levels in the business), to help identify and deliver business-relevant information and analysis
In order to be considered for this role, you must have:
• Minimum 5 years + experience as an individual technical contributor within data science
• Extensive knowledge of varied machine learning models and analytical techniques in a commercial environment
• Practical experience of the methods used to apply machine learning algorithms to complex datasets
• Proven experience in a data or statistical analysis roles
• Statistical modelling in a major package such as SAS, SPSS and good knowledge with SQL, Python and R
• Understand key behaviours that drive consumer acquisition, retention, and engagement to enable decision making about product strategy and features, marketing tools and campaigns
• Prior experience with Big Data frameworks (Spark, Flink, Kafka,) and AWS services (EC2, Redshift, RDS, EMR) highly desirable
• Experience in Data visualisation using Tableau / Qlikview
• Degree or PHD in Mathematics, Statistics, Computer Science or related field such as Physics, Economics or Operations Research

To apply for this position and to send your CV click on the email below: