Data Scientist | Big data environment | Hadoop/SparK | R/Python
Newly created team to use advanced analytics to meet business's goals Diverse projects | Big data environment | R, Python, Spark & Hadoop
Summary about this job
Mathematics, Statistics & Information Sciences
Company: Bluefin Resources Pty Limited
Location: Sydney
Work type: Full Time
Salary: Up to $180000.00 p.a.
Phone: +61-2-3403-2141
Fax: +61-3-9167-6994
E-mail: n\a
Site: n\a
Detail information about job Data Scientist | Big data environment | Hadoop/SparK | R/Python. Terms and conditions vacancy
Our client is a national, reputable and well-known brand in their market. They are currently investing in expanding their existing data analytics capability across the group. They are creating a whole new team and are looking to attract exceptional senior data scientists to join their advanced analytics division.
What are the accountabilities for this role?
- To apply advance quantitative techniques to develop models and methods to maximise service business partnership
- To develop and enhance statistical and machine learning predictive models to drive supervised learning
- Interpret analysis and modelling results in a business context and provide commercially focussed advice to support business decisions
To be considered for this role you will ideally possess the following;
- Tertiary qualifications in a relevant discipline, Statistics, Data Science, Mathematics, Computer Science, ideally PHD level is preferred
- 5 + years commercial experience, developing analytical models, preferable experience in customer / marketing analytics
- Proven experience in advanced methodology such as machine learning
- Experience using big data platforms such as Hadoop and Spark will be advantageous
- Expert knowledge of R, Python, SQL, SAS
- A blend of both technical skills and stakeholder management experience
This an opportunity for a Senior Data Scientist looking to work in a fast paced, innovative environment in a team that is high performing and has a superb reputation acrosss the group.
For an immediate interview please call Sophie on 02 9270 2603 or apply via the apply link below.
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