Location CBD & Inner Suburbs Salary $160,000 - $180,000 + Job Type Permanent Ref 3002997 Posted 13 days ago Great opportunity for a Senior Data Scientist to join a leading financial services company.
This role is responsible for driving the design and development of advanced analytical models of various types to deliver tangible, actionable business outcomes to better support customers.
You will Extract and manipulate data from a variety of sources for use in current and future state architecture and Build deep relationships working as part of a team that directly supports the front-line business.
What you’ll be doing…
Coaching and Best Practice
Coach and mentor junior data scientists in all stages of model development.
Model Design & Data Discovery
Assess and select modeling techniques and potential data sources to address the given business problem, including analysis of new and existing data sources to determine their applicability
Extract and manipulate data from a variety of sources and subsequently cleanse, standardize, scale, bin, categorise, tokenise, stem and transform it is order to get the data into a state suitable for further analysis.
Modelling for Operational Analytics
Design and develop the approach for operational execution of model scoring and the closed loop feedback paths required to support true test and learn, including techniques, tools and consideration of lifecycle management framework, meta-data, coding standards, version control, scheduling, error handling, data quality, referential integrity and testing (including model accuracy and batch performance and integration testing).
Collaborate & Influence Key Stakeholders
Technology (Enterprise Data), B&PB; Data & Analytics (Business Commercialisation, Engineers, Governance, etc), key stakeholders across the value chain
What you will bring...
Post Graduate degree in Statistics, Mathematics, Computer Science or similar industry experience
Experience in Financial Services or related industry
Background in statistical analysis and modelling techniques over large data sets, with proven capability constructing, validating, and implementing models
Ability to build appropriate models from scratch and justify the methods and science used
The ability to explain simply how complex models work, and how they can be used in the real world to achieve desired business outcomes
Required expertise in the following disciplines:
- Predictive Modeling
- Text Analytics & Sentiment Analytics
- Feature Engineering
- Machine Learning
- Cloud-based analytics development
Required technical skills:
- Strong R, Python, and SQL
Desirable skills & experience:
- Visualisation products
- Hadoop, MapReduce, Hive, Pig, Spark, NoSQL
- Micro services and API experience
What's in it for you?
This is a fast growing organisation with lots of career opportunities and the ability to earn an excellent package.
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