Optus

Senior Data Scientist

Job description

About Us

Optus, a wholly owned subsidiary of Singapore Telecommunications (SingTel) is an Australian leader in integrated telecommunications, delivering cutting-edge communications, information technology and entertainment services. Optus’ vision is to be Australia’s most loved everyday brand with lasting customer relationships, and we’ll achieve this by creating Unique customer connections and by being Digital everywhere, delivered by our Amazing people. Network Analytics in the Digital Networks group plays the leading role in productionizing and maintaining advanced analytics models making use of our existing large-scale data assets. The technology is powered by a Big Data Ecosystem which includes a big data platform, analytics and visualisation tools used for Artificial Intelligence/Machine Learning/Data Mining, the data integration/ETL frameworks.


About the Role

Design and drive the solution of its model platform from interfacing with the Big Data platform through to Consumer Analytics. Help drive the development and adoption of Machine Learning and Analytics across Networks enabling use cases from closed loop automation to autonomous network domains. Working with stakeholders across the organisation including Networks, Consumer, Opus Wholesale, Optus Enterprise, Marketing, Digital & Service, you will take a lead role to drive the adoption of data science in Optus Networks, ensuring the analytical assets produced are robust, scalable and add value as well as driving the thought leadership for analytical assets can be leveraged to improve business outcomes. Stakeholders include Director, Head of, VP, Senior Leadership Team (SLT) level and at times, the Executive Committee. We believe the Networks data contains key information that can drive significant business benefits, hence this role will focus on the interaction with both business stakeholders and other Data Scientists across the organization. Data Science is a fast-evolving field, so you will need to keep up to date with the latest developments and technologies. You will be joining a team with a fantastic culture, where an innovative and entrepreneurial mindset is openly celebrated and supported.


More Specifically

  • Mentor other data scientists and analysts to elevate the thinking and technical ability across the organization as well as assist with presentation and delivery
  • Provide clear and actionable insights roadmap & strategy and have the conviction to roadshow and circulate these within the chapter and across the organisation
  • Collaborate with users and stakeholders to develop, test and document new ways to help provide data driven outcomes to the business
  • Take a lead role in contributing to the Optus Analytics & Data Science Communities ensuring that community members build robust analytical assets and adopt Data Science principals
  • Ensure contemporary academic and industry best practices are applied to the Data Science strategy and governance process
  • Design, develop and evaluate highly innovative models for predictive learning to create new, scalable solutions for business problems
  • Deliver tangible analytical assets, utilising appropriate advanced analytical techniques and productionise these into the modelling pipeline (which includes, but not limited to, propensity modelling, machine learning, mathematical optimisation)
  • Maintain good working relationships with all departments within Optus Networks and with other business units to ensure the Data Science team has input into future capability developments
  • Work closely with the rest of Analytics and the wider enterprise to ensure customer marketing & service interactions are data & algorithmically driven
  • Engage with and influence stakeholders from a variety of backgrounds to understand and utilise analytical assets and insights to drive customer engagements and business outcomes

About You


We are looking for the following skills, attributes and experience

  • 6-8 years+ experience in advanced data analytics and machine learning / AI / Statistics. Areas such as recommender systems, NLP, pattern recognition, predictive modelling.
  • Proven achievement of solving a challenging problem in production using research, data analysis, prototyping, and state of the art algorithm design and ML modelling.
  • Strong Knowledge of Big Data technologies, such as Kafka, Spark, Hadoop/MapReduce, Spark, MPI, using GPUs and experience in programming languages such as R, Java, Python.
  • Demonstrated experience in the cloud, familiarity with at least one of the major cloud vendors ecosystem
  • Comfortable using workflow management, CI/CD and code repositories such as Jupyter Notebooks, Github/Bitbucket, JIRA Sharepoint & Confluence
  • Results-Planning/Action Oriented-Consistently delivers results by setting objectives/goals, planning and exploring new and better ways of doing things to achieve personal and business excellence.

Optus is a place where we let you do you. We offer all kinds of benefits, such as Work collaboratively in an open, agile environment with flexible working hours and location; Discounts with over 400 companies Australia wide (Technology, Retail, Home, Fashion and more!); Mobile & Internet discounts, Novated Car Leasing, and other financial benefits; Onsi

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