Optus

About Us

Optus’ vision is to become Australia’s most loved everyday brand with lasting customer relationships, a brand that excites customers by bringing together their digital life with their daily lives. The business is focused on designing innovative products and services that entertain customers and enhance their lives, delivered with engaging service and a network where it matters. At Optus we don’t sit back and leg the future happen to us – we’re out there marking a difference. By expanding into new technology and relentlessly improving every day, we’re working to create a better tomorrow for all Australians.

About the Role

The Data Science Chapter exists to use data in new ways that surface hidden insight, help Optus realise the vision of becoming a more customer centric organisation. The Senior Data Scientist is a key transformational role, helping drive the development and adoption of machine learning and analytics across the enterprise. As a key member of the Data Science Chapter, you will lead ideation, build, development, deployment and driving adoption of data science within the organisation. You will be joining a team with a fantastic culture, where an innovative and entrepreneurial mindset is openly celebrated and supported. Working with stakeholders across the enterprise including Consumer, Marketing, Digital & Service in both Agile and non-Agile environments, you will take a lead role to drive the adoption of data science, 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. This will involve interactions with stakeholders at Senior Leadership Team (SLT) level and at times, the Executive Committee.

More specifically, as a Senior Data Scientist, you will:

• Support and lead elements of the planning, development and execution of the Data Science roadmap across Optus Consumer and the wider organisation
• Possess a thought leader/strategic thinking view on how data science can empower business stakeholders to make more informed decisions and add value for the organisation
• 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
• 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 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
• Excellent attention to detail with the ability to work with large amounts of information and see the ‘bigger picture’, conduct data discovery, apply basic, complex and/or data science techniques for automation using a hypothesis driven approach
• Champion best practice Data Science and support the ongoing implementation of cutting-edge machine learning solutions within the Chapter and across other data scientists in the organisation

About You

You are a self-starter with a growth mindset and a collaborative attitude – unconventional backgrounds welcome! You will have strong communication skills and agile thinking mindset to settle into a new environment quickly and achieve results quickly. You enjoy being hands-on and are excited to apply your data science knowledge to uncovering insights hidden in vast amounts of data, wrangling & engineering that information and developing meaningful and value driven analytical assets. You thrive on being empowered with the autonomy to perform your role, leading the thinking in data science for the Chapter and collaborating with peers and stakeholders. You are proactive, flexible, adaptable to change, enjoy dynamic environments and thrive on the challenge of driving adoption. Our values Customer Focus, Challenger Spirit, Teamwork, Integrity and Personal excellence will resonate with you deeply and you will enjoy being part of iconic Australian company that prides itself on innovation and putting the customer at the centre of everything.

Other skills and experience include:

• Tertiary qualifications in a STEM or business discipline
• 5-8 years+ experience in advanced data analytics or machine learning / AI / Statistics
• Sound communication and influencing skills with stakeholders from a range of backgrounds with varying levels of technical competency
• Experience in machine learning areas such as recommender systems, NLP, pattern recognition, predictive modelling
• Exposure to extending open-source libraries such as Mahout, Spark MLlib, GraphLab, etc
• Experience in producing and presenting relevant documentation in support of the analytical process
• Knowledge of parallel and distributed computing frameworks such as Hadoop, Spark, MPI, using GPUs
• Proven experience managing internal projects end to end, both individually and in a team
• Experience operating in Agile teams and exposure to leading small technical teams will be highly regarded
• Understanding of analytical direct marketing and the use of data science assets within customer decisioning
• Experience in building large scale, end-to-end machine learning systems using a combination of big data tools and programming languages like R, Spark/Scala, Java and/or Python
• Comfortable using workflow management and code repositories such as Jupyter Notebooks, Github/Bitbucket, JIRA Sharepoint & Confluence
• Inquisitive nature – a desire to go beneath the surface of a problem, find the questions at its heart, and distil them into a very clear set of hypotheses that can be teste

The Perks

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 & Broadband staff discounts; Onsite facilities at Macquarie Park such as a Gym, GP, Mini-mart and cafes; Training, Mentoring and further learning opportunities and Staff bus service to Epping and Wynyard, and back again