Data Science Specialist
vor 1 Monat
Architects (Information & Communication Technology)Full timeWe're an iconic Aussie brand with a global footprint. Our purpose is to build a connected future so everyone can thrive. We're all about providing the best experience and delivering the best tech on the best network.This includes making Telstra the place you want to work. For you, that means a career that grows with you, and working with a team powered by human connection that prioritises well-being and choice.Here's what you can expect from us:Flexible working. Wherever you live, choose where, when, and how you work so you can be at your best.There when life happens. From Gender Affirmation Leave to Telstra's Additional Leave Day, we give you time to spend away from work when you need it most.Pay for performance. We recognize outstanding contributions through our generous incentive programs.Parental Leave. A gender-equal policy for parents so you can choose how and when you take your leave (16 weeks full pay or 32 weeks half pay). Receive superannuation contributions on paid and unpaid parental leave.Unlimited learning. Level up your credentials with access to 17,000 learning programs. Learn 'on the job' and achieve university credits toward degrees and Master's programs.Global presence. With a global presence across 22 countries, there are many opportunities to work where we do business.Extra perks. Receive 25% off Telstra products and services, plus unlock exclusive discounts from over 240 brands and partners.Make a DifferenceTo support Commercial's stakeholders with analysis & insights that assist Telstra to increase revenue, decrease costs and improve customer service. This role is critical to providing insights that enable product and segment stakeholders to achieve their profit, revenue, sales and NPS targets.The Data Scientist works under the direction of an Analytics Chapter Lead and an agile Product Owner to define the business problem, develop hypotheses, undertake the relevant analytics, summarise the insights and make recommendations for action. Outcome measures include:Availability of quality analytics and insights that enable business stakeholders to successfully manage their business and address key business priorities.Make significant contributions to improving the way we work.Key ResponsibilitiesDeliver key analytics, self-service and agile projects. Work with stakeholders to define and agree the project scope, milestones and deliverables.Communicate progress of projects and key findings within the organisation.Ensure analytics delivers measurable business value.Use software such as SQL, SAS Enterprise Miner and/or R/Python to access, transform, integrate and analyse customer data from across the enterprise.Ability to adopt and perform advanced statistical techniques to answer complex business questions (machine learning algorithms, predictive models, clustering techniques, etc.).Design Test & Learn experiments for campaigns and guide the business in interpreting these results.Ensure deployed models are maintained, tracked, governed.Translate data into insights in a digestible format for business stakeholders that clearly articulate the key correlations and relationships identified within the data and the business value associated with using these insights to drive business decisions. Use storytelling to communicate with impact.Actively work to ensure resulting insights and dashboards are adopted in the business, leading to greater data-driven decision making within Telstra.Work collaboratively with stakeholders across Telstra to develop both the analytical hypotheses and the recommendations from the analysis and identify where support is required to influence adoption.Actively seek ways to work collaboratively across the Commercial Chapter Area to deliver solutions to our internal stakeholders that maximise the value of the Chapter.About youTo be successful in the role, you'll bring skills and experience in:Undergraduate degree in computer science, engineering, mathematics, statistics or some related business discipline.Graduate or up to 3 years' experience in a similar role.Experience with SQL / R / Python would be advantageous.Experience in commercial environments applying cutting-edge statistical models and analytics techniques, such as data mining, regression modelling, forecasting, predictive analytics, behavioural modelling, the scientific method and experiment design, clustering, neural networks, pathway analyses, natural language processing (or text analytics), machine learning and data visualization.If you are passionate to succeed as part of an agile and experienced team, we welcome you to applyWe encourage applications from people of all abilities and backgrounds - including Aboriginal and Torres Strait Islander peoples, the LGBQTI+ community, linguistically diverse, and people living with disability. When you apply, you can choose to note the pronouns you use and/or any reasonable adjustments needed to take part equitably during the interview process.
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