Python Job: Data Scientist

About the Role

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 Responsibilities

• Deliver 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.
• Ensures 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. Uses 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 AI, Reporting, Insights & Automation (ARIA) Chapter Area to deliver solutions to our internal stakeholders that maximise the value of the Chapter.

About you

The following skills and experience will help you to be successful in the role:

• 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
• Working knowledge of AWS or Azure cloud technologies tools like Sagemaker, AzureML, Redshift, Azure Data Factory, Synapse, Splunk, Databricks, Spark,etc

If this opportunity sounds like a perfect fit for you, we'd encourage you to apply!

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We’re committed to building a diverse and inclusive workforce in all its forms. We encourage applicants from diverse gender, cultural and linguistic backgrounds and applicants who may be living with a disability. We also offer flexibility in all our roles, to ensure everyone can participate.

To learn more about how we support our people, including accessibility adjustments we can provide you through the recruitment process, visit tel.st/thrive.

Salary Range

$85,085 - $150,400(annual)

Recruitment Start Date: 18/08/2022

Recruitment End Date: 15/09/2022