Data Scientist

at  WiQ

DATA SCIENTIST

• Permanent role, Surry Hills office location with WFH flex
• Work for one of Australia’s retail media pioneers, as part of the Woolworths Group
• Experiment with new ideas, taking a test and learn approach to your work
  We strive to create better experiences together for a better tomorrow for our customers and team, bringing the best of Woolworths Group and Quantium together to make data driven decisions. By partnering with Quantium, a world-class data science and advanced analytics business we’re excited about the future as we unlock the power of data to reimagine retail.
  Through this partnership, we’ve created a new business called wiq who will harness the best of Woolworths Group and Quantium to reimagine retail by solving the most complex problems using data and analytics. As a team, we leverage Agile ways of working to help our team develop their skills while also making sure our team is focusing on solving the most complex problems for both our customers and team.

WHAT YOU’LL BRING

We are looking for an experienced Data Scientist, who can bring a test and learn mindset, with an ability to think clearly about the underlying business problems and to consultatively recommend data-driven approaches to solving them.

• Background in Statistics or experience in experimental design and research methodologies with a knowledge of hypothesis testing and associated statistical techniques.
• Proven experience in hands-on data science work (developing models, feature engineering)
• High level of proficiency with Python and SQL (advanced level)
• Demonstrable experience: in using SQL for analytics, and Looker/Tableau or other data visualisation tools.

• Demonstrable experience working with cloud platforms and associated native tools: e.g. Google Cloud PlatformThe ability to interact and influence with a wide variety of stakeholders internally and externally

WHAT YOU’LL EXPERIENCE

Our Team Members are at the heart of everything we do and we’re always looking for ways to support your career journey and reward great work:

• Develop your career in an organisation that gives you the time and space to think creatively and strategically
• Feel supported and empowered by your leaders
• A truly unique opportunity to be involved in creating, shaping and leading the new retail media industry.

• A global business with endless career possibilities around every corner and across every discipline – with valuable exposure to a vast and exciting business network.Team discounts across our range of Woolworths Group brands you know and love and a robust rewards program that celebrates and incentivises purpose-driven work

This role is part of the broader wiq team and will be embedded in the marketing and media domain supporting Cartology, our stand-alone retail media business within Woolworths Group.
This role will leverage Woolworths data assets to develop a world class retail media analytics capability to enable Cartology clients with reliable insights on the efficacy of media assets and recommendations to achieve goals in effective ways. The role also focuses on supporting internal teams and providing analytics based innovation opportunities.

Reporting to the Data Science Manager and working closely with the senior members in the team, you will be responsible for understanding the value drivers of Cartology assets, assessing their performance and identifying improvement opportunities through detailed analysis and the design, running and interpretation of experiments.

• Assist in driving continuous improvement of experimentation framework in scale, speed of experiment and quality of insight by choosing appropriate techniques and methodologies.
• Understand the advertising business and Cartology Clients’ needs and develop ML models that can address clients ad measurement needs. Provide recommendations to clients and the business on advertising optimisations that can improve campaign results.
• Generate and communicate insights aligned to business objectives and relevant to diverse stakeholders and clients, taking into consideration business roles and technical understanding of audiences.
• Continuously look for opportunities in data, model outcomes and highlight opportunities to improve Cartology campaigns, products & brand targeting, performance and ROAS.

• Take ownership of the end-to-end model development lifecycle implementation within the advertising domain including, articulating the business problem, data profiling, data cleansing/management, feature engineering, model training & validation, and model deploymentDevelop, maintain and govern machine learning techniques (supervised and unsupervised) to model customer journeys, media behaviour and media preferences. Leverage structured and unstructured data sets to answer business and clients problems