Our client is a household retail brand. This hugely successful business is embarking on a retail media platform uplift programme and is now seeking an impressive and technically adept Data Scientist to complement their high performing project team.
As a Data Scientist within the Digital, Marketing and Memberships squad, you will work alongside the Analytics Delivery team to deliver high quality analytics, models and prescriptive insights to key stakeholders.
Day to day:
1. Apply a range of AI, machine learning, statistical and analytical methods with rigorous standards to produce high quality and accurate outcomes.
2. Work on a variety of analytics problems, including recommender systems, personalisation, and complex measurement.
3. Discover new opportunities to optimise the business through application of these techniques.
4. Develop the Data Science craft, ensuring that the business develops a mature capability, builds industry/research links, and is exposed to / incorporates leading practices and methodologies.
5. Present key model outputs and insights to key stakeholders across the business in ‘everyday’ language.
6. Proactively identify learning opportunities and share your knowledge across the team.
Specifics:
1. Proven experience in data science, analytics, or a similar role.
2. Degree in Statistics, Mathematics, Econometrics, or other quantitative discipline.
3. Experience analysing large, complex datasets using various tools and techniques.
4. Proficiency in Python, R, SQL, and other data analysis tools.
5. Experience with experimental design, predictive and prescriptive analytics.
6. Good knowledge of productionising models into business outcomes.
7. Highly desirable attributes include a background in econometrics or retail data science.
Tertiary qualified, you are an intelligent, conscientious problem solver with strong analytical, conceptual and collaboration skills. Leveraging your understanding of the key building blocks for data strategy, you will have strong analytical and programming skills to conduct sound data science and enjoy telling compelling stories with data.
Apply now or for a confidential conversation call Elton Kelly 0405 294 375.
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