Data Scientist

Are you interested in joining the dream team at Wesfarmers OneDigital?

Good call. We're an exciting new digital enterprise with big ideas, supporting some of Australia's most trusted and iconic brands focussed on making lives better for people all around Australia. We're well on our way towards bringing the best of digital and data possibilities together to create more personalised shopping experiences for customers across our retail brands.

We're continuing to bring the best talent and skills under one roof, working together and across disciplines to build amazing experiences for our customers. We continuously feed off each other's insights, talents and capabilities, because we are a business that thrives on open collaboration and a shared vision of positive, fun and rewarding experiences.

With plans to transform the Australian retail and industrial landscape, comes a big responsibility. We see a future where we are leaders in the data and digital space. It's why we've been working hard to accelerate the development of data, digital and analytics capabilities across our businesses. We're focused on harnessing the power of data and transforming it into meaningful insights that enhance our customer experience, strengthen our businesses, and help them pursue new growth opportunities. Our talented and agile team co-create and solve complex problems. It's innovation, to create better experiences for our customers. It's adding real value, that supports decision making across the Wesfarmers Group, and its transformational work, that'll change the industries we operate in.

What You'll Be Doing
Understand and interpret retail business needs and translate in to appropriate analytical methodologies whose outputs deliver the desired business benefits and outcomes

Key Duties And Deliverables
Divisional, One Data and External Partner management

• Identify the key actionable insights from advanced analytics and translate into clear business relevant recommendations including supporting the activation through pilots and productionised roll-out.
• Apply appropriate leading practice analytical methods and techniques in an agile, pragmatic way that reflects the needs, constraints and KPIs of the business (e.g. time, cost, quality, data availability).
• Create business enthusiasm and demand for the use of Advanced Analytics through the effective communication and translation of advanced analytical techniques into commercial concepts that can be easily understood by business end users.
• Deliver a seamless, and proactive service to stakeholders through the effective articulation of the customer opportunity, commercial benefit, analytical findings and data driven insight recommendations. Showcase, benchmark and quantify the value and outcomes of analytics based decision making.
• Contribute to the direction, development and implementation of the data and analytics strategy, roadmap and knowledge base within the OneData, OneDigital and Divisional analytics teams.
• Research and apply new Advanced Analytics opportunities in areas of prediction, regression, machine learning, and broader Artificial Intelligence applications in the identification and realisation of new opportunities for the business.
• Serve as a trusted advisor by cultivating relationships with stakeholders and across various Leadership teams to improve their understanding and knowledge of data science techniques and so the value from becoming a data driven organisation

What You'll Bring To The Table

• Ability to visually present modelling outputs, insights, and findings for technical and non-technical audiences
• Bachelor's degree in computer science, Artificial Intelligence, Machine Learning, Econometrics, Applied Statistics, Physics, Engineering or related field.
• Business and commercial acumen
• Analytics professional with a minimum of 3 years' experience in advanced analytics positions, and a total of 5 years' experience in data-related roles
• Track record in designing and delivering data driven actionable solutions
• Knowledge and understanding of statistical and machine learning modelling concepts and processes such as, dimension reduction, hyperparameter tuning, feature selection, data sampling, and model evaluation
• Experience implementing statistical and machine learning models such as GLM, Time Series Modelling, Neural Networks, Decision Tree Ensemble Methods, Clustering etc.
• Extensive experience with at least in Python and Sql
• Ability to engage and influence business users in the opportunity and benefit from data driven decisions
• Experience with one or more of the following will be highly regarded:
• Demonstrated business acumen
• Productionising models, including testing frameworks
• Cloud, container, query languages and database technologies

Why OneDigital?
Working in a community of industry-leading innovators with a diverse and deep set of skills and experience, you will learn, collaborate, and co-create to achieve great things.

• You'll have ownership of your role, which will allow you to find the right balance between stretch and sustainability, work, and life.
• Culture of comradery and collaboration - OneTeam
• Plus, all the tools and learning you need, the tone is set for you to shine and succeed.
• We know that diversity fosters greater innovation and better customer connection, so we strive to create a team where everyone feels like they belong. We support diversity, inclusion and we are a gender-neutral organisation. We celebrate individuals at their core, so they shine to their best.

Team Benefits
– just to name a few

To support you at work, what you value in life and in the community, our team member benefits include:

• Access to the latest technologies
• An annual budget for your learning and development (this includes learning of your choice, certifications and more)
• Extended parental leave (16 weeks for primary carers), and paid volunteer days
• Flexible working – we balance working together with working flexibly
• People-focussed culture that celebrates achievements big and small
• Oh, and did I mention paid subscriptions and discount cards.

Next steps
If this sounds like your next career move, then click on the 'Apply' button now Please note that we may commence interviewing candidates prior to the application closing date.