Woolworths Group

Data Scientist

We create better experiences together for a better tomorrow.

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  • Data and Analytics

  • Full-time

  • Hybrid | Sydney, NSW, AU

  • Visa sponsorship · No

  • Mid Level · A role for someone with some well-developed knowledge and skills they can bring to the role and team. Typically within 2-5 years of experience.

  • ·

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Katie Neill

Hiring manager, Woolworths Group

Why Woolworths Group

Woolworths Group is a food and everyday needs retailer united by the shared purpose of creating better experiences together for a better tomorrow. With more than 1,400 stores across its Woolworths Supermarkets, Countdown Supermarkets (New Zealand) and BIG W brands, and fast-growing eCommerce & B2B businesses, Woolworths Group is Australia and New Zealand’s largest retailer. A top 10 company on the Australian Securities Exchange (ASX), Woolworths Group employs more than 180,000 team members and serves more than 20 million customers a week.

About the role

We are looking for a Data Scientist to work in the wiq Data Science and Analytics team and as part of HomeRun, supporting projects in the last mile problem space to develop and implement machine learning and mathematical optimisation models to drive last mile efficiencies and increase customer convenience and satisfaction.

You will create and manage the pipeline of work to ensure delivery within timeframes & ensure effective adoption of data science models and outputs. You will champion data science across numerous stakeholders to demonstrate the benefits of data science in driving improved business outcomes.

  • Working closely with key stakeholders to understand business questions and execute data science projects that deliver business solutions
  • Developing data science products and solutions for our stakeholders as well as for our data science team
  • End-to-end data science execution including scoping, building, testing, implementation, maintenance, tracking and optimisation of predictive models
  • Writing highly optimised code to advance our internal Data Science Toolbox
  • Working in a multi-disciplinary environment with specialists in machine learning, engineering, and data engineering
  • Adding real-world impact to your academic expertise, as you will need to create documentation and present at meetings to non-technical stakeholders who need to understand what you are presenting

What you'll be responsible for

  • 🤖

    Model Deployment

    Design, build and deploy Machine Learning pipelines to provide predictions to users at scale

  • 🔎

    Data Analysis

    Analyze data to discover and communicate insights that support decision-making

  • 𝌭

    Predictive Modeling

    Build and validate statistical and mathematical models to predict likely outcomes

Skills you'll need

  • 🧮

    Numerical problem solving

    Works with numerical information and performs mathematical calculations to solve problems

  • 💭

    Critical thinking

    Identifies and synthesizes patterns and trends amongst various sources of information to reach a meaningful conclusion, perspective or insight

  • 🔍

    Attention to detail

    Accurately identifies and rectifies discrepancies or errors that exists in information and deliverables

Meet the team

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Woolworths Group

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