Address
SalaryThe Commercial Analytics team is critical to the ongoing success of the CUB (Carlton& United Breweries) business. We leverage AI and Machine Learning (AI/ML) to develop commercial solutions in partnership with internal Commercial stakeholders.
Reporting into the Senior Commercial Analytics Manager, The Lead Data Scientist - Commercial Analytics will be a key enabler of the team to deliver end-to-end data science models by working closely with key stakeholders.
Key Accountabilities
- Develop and deliver end-to-end AI/ML models to solve commercial problems in a reproducible and pragmatic way for use across Commercials.
- Scope, design and implement models in accordance with Data Science Best Practice and MLOps principles to deliver quality-assured and business-valued intelligence.
- Mange and influence key stakeholders, managing expectations on deliverables and timeline in projects.
- Communicate complex data and algorithm in a consultative and customer-centric approach to stakeholders of all levels.
- Mature coding standards and execute code review as part of model development.
- Contribute to test design, code review, model monitoring, Data Science Best Practice and MLOps
- Identify opportunities to mature our best practice and modelling capability using current and modern data science approaches on our in-house data science platform.
- 3+ years of relevant work experience in data science, advanced analytics and/or deep learning in an enterprise-grade MLOps setting.
- Strong programming skills - highly proficient in Python(preferred) and/or R with extensive experience in modernised data science platform
- Strong knowledge and skills with CI/CD (e.g., Git, Gitlab, Jenkins, Bitbucket, etc).
- Demonstratable expertise in data science domains, such as Machine Learning, advanced analytics and modelling, Deep Learning, modern NLP (including applications of Transfer Learning), Image Processing or Object Detection
- Experience in the full lifecycle of developing, deploying and maintaining machine learning models in Big Data environments.
- Expertise with current Machine Learning and advanced modelling techniques and algorithms
- Strong communication skills to listen and capture business needs to apply data science approach and storytelling skills to relay model approach and outcome to stakeholders of all levels.
Asahi Beverages is a leading multi-beverage organisation with a rich and varied history. Our regional head office is based in Melbourne, with sales, manufacturing and distribution centres located across Australia and New Zealand. We produce and market some of Australia's most iconic beverage brands, including Schweppes, Pepsi Max, Gatorade, Cool Ridge, Great Northern, Carlton Draught, Vodka Cruiser, Asahi Super Dry and Allpress coffee. We have a great track record of success, we work at pace, our teams are high-performing, and there's always a lot going on. There are so many opportunities in our company for those ready to take them on!
We're proud of who we are, and humble in how we work - we believe in creating a culture of excellence, innovation, and diversity. We offer a range of benefits such as product discounts, flexible work arrangements, health and wellness programs, and learning & development opportunities. We are passionate about our commitment to the communities we serve and are clear on our role in enhancing environmental sustainability and social responsibility.
We are a Circle Back Initiative employer and commit to responding to all applicants.
Advertised: 02 Feb 2024 AUS Eastern Daylight Time
Applications close: 09 Feb 2024 AUS Eastern Daylight Time
