Data Scientist

About the role

DuluxGroup is proudly an equal opportunity employer Talent is our only criteria. Let us know by emailing ************@duluxgroup.com.au if you require any adjustments to the recruitment process so we can support you to present your best self. 

The Data Scientist is a crucial member of the Data Science C.O.E within the Data & Analytics Team of the IT&DE department of DuluxGroup. This role’s primary responsibility is to engage in hands-on data science projects to empower and enable our business-counterparts in making informed and proactive decisions that will deliver meaningful outcomes for the Group, our customers, and consumers.

1. The Data Scientist will play a key role in understanding the data landscape across the various SBU’s within DuluxGroup.
2. They will engage in responsibilities to tackle business problems through the usage of supervised, unsupervised, and in some instances semi-supervised ML.
3. Through your work, you will be able to impact decision making by enabling efficient targeting, recommending the right product/service, optimizing spend, mitigating risk through proactive predictive modelling.
4. Working with and developing under the leadership of the Principal Data Scientist, you will have an opportunity to pave the way for Data Science capability-uplift and proliferation across the business and thus grow yourself as an individual.

Key accountabilities:

Data Science Core

1. Ability to conduct structured EDA as a pre-requisite to any modelling exercise.
2. Application of ML algorithms to address business problems and drive value and growth opportunities.
3. The ability to showcase the findings from a DS process in a clear manner to a wide audience.
4. Display drive and curiosity to understand the business process to its core to identify how data can help improve growth and efficiency across our businesses.
5. Network with domain experts to better understand the business mechanics that generated the data.

Data Science Tools and Techniques

Preferred experience in the following technologies and methodologies:

1. Jupyter-Notebooks/ Python, R programming
2. Boosting, Bagging, Neural Nets
3. Exposure to Azure ML/Databricks ML/Aws SageMaker is a plus.
4. Model monitoring and tuning.
5. PIR to demonstrate incremental benefit realization.

Data Science Development and Excellence

1. Technical asset with lateral-thinking and a mindset of generating efficiencies through DS and ML.
2. Become a crucial member of a new team that is entrusted to bring about capability-uplift through Data Science projects and programs of work.
3. Share your work with the Analytics community and demonstrate the possibilities that ML and DS bring.
4. Machine learning (ML/AI) modelling, management and problem analysis, data exploration and preparation, data collection and integration, operationalization

Safety & Sustainability   

Ensure that the function’s short- and long-term activities comply with the company policy and do not endanger or harm employees, customers, the environment, or the community through personal leadership on safety issues within the IT team.

1. Lead and participate in S&S activities.
2. Keep S&S on the agenda with the IT&DE and Data & Analytics teams.
3. Ensure that the function’s short- and long-term activities comply with the company policy and do not endanger or harm employees, customers, the environment, or the community through personal leadership on safety issues within the IT team. 

Your background and education

1. Bachelor’s degree in an engineering discipline, mathematics, physics, data science, computer science. Post-grad qualification is a plus.
2. Two or more years of experience in data science and advanced analytics.
3. Experience within, or from adjacent industries, is preferred.
4. Candidates should ideally exhibit project experience in applying ML and data science to business functions.

Your skills and experience

1. Experience in one or more of the following commercial/open-source exploratory and modelling platforms: MS Azure-ML, Databricks ML, Aws SageMaker, Google Cloud ML, Anaconda Jupyter-NB/Lab, RStudio
2. Experience in solving problems in one or more of these domains: churn, x-sell, up-sell, product-associations, potential-value estimation, optimization, resource allocation, forecasting.
3. Experience in Python, R, PySpark.
4. Experience in structured query language.
5. Confident, energetic self-starters, with strong communication skills.
6. Ability to work in diverse, cross-functional teams in a dynamic, fast-paced and matrix business environment.

Why DuluxGroup? 

As a member of our team, you'll unleash your potential, grow, achieve and thrive with us.  

We offer a fast-paced work environment that values collaboration, rewards high-performance, and inspires innovation.  

But it's not just about the work - it's also about the people.  

At DuluxGroup, we foster a culture of inclusion, diversity, and flexibility. We care about your wellbeing, and we prioritise your safety in everything we do. You'll work alongside people who value your unique perspectives and contributions.  

If you're ready to join a compassionate and collaborative workplace, your opportunity starts here.  

Benefits  

• Opportunities to work flexibly at all stages of your career 
• Enjoy comprehensive, holistic health and well-being support, including our Wellbeing Hub and full EAP support 
• Let us cover the gap for you, employees with private health insurance extras cover can claim up to $1000 out of pocket gap costs annually   
• Give back to the communities in which we live and work, with our “Community Action Day” and other programs 
• Market leading Learning and Development initiatives and genuine career pathways to accelerate your growth 
• 20 weeks paid parental leave (primary carers) and 2 weeks paid partner leave available from the first day you start working with us.  
• Feel truly valued through our employee recognition programs 
• Enjoy generous discounts on DuluxGroup products and through our corporate partnerships 

Realising your full potential starts here 

At DuluxGroup, we believe in the power to 'Imagine a better place', and we want you to be a part of it! 

You'll work with iconic, trusted household brands with a 100+ year history, have the stability of working for a global company and your work will have a real impact. Join us and be part of our growth trajectory as we continue to expand our business globally and innovate in our industry.  

Applicants must have sufficient working rights for this role.  

How to apply 

Click APPLY