Data Scientist (Analysis Stream)

• An opportunity to discover insights and predict behaviour to add value across the organisation
• Permanent full-time opportunity
• Based in Melbourne, Sydney, or Brisbane with WFH flexibility

Discover life-giving possibilities

Lifeblood is more than just a job or a career, it’s an opportunity to be part of something that matters. As an organisation, our purpose is simple: to give life. Together, we want to help you build a fulfilling career with Lifeblood. 

About the role  

As a Data Scientist you’ll use your high level of creative thinking and ability to analyse data to propose innovative ways to view problems and validate findings through an experimental approach. Collaborating with stakeholders across the business, you’ll design and support the application of machine learning, statistics and advanced analytics concepts and models to extract insights from datasets. 

This is a fantastic opportunity to be part of a team that predicts behaviour to develop and embed solutions across the organisation that will uplift the experience of our Donors, recipients, and customers.

A day in the role will see you:

• Work closely with Data Engineers, Architects, Analysts and Business Intelligence developers to improve understanding of the impact of new or changed findings and results
• Provide recommendations on improvements to algorithms that can potentially lead to new findings
• Prepare data and visualisations that informs constructive business decisions
• Conduct deep dive analysis and data reports on ad-hoc strategic issues, including tests of ‘cause & effect’ hypotheses
• Modify and create scripts and queries to satisfy ad-hoc analysis and reporting requirements
• Present ideas and findings to internal and external stakeholders with different level of technical knowledge

Sound interesting? Here’s what we’re looking for: 

• Experience with Git, CI/CD pipelines and MLOps. Internally we use Azure DevOps, and Databricks. 
• Ability to work with varied stakeholders in an Agile environment 
• Strong programming skills in analytics packages such as R or Python
• Proven skills in Predictive Analytics and Machine Learning, data analysis, discovery and preparation skills using SQL
• Demonstrated experience in the implementation of data analytics and/or evaluation methods for business improvement
• Proven skills in statistical analysis including regression analysis and statistical modelling including technique such as GAM, GLM, mixed-effects, Bayesian. 
• Tertiary qualification in mathematics, statistics, or computer science or a related field, or a sound understanding gained from experience accepted as being professionally equivalent

Thrive in a diverse culture that cares for your wellbeing 
We’re a diverse and inclusive bunch. We’re proud to foster an environment where all people can come together to achieve their very best. Whether it’s workplace safety or work/life balance, we look after our employees’ varying needs. As part of the Lifeblood team, you’ll have access to a generous salary packaging program, plus a great range of rewards like discounts on insurance, groceries, food & beverage, department stores, travel, and more.
 
Excited about this opportunity? Apply now!

Next steps 
When it comes to recruitment we like to move fast, this means we progress suitable candidates through the hiring process as soon as we can.

You’ll hear from us with an outcome after your application has been reviewed and assessed. 

If selected, you’ll be required to complete a few background checks and we’ll help you through this process. 

If you require reasonable adjustments during the recruitment process, please reach out to us. 

For further details on this position, please contact Tayler [email protected]. 
**Please note, we cannot accept applications via email. Please apply online if interested.

This vacancy is being managed directly by Lifeblood’s Talent Engagement team. We won’t accept candidates from external recruitment agencies on this occasion.