Data Scientist

We’re powered by purpose

Mable is an online platform connecting Australians looking for disability and aged care support to independent support workers. Since 2014, we’ve been helping our community live their kind of independence, and today we’re one of Australia's largest and fastest growing healthtech platforms.

We have been recognised in AFR’s Fast 100 list, Deloitte’s Tech Fast 50, and won the Australian Growth & Australian Technology Growth Company of the Year Award in 2020! So don’t miss your opportunity to join a thriving scale-up and deliver change to Australia’s care and support sector.

As a Data Scientist at Mable, you'll leverage your expertise in data science to enhance our matching capability. You'll be responsible for researching, improving, and developing machine learning models to optimise external and internal customer-facing recommendations/tools. This role requires a blend of technical prowess, strategic thinking, and collaboration across cross-functional teams. You will be at the heart of a fast-paced, high growth environment where you will help drive real-world impact.

• Enhance and optimise the existing machine learning powered matching systems to improve how clients and workers connect effectively on our marketplace.
• Research and develop state-of-the-art data science solutions to address emerging business needs and market expansion opportunities.
• Conduct exploratory analysis to identify trends, insights, and verify hypotheses to identify not only what is happening, but why it is happening and what it means
• Analyse A/B tests to evaluate the effectiveness of new features and processes
• Communicate complex technical concepts and insights to non-technical stakeholders effectively
• Partner with product managers, software engineers, data/ML engineers and UX designers to to operationalize and enhance production-grade data science services
• Create and maintain dashboards to present insights and performance metrics
• Ensure all data analysis adheres to privacy and security policies

• 2+ years of industry experience in providing data science solutions
• Proficiency in ML model development and analytics tools such as Python
• Ability to productionise machine learning solutions
• Familiarity with data visualisation and data storytelling
• Initiative and ownership to deliver work with autonomy
• Collaboration skills to partner effectively with multiple stakeholders
• A "solutions mindset" of natural curiosity and a strong motivation to solve problems, no matter how complicated or ambiguous they might be
• Comfort with ambiguity, a fast-paced environment, and rapid business growth
• Above all else, a "can-do" attitude is the most important qualification!

• Knowledge and/or experience of recommender systems and/or matching models.
• Knowledge and/or experience in two-sided marketplaces, understanding the challenges of matching supply and demand.
• Experience and/or knowledge in probabilistic models and/or deep learning.
• Familiarity with unstructured data, particularly text.
• Proficiency with data/analytics platforms such as Databricks and AWS.
• Experience in A/B test design and feature effectiveness analysis.

Our Values

We’re Switched On

We know our customers because we listen and want to learn. We engage within the community and the sector and always act on insights.

We’re Bold

We’re ambitious and embrace creativity to solve challenges. We’re here to reshape the industry and back big ideas.

We’re One

We channel our passion into a positive environment. We welcome diversity and collaborate to make the most of our different skills and ways of thinking.

We’re Impactful

We work hard to deliver change. We innovate and move fast to make a difference in the sector and people’s lives.

Our Benefits

Power your career ️

Learn from industry experts, experienced leaders, and on-the-job opportunities.

Work away

Get a creative boost working overseas for 4 weeks in a rolling 12-month period.

Access parental leave

Get 14 weeks of paid leave for primary carers and 6 weeks of paid leave for secondary carers plus superannuation.

Work with flexibility

We’re a hybrid workplace. Collaborate at home or in the office - whatever works for you and your team.

Take a floating public holiday ????????

Acknowledge a significant day your way with family and friends.

Be rewarded

Celebrate wins and recognise great performance with an easy and accessible Reward and Recognition program.

Get paid to take a break ️

Celebrate your birthday, take a wellbeing break, volunteer - access paid leave days for what makes you happy.

Inclusion at Mable

Mable is an equal opportunity employer. We find excellence in diversity and are committed to creating an inclusive environment for all employees and candidates.

People with lived experience of disability or personal experience with the aged care system are strongly encouraged to apply.

We take pride in highlighting our dedication to our policies, fostering flexible work arrangements and championing inclusive practices for women in tech.

If this role has stood out to you but you don’t feel like you ‘tick all the boxes’, we strongly encourage you to apply nonetheless. We value diversity across experience and you might well bring something to the Mablehood we are looking for!

We are a 2023 Circle Back Initiative Employer – we commit to respond to every applicant.

Where to find us online

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