Senior Data Scientist

2 weeks ago

Brisbane, Queensland, Australia Mable Full time
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 Senior Data Scientist at Mable, you'll leverage your expertise in data science and/or recommender systems 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.
What will I be doing?


Enhance and optimise the existing machine learning powered matching systems to improve how clients and workers connect effectively on our marketplace.

Lead the research and development of 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 meansAnalyse A/B tests to evaluate the effectiveness of new features and processesCommunicate complex technical concepts and insights to non-technical stakeholders effectivelyPartner with product managers, software engineers, data/ML engineers and UX designers to to operationalize and enhance production-grade data science servicesCreate and maintain dashboards to present insights and performance metricsEnsure all data analysis adheres to privacy and security policiesWhat are we looking for?

4+ years of industry experience in providing data science solutionsStrong understanding of statistical modelling and machine learning techniquesProficiency in ML model development and analytics tools such as PythonFamiliarity with data visualisation and data storytellingInitiative and ownership to deliver work with autonomyCollaboration skills to partner effectively with multiple stakeholdersA "solutions mindset" of natural curiosity and a strong motivation to solve problems, no matter how complicated or ambiguous they might beComfort with ambiguity, a fast-paced environment, and rapid business growthAbove all else, a "can-do" attitude is the most important qualificationWhat else would make a difference?

Design and productionizing of recommender systems and/or matching models.
Knowledge and experience in two-sided marketplaces, understanding the challenges of matching supply and demand.
Experience and/or knowledge in probabilistic machine learning models, enhancing prediction accuracy and uncertainty estimation.
Experience and/or knowledge in deep learning models, leveraging neural networks to conquer complex prediction tasks and high-dimensional data.
Proficiency in working with unstructured data, particularly text.
Proficiency with data/analytics platforms such as Databricks and AWS.Previous experience in A/B test design and feature effectiveness analysis.
Our Values

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 ambitious and embrace creativity to solve challenges. We're here to reshape the industry and back big ideas.
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 work hard to deliver change. We innovate and move fast to make a difference in the sector and people's lives.
Learn from industry experts, experienced leaders, and on-the-job opportunities.
Get a creative boost working overseas for 4 weeks in a rolling 12-month period.

Access parental leaveGet 14 weeks of paid leave for primary carers and 6 weeks of paid leave for secondary carers plus superannuation.

Work with flexibilityWe're a hybrid workplace. Collaborate at home or in the office - whatever works for you and your team.
Acknowledge a significant day your way with family and friends.
Be rewardedCelebrate 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 MableMable 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 forWe are a 2023 Circle Back Initiative Employer – we commit to respond to every applicant.

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