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Mable

Senior Data Scientist (12 Month Contract)

Posted 14 Days Ago
Be an Early Applicant
Hybrid
3 Locations
Senior level
Hybrid
3 Locations
Senior level
As a Senior Data Scientist, lead machine learning initiatives, conduct data analysis, develop scalable models, and communicate insights across teams.
The summary above was generated by AI

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 Senior Data Scientist at Mable, you’ll have the opportunity to work across a diverse portfolio of data science initiatives spanning multiple business domains. Whether it’s optimising customer experiences, driving operational efficiencies, or unlocking new growth opportunities, your work will have a direct and measurable impact.


You'll be joining a fast-paced, high-growth environment where you'll apply your expertise in machine learning, statistical modeling, and AI to develop innovative data-driven solutions. You will collaborate with cross-functional teams, leverage cutting-edge infrastructure, and have the chance to work on initiatives that include generative AI, advanced analytics, and experimentation.


This is an exciting opportunity to shape and influence Mable’s data science strategy while tackling complex challenges that drive real-world outcomes.

What will I be doing?

  • Lead the development of machine learning and AI-driven solutions to support strategic business initiatives across different domains.
  • Conduct exploratory data analysis to uncover trends, generate insights, and support data-driven decision-making.
  • Experiment and optimise by designing A/B tests and evaluating their effectiveness.
  • Collaborate cross-functionally with product managers, engineers, analysts, and UX designers to operationalise models and analytics solutions.
  • Develop scalable and production-ready models that drive business impact.
  • Communicate complex insights effectively to both technical and non-technical stakeholders.
  • Leverage Mable’s robust data infrastructure and cloud-based platforms to build, deploy, and monitor models in production.
  • Stay ahead of the curve by exploring and adopting emerging technologies, including generative AI.

What are we looking for?

  • 4+ years of industry experience in building and deploying data science solutions.
  • Strong understanding of statistical modelling and machine learning techniques.
  • Proficiency in Python and experience with ML development frameworks.
  • Hands-on experience with data analysis, feature engineering, and model evaluation.
  • Ability to translate business problems into data-driven solutions.
  • A solutions mindset with a strong motivation to tackle complex and ambiguous challenges.
  • Collaboration and communication skills to work effectively across teams.
  • Experience with cloud-based platforms and MLOps tools (e.g., Databricks, AWS, etc.).

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, balancing time in the office with remote work.


Hybrid set up allowance 🖥️

Create your perfect home office setup! Whether it’s a comfy chair, a second screen, or faster Wi-Fi, we support you in making your home office more comfortable.


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 🏝️

Get one extra paid leave day per quarter 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

Careers Page - https://bit.ly/3Mz8Ym1

Glassdoor - https://bit.ly/3z0K328 

YouTube - https://bit.ly/34L7DlP 

Instagram - https://bit.ly/3pgAOXk 

Facebook - https://bit.ly/3ic6LhQ 

LinkedIn - https://bit.ly/3ie6Q4U 

Top Skills

AWS
Databricks
Ml Development Frameworks
Python

Mable Melbourne, Victoria, AUS Office

Melbourne, VIC, Australia

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