Data Scientist
InDebted
Data Science
Sydney, NSW, Australia
Posted on Friday, April 19, 2024
About Us
InDebted is changing the world of consumer debt collection for good. We’ve disrupted the traditional debt collection industry by providing businesses with a better way to support overdue customers to get back on track. Our solution is product-led, driven by AI and ML, and places customer experience at the core.
We’re fully remote, with a team of over 300 people living and working all around the world. Founded in Australia, we’ve since expanded into the United States, United Kingdom, Canada, and New Zealand. We’ve doubled our revenue year over year, with significant growth on the horizon. Now is an incredible time to join the team as we continue on our mission to help millions of consumers resolve debt, better.
Summary Description:
We are at the forefront of revolutionising our industry by leveraging machine learning models, conversational AI models, data-driven approaches, and innovative technology to accelerate our disruption of the traditional debt collection industry. By utilising the rich datasets, we have accumulated from communicating with our customers via digital-first channels and other innovations, we are able to efficiently deliver significantly better results compared to our industry peers.
We are seeking a passionate and experienced Data Scientist who can leverage their skills to drive business value by improving our key success metrics. You will play a vital role in developing machine learning and conversational AI solutions to resolve complex business problems, such as enhancing customer engagement, improving operational efficiency and improving collection performance. This involves end-to-end project management, ranging from the conceptualisation and innovation of solutions to the sourcing and processing of data, and to the development, deployment, and monitoring of machine learning models as well as prompt-engineered & fine-tuned large language models.
Duties and Responsibilities:
- Design, develop, and implement machine learning models or AI solutions to address business needs and improve key success metrics.
- Manage end-to-end data science project deployment and ensure seamless integration with existing systems and software.
- Leverage large datasets to explore, analyse, and interpret trends or patterns in complex data sets.
- Monitor and maintain deployed models to ensure they continue to perform as expected.
- Translate complex data science concepts into digestible insights to guide data-informed business decisions.
- Proactively identify opportunities for, and drive, business value by leveraging state-of-the-art techniques in data science and machine learning.
Required Attributes:
- Tech-savvy, results-oriented individual with a passion for data science and an appreciation of the commercial nature of the business.
- Proven experience as a Data Scientist or similar role, particularly in driving business value and improving key success metrics with data science solutions.
- Solid understanding and practical experience in machine learning techniques, including model development, deployment, and monitoring.
- Proficiency in Python and SQL (AWS Athena).
- Experience working with cloud-based data technologies and services (preferably AWS Athena, Lambda, S3, etc.).
- Extensive experience with data sourcing, processing, and manipulation.
- Strong communication skills, particularly in explaining complex ML problems and techniques to key stakeholders at all levels.
- Must have 1+ years of relevant experience in Data Science (DS), Data Analyst (DA), or as a Machine Learning Engineer (MLE) or other closely related positions in data fields.
Highly Valued Attributes:
- Bachelor’s degree in Mathematics, Statistics, Data Science, Machine Learning, Computer Science or a related STEM field.
- Familiarity with containerisation technologies and infrastructure as code tools such as AWS CDK and Terraform.
- Knowledge of and experience with large language models and frameworks.
Tech Stack:
- SQL, Python, AWS Athena, AWS Sagemaker, AWS S3, Langchain
Our Benefits
Recognised by the AFR as Australia's Best Place to Work in 2022, the benefits of life at InDebted include:
Flexible working - We’re a global, fully remote team passionate about making work, work for you
Employee equity - Access to share options in something big
Flexible paid leave - Our trust-based leave model enables you to choose when you take leave, how much you take, and what you take it for
Uprise - Our EAP Provider supports your physical, social & psychological wellbeing
Remote work set-up - Budget of AUD $750 (or local equivalent) to help you create a working environment that supports your productivity
At InDebted, we respect and celebrate the unique attributes, characteristics, and perspectives that make each person who they are. We also believe that bringing diverse individuals together allows us to build better products and a better overall company. InDebted is an Equal Opportunity Employer.
For Recruiters: We appreciate the interest of all candidates and recruitment agencies, however for this role we are managing this hiring process internally and will not be accepting applications through recruitment agencies. Thank you