Data Scientist
InDebted
Data Science
Sydney, NSW, Australia
Posted on Friday, April 19, 2024
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