BioCatch is the leader in Behavioral Biometrics, a technology that leverages machine learning to analyze an online user’s physical and cognitive digital behavior to protect individuals online. BioCatch’s mission is to unlock the power of behavior and deliver actionable insights to create a digital world where identity, trust, and ease coexist.Today, 34 of the world's largest 100 banks and 210 total financial institutions rely on BioCatch Connect™ to combat fraud, facilitate digital transformation, and grow customer relationships.. BioCatch’s Client Innovation Board, an industry-led initiative including American Express, Barclays, Citi Ventures, and National Australia Bank, helps BioCatch to identify creative and cutting-edge ways to leverage the unique attributes of behavior for fraud prevention. With over a decade of analyzing data, more than 80 registered patents, and unparalleled experience, BioCatch continues to innovate to solve tomorrow’s problems. For more information, please visit www.biocatch.com.
BioCatch is looking for a Data Scientist to join our team.
The ideal candidate is a highly motivated and self-driven individual with strong analytical and problem-solving skills. The Data Scientist will be responsible for analyzing data and developing models to help inform decisions and strategies for new products and business initiatives.
Location: Melbourne (preferred) or anywhere in Australia
Responsibilities:
- Work closely with stakeholders to understand business requirements and develop predictive models to detect fraud.
- Develop and implement statistical models, machine learning and deep learning algorithms to solve complex problems in a production environment.
- Perform exploratory data analysis and data visualization to gain insights and communicate findings.
- Collaborate with cross-functional teams, including data engineers and software developers, to design and implement end-to-end solutions that can be deployed in production.
- Implement advanced analytics tools and technologies to enhance reporting capabilities.
Requirements
- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
- Minimum of 5 years of experience as a Data Scientist or in a related field, with experience working in a production environment or PHD with relevant experience
- Strong programming skills in Python and proficiency in SQL.
- Deep understanding of statistical analysis, machine learning, deep learning and data visualization techniques.
- Strong communication and collaboration skills to work effectively in a team environment.
- Skills in developing AI agents, such as LLM-based assistants or autonomous workflows - advantage
