Senior Data Scientist

at  VALD

VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to 6,500 clients in over 100 countries. If you have a favorite team in the NBA, EPL, or NFL, there’s a good chance they use VALD Technologies.
Since its humble beginnings in 2015 in Brisbane, Australia, VALD has grown to a team of over 200 team members in over 30 countries, with 5 offices across four continents.
Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD’s suite of systems offer unparalleled insight into human movement, performance, injury risk and rehabilitation.

ABOUT THE ROLE

VALD is building the world’s largest musculoskeletal database, with over two billion data points and counting. Using this data, we can help practitioners to objectively assess patients’ progress and make more accurate, data-informed treatment decisions. We are looking for an experienced data scientist to join our growing team and build the technical foundations for VALD’s future growth.

IN THIS ROLE, YOU WILL:

• Develop, test and deploy machine learning models for applications such as outlier detection, rehabilitation trajectory modeling, and predictive device maintenance.
• Enhance VALD’s text-to-SQL generative AI tool in Databricks Genie, empowering internal stakeholders to unlock the value of our data.
• Create and optimize reporting dashboards in Databricks AI/BI Dashboards and Power BI to surface critical insights for VALD’s Product and Commercial teams.
• Automate the analytics pipeline to establish a normative data repository, enabling practitioners to easily benchmark patients’ performance against a reference group.
• Conduct ad-hoc data analysis to support various initiatives across VALD, including patient rehabilitation analytics and customized normative data reporting.
• Own and maintain the data science codebase, implementing best practices in development life cycle management and source control.