VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to over 8,000 clients in over 150 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 300 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:
- Lead improvements in VALD’s normative data generation processes, further enabling practitioners to easily benchmark patients’ performance against a reference group.
- Develop, test and deploy machine learning models for applications such as data quality improvements, rehabilitation trajectory modelling, and predictive device maintenance.
- Apply dimensional modelling expertise to further enhance the Gold layer of the VALD Lakehouse, improving how data products are served to clients.
- Conduct ad-hoc data analysis to support various initiatives across VALD, including patient rehabilitation analytics and customized normative data reporting.
- Contribute to and maintain the data science codebase, implementing best practices in development life cycle management and source control.
Is this you?
Our ideal candidate has:
- Tertiary qualifications in mathematics, statistics, engineering, or a related field.
- Proficiency in Python (including PySpark and ML libraries), Databricks, SQL, Git, R, Excel, Power BI and R.
- Proven experience building machine learning models in Python.
- Expertise in delivering dimensional data models using Kimbal principles.
- Familiarity with cloud infrastructure and its application in data science.
- All the attributes that make a great data scientist – curiosity, attention to detail, teamwork, communication skills, a passion for problem-solving, and a willingness to meet deadlines.
- Ability to handle ambiguity and thrive in a startup environment.
Why VALD?
An opportunity to be part of revolutionizing the health and performance industries is just the beginning when you join VALD.
We have a range of benefits we offer to our team, such as:
- The opportunity to work in a company that is redefining allied healthcare.
- Working with a range of high-performing individuals and teams across a range of disciplines.
- Working with contemporary tooling on industry first applications.
- Casual work attire.
- Chefs that prepare you delicious fresh breakfast and lunch.
- On-site barista to make your coffee just as you like it.
- Team gym, masseuse, and access to physiotherapy and exercise physiology services.
Diversity & Inclusion Commitment
VALD’s best asset is not our technology but our people and culture. A culture of inclusion and diversity is critical to our business. We know diverse teams perform better. It's not a separate initiative – we aim to embed inclusion and diversity in everything we do. We are committed to fostering an inclusive work environment and embracing diversity, including gender, nationality, disability, age, marital/parental status, ethnicity, gender identity, socioeconomic background and sexual orientation. We welcome applications from people from all backgrounds.
Apply now
In your cover letter, please share with us why you think your experience is relevant to this role and how this opportunity fits into your longer-term career goals. We can't wait to meet you and discuss what a career with VALD could look like for you!
Successful applicants will be subject to background checks (including identity and criminal record).
