Role overview
Fit:match is a B2B2C technology company on a mission to revolutionize the apparel industry through data science to deliver increased relevance and satisfaction for shoppers, improve retail economics, and help the industry as a whole make significant strides towards sustainable apparel retail. We are looking for people who share the same passion.
Fit: Match is backed by an investor group including experienced angel investors, institutional firms, and multi-billion dollar retailers. The best part of working at Fit:Match is without a doubt, the people. We pride ourselves on hiring team members who embody our people characteristics of low ego, collaboration, dependability, and proven domain expertise. At Fit:Match, you would work cross-functionally with another top global talent with experience in the technology, data science, apparel design and fit, marketing, and retail industries. We obsess over growth, speed, and accuracy. We love a scrappy idea, an out-of-the-box growth hack, and live for reimagining and trying new things.
What you'll work on
- Develop, train, and deploy machine learning and deep learning models for spatial analysis of 3D human body scans.
- Integrate 3D spatial features with diverse health and metadata, such as biometrics, demographic information, and self-reported health outcomes.
- Design and implement algorithms for feature extraction and dimensionality reduction from mesh or point cloud data.
- Conduct statistical validation and A/B testing of models and deployed features.
- Collaborate with software engineers and domain experts (e.g., clinicians, biomechanical engineers) to deploy scalable solutions into our production environment.
- Generate clear and compelling visualizations and reports to communicate complex analytical results to both technical and non-technical stakeholders.
What we're looking for
The successful candidate must possess deep expertise in the following areas: