Senior Data Analyst

3 days ago

Redmond, Washington, United States Vertisystem Full time
Job Description

**About the Role**

We are seeking a highly skilled Senior Data Analyst to join our team at Vertisystem, where you will play a key role in developing next-generation wearable technology. As a Senior Data Analyst, you will be responsible for providing statistical analysis and support for ongoing projects involving 3D scan data and human factors.

Key Responsibilities:

  • Analyze data derived from 3D scanned geometry (i.e. PCA on meshes, statistical shape modeling, landmark analysis) and human factors data to produce meaningful insights that drive product design.
  • Perform exploratory data analysis, identify issues in the data, and generate and test hypotheses to interpret the results of product experiments.
  • Plan and execute statistical analyses for large datasets (N=3000+ people), focusing on wearability and fitment, use large data infrastructure (SQL/NoSQL).
  • Develop reusable analysis code in Python, R, or similar languages.
  • Improve data analysis analysis pipelines with an emphasis on scalability and stability of various deployed systems.
  • Design and run ergonomic and human factors research studies, utilizing methods such as experimental design, survey analysis, motion tracking, and kinematics analysis.
  • Collaborate with scientists and engineers to translate research questions into analysis tools and results.
  • Provide data visualization support, including dashboards and ad-hoc requests, to convey complex information to stakeholders effectively through compelling storytelling.
  • Participate in cross-functional collaborations across Reality Labs, contributing to experiments, prototypes, and concepts that advance AR/VR systems.

Requirements:

  • Master's degree or equivalent experience in Computer Science, Biomedical Engineering, Mechanical Engineering, Statistics, Mathematics, Human Factors, or a related field.
  • 2+ years of experience in conducting research and statistical analysis for novel products.
  • Experience with Python and/or R.
  • Demonstrated ability to perform multivariate analysis (e.g., PCA on meshes, hierarchical regression modeling, machine learning) with a strong emphasis on deriving data insights from large datasets, identifying trends, and presenting findings.
  • Experience in 3D geometry analysis, human data, and user studies.

Preferred Qualifications:

  • PhD or equivalent experience in Computer Science, Statistics, Engineering, or related fields.
  • 5+ years of experience in applied research and/or product development related to 3D geometry analysis, particularly in wearable design.
  • Prior experience with computer vision, motion capture data analysis, 3D geometry (mesh processing, statistical shape modeling), FEA, and/or CAD.
  • Experience with Machine Learning models, deep learning frameworks, including PyTorch, and their application in 3D geometry analysis.
  • Experience with large database infrastructures (SQL/NoSQL).
  • Experience with emerging technologies in AR/VR/MR or wearable technology.

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