CFE - Data Scientist

This role impacts the future of how we develop our devices. This role will quantify, and visualize the effects of fit system donning and stability on our critical VR systems (display and optics, eye tracking, face tracking, hand tracking)CFE - Data Scientist Responsibilities

Co-develop a simulation tool that merges subsystem key performance indicators with fit system data

Parse and query data relating to physical fit and human factors, often involving physical and mechanical behaviors, high volume spatial/3-dimensional data, and motion over time

Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement

Collaborate cross-functionally with engineering, design, and product teams to translate ergonomic insights into actionable product requirements and design improvements

Bachelor's degree in computer science, or related field

6+ years of experience with Python for statistical analysis, signal processing, and machine learning (NumPy, Pandas, Matplotlib, SciPy, scikit-learn, Jupyter, MATLAB)

2+ years of experience working with large spatial or anthropometric datasets and 3D analysis tools (scipy.spatial, Shapely, Rhino/Grasshopper, Blender)

2+ years of experience making interactive visualizations, dashboards, realtime applications, and data collection pipelines (Plotly, PyQt, OpenGL/Vulkan/etc., LSL, C++)

2+ years of experience practicing coding best practices and version control (Git/GitHub, Mercurial)

Demonstrated ability to communicate statistical concepts

Experience or familiarity with 3D scanning, motion capture (especially Qualisys), and eye tracking (especially Tobii)

Familiarity with product development workflows including CAD, FEA, and rapid prototyping

10+ years of experience with Python for statistical analysis, signal processing, and machine learning (NumPy, Pandas, Matplotlib, SciPy, scikit-learn, Jupyter, MATLAB)

5+ years of experience working with large spatial or anthropometric datasets and 3D analysis tools (scipy.spatial, Shapely, Rhino/Grasshopper, Blender)

5+ years of experience making interactive visualizations, dashboards, realtime applications, and data collection pipelines (Plotly, PyQt, OpenGL/Vulkan/etc., LSL, C++)

5+ years of experience practicing coding best practices and version control (Git/GitHub, Mercurial)

Experience developing plugins and using API’s for Rhino, Grasshopper, and Qualisys

Experience developing games, VR applications, or realtime applications with modern graphics APIs and toolkits like Vulkan, OpenGL, Unreal, Unity, and OVRServer

Robotics, mechatronics, and instrumentation experience

Minimum QualificationsPreferred Qualifications For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
US$139,000/year to US$200,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.