Pyramid Technology Solutions
Lead Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Scientist in Mountain View, CA, hybrid, for 9+ months. Key skills include expert Python, C++, PyTorch, and experience in procedural generation and scientific computing. Strong mathematical background required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
February 20, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Mountain View, CA
-
🧠 - Skills detailed
#ML (Machine Learning) #"ETL (Extract #Transform #Load)" #SciPy #Data Science #NumPy #C++ #Statistics #PyTorch #Mathematics #Calculus #AI (Artificial Intelligence) #Python
Role description
Position: Lead Data Scientist
Location: Mountain View, CA - Hybrid
Duration: 9+Months with possible extensions
Main skills: Python (NumPy/SciPy/CuPy), C++, PyTorch, Geostatistics, 3D Mathematics, CUDA/OpenMP, AI-assisted coding
The Role:
This is an implementation-heavy position bridging procedural physics and generative ML. You'll translate complex mathematical logic and latent-space models into performant code, solving high-dimensional geometric problems at scale. Scientific Software Engineer or Computational Scientist with a niche background in scientific simulation, procedural generation, or computational physics. This is an implementation-heavy role requiring a developer who can translate complex mathematical logic and generative ML models into performant code to solve high-dimensional geometric problems.
What We're Looking For:
Core Competencies:
• Procedural Generation: Terrain synthesis, voxel engines, noise-driven systems
• Scientific Computing: CFD, FEA, multi-physics solvers
• Computational Geometry: 3D mesh processing, volumetric data structures, spatial partitioning
Required Technical Skills:
• Languages: Expert Python (NumPy/SciPy/CuPy); proficient C++ for performance kernels
• Mathematics: Linear algebra, vector calculus, coordinate transformations
• ML Frameworks: PyTorch (generative AI, computer vision)
• Performance: CUDA/OpenMP; parallel computing experience
• Workflow: AI-assisted coding for rapid prototyping and testing
Position: Lead Data Scientist
Location: Mountain View, CA - Hybrid
Duration: 9+Months with possible extensions
Main skills: Python (NumPy/SciPy/CuPy), C++, PyTorch, Geostatistics, 3D Mathematics, CUDA/OpenMP, AI-assisted coding
The Role:
This is an implementation-heavy position bridging procedural physics and generative ML. You'll translate complex mathematical logic and latent-space models into performant code, solving high-dimensional geometric problems at scale. Scientific Software Engineer or Computational Scientist with a niche background in scientific simulation, procedural generation, or computational physics. This is an implementation-heavy role requiring a developer who can translate complex mathematical logic and generative ML models into performant code to solve high-dimensional geometric problems.
What We're Looking For:
Core Competencies:
• Procedural Generation: Terrain synthesis, voxel engines, noise-driven systems
• Scientific Computing: CFD, FEA, multi-physics solvers
• Computational Geometry: 3D mesh processing, volumetric data structures, spatial partitioning
Required Technical Skills:
• Languages: Expert Python (NumPy/SciPy/CuPy); proficient C++ for performance kernels
• Mathematics: Linear algebra, vector calculus, coordinate transformations
• ML Frameworks: PyTorch (generative AI, computer vision)
• Performance: CUDA/OpenMP; parallel computing experience
• Workflow: AI-assisted coding for rapid prototyping and testing
