Senior Data Scientist

SGF Global • United State
Relocation
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AI Summary

We are seeking a motivated and detail-oriented Data Scientist to contribute to building, training, and deploying large-scale models. The ideal candidate will have expertise in self-supervised and semi-supervised learning techniques and proficiency in model architectures such as RNNs, Transformers, and CNNs. This role requires strong programming skills in Python and C/CUDA.

Key Highlights
Build, train, and deploy large-scale models
Process and analyze time series and sensor data
Integrate heterogeneous data types into robust deep learning architectures
Key Responsibilities
Build, train, and deploy large-scale, self-supervised models
Process and augment time series and sequential sensor data
Analyze diverse sensor modalities and handle real-world noise/artifacts
Technical Skills Required
Python C/CUDA PyTorch TensorFlow RNNs Transformers CNNs
Benefits & Perks
Competitive salary
Stock options
Relocation assistance
Nice to Have
Experience with multi-modal learning and cross-modal representation learning
Knowledge of large-scale training techniques and data engineering

Job Description


Job Title: Data Scientist

Location: Houston, Texas, USA (Hybrid work model with 2 days in-office and 3 days work-from-home)

Employment Type: Permanent


About the Role

We are looking for a motivated and detail-oriented Data Scientist to join our client's team in the technology sector. In this role, you will contribute to building, training, and deploying large-scale, self-supervised "foundation" models, processing and analyzing time series and sensor data, and integrating multi-modal data for industrial and scientific applications.


Responsibilities:

  • Build, train, and deploy large-scale, self-supervised models for various applications.
  • Process and augment time series and sequential sensor data.
  • Analyze diverse sensor modalities and handle real-world noise/artifacts.
  • Integrate heterogeneous data types into robust deep learning architectures.

Requirements:

  • Expertise in self-supervised and semi-supervised learning techniques.
  • Proficiency in model architectures such as RNNs, Transformers, and CNNs.
  • Strong programming skills in Python and C/CUDA.
  • Experience with deep learning frameworks like PyTorch and TensorFlow.
  • MS / Ph.D. in computer science, data science, AI, or related fields.
  • 3 years of relevant experience in data science and AI.

Preferred Qualifications:

  • Experience with multi-modal learning and cross-modal representation learning.
  • Knowledge of large-scale training techniques and data engineering.


Salary & Benefits:

Competitive salary with stock options and other incentives.

Relocation assistance available.


Who We Are

SGF Global is an integrated talent solutions provider, offering staffing, recruitment, Employer of Record (EOR), nearshore, and consulting services across a wide range of industries in 35 countries. We’re a dynamic, people-first organization where fresh ideas are always welcome. Our culture is built on collaboration, innovation, and a genuine passion for helping people grow. At SGF Global, smiles are part of the dress code, and every voice matters. Are you looking to join an organization where your ideas are valued, your growth is supported, and your work makes a global impact? We’re always looking for talented individuals who are ready to make a difference.

  • Explore opportunities
  • Grow your career
  • Be part of something global
  • Your future starts here.


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