5 applied scientist jobs at 5 companies in Conroe, TX

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Lead Data Scientist
Houston, Texas, United States
OnsiteFull Time
TGS
TGSOslo Stock Exchange: TGS: Provides subsurface data and intelligence to the energy sector.
5+ YOEMSc or PhD in a technical discipline, 5+ years applied data science experience, strong scientific ML and deep learning background, technical leadership and experimentation skills.
2w
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Data Scientist - Wireline
Houston, Texas, United States
OnsiteFull Time
Weatherford
WeatherfordNASDAQ: WFRD: Provides equipment and services for global oil and gas operations.
5+ YOEMaster's in applied math/Data Science/Physics,5+ years oil & gas experience,proficiency with large datasets,machine learning,statistical techniques,strong analytical and communication skills.
C, C++, Java, JavaScript, Python, R, SQL
1mo
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FWI & AI Scientist
Houston, Texas, United States
OnsiteFull Time
SLB
SLBNYSE: SLB: Global provider of technology and services for energy industry
MS/PhD in geophysics, applied math, physics, or CS (or equivalent); deep expertise in full waveform inversion, seismic wave propagation, and inverse problems; production-grade scientific software experience in HPC/cloud; strong Python and PyTorch/JAX skills.
Python, PyTorch, JAX, HPC, GPU
2mo
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Sr. Data Scientist Enterprise Data Intelligence
Houston, Texas, United States
OnsiteFull Time, Contract
Houston Independent School District
Houston Independent School District: Largest public school system in Texas providing K-12 education.
6+ YOE6+ years in data science or applied analytics; expert proficiency in Python, R, SQL, and Power BI; experience with Microsoft Fabric, SIS, or ERP; strong statistical and ML skills; data storytelling and leadership experience.
Python, R, SQL, Power BI, Microsoft Fabric, SIS, ERP
2mo
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Principal Data Scientist / AI Engineer
Houston, Texas, United States
$155k-$213k/yr HybridFull Time
Crown Castle
Crown CastleNYSE: CCI: Owns, operates, and leases shared communications infrastructure.
10+ YOE10+ years applying statistics, machine learning, and deployment; strong Python and DevOps; experience with LLMs, RAG, and enterprise environments.
Python, DevOps, Git, Machine Learning Libraries, LLM, RAG, Data Pipelines