Senior Level Data Scientist, CA, REMOTE, 12+ Months

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 month(s)
No Travel Required

Skills

python
Data Scientist
Machine Learning
PyTorch

Job Details

Senior Level Data Scientist
Los Angeles, CA - REMOTE
12 Months

Ideal candidate will have extensive Machine Learning experience.

Job Summary:

We are seeking a highly skilled Senior Data Scientist (Contractor) to join our team. This role will focus on developing and deploying advanced AI/ML models to drive key business decisions. The ideal candidate will have extensive experience in machine learning, data engineering, and cloud computing, with a proven ability to deliver impactful solutions.

As a contractor, you will work closely with cross-functional teams to design, build, and optimize machine learning models using AWS services, including Sagemaker, Bedrock, LLM, PyTorch, TensorFlow, Deep Learning Containers, Jupyter Notebooks, and Glue. This role offers an exciting opportunity to contribute to cutting-edge AI solutions in a fast-paced environment. You will apply advanced analytics, machine learning, and statistical modeling to optimize gas network operations, enhance safety on assets, and drive data-informed decision-making. You will partner with engineering, operations, safety, and regulatory teams to transform raw data (e.g., SCADA telemetry, meter readings, Inspection data, GIS layers, IoT sensors) into actionable insights that reduce risk, improve reliability, and support regulatory compliance.

Technical Skills

  • Programming Languages: Python, SQL
  • ML Frameworks: Scikit-learn, TensorFlow, PyTorch
  • NLP Tools: spaCy, HuggingFace Transformers, BERT, GPT-based models
  • Data Engineering Tools: AWS Glue, Pandas, Polars
  • Geospatial Tools: GeoPandas, Shapely, PostGIS
  • Visualization: Plotly, Dash, Power BI, or Tableau
  • Version Control: Git, GitHub

Preferred Experience:

  • Prior experience building ML Models in Utility Industry or any other Asset heavy industry, with focus on leak detection, damage prevention, cathodic protection, and regulatory compliance
  • Prior MLOps experience
  • Strong Data Engineering background
  • Knowledge or past experience with employing Gen AI techniques for model development and enhancement.
  • GIS/Geospatial Data: Experience utilizing geospatial data and GIS tools for advanced geospatial modeling and engineering
  • Local to Los Angeles/Southern California
  • Has a Ph.D. in Computer Science, Electrical Engineering, Geospatial Analytics, Environmental or other Engineering Fields
  • Prior Experience in Natural Language Processing (NLP) projects
  • Advanced proficiency in Python programming
  • Utility Industry (gas/electric preferred; familiarity with SAP, GIS is a plus)

Qualifications:

  • Master s or Ph.D. in Computer Science, Statistics, Mathematics, or a related field.
  • 10+ years of experience in data science, predictive modeling, and machine learning.
  • 15+ years overall experience in Data Engineering, Software Engineering and/or Data Science roles
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