Data Scientist

Company: Society of Exploration Geophysicists
Location: Pleasanton
Posted on: May 6, 2025

Job Description:

Job Description:We are looking for a highly skilled Data Scientist to join our innovative team! In this role, you'll work on cutting-edge projects, leveraging advanced machine learning, deep learning, and natural language processing (NLP) techniques. You'll build, deploy, and optimize models, conduct statistical analysis, and help shape data-driven strategies.Key Responsibilities:

• Design and implement machine learning algorithms, including regression, classification, clustering, and ensemble methods.
• Develop deep learning models with frameworks like TensorFlow and PyTorch for tasks like image recognition and NLP.
• Perform extensive exploratory data analysis (EDA) and statistical analysis, including A/B testing, hypothesis testing, and feature scaling.
• Utilize state-of-the-art transformer models and fine-tune them for specific tasks using techniques like LoRA, QLoRA, and PEFT.
• Build and manage MLOps pipelines for continuous integration, deployment, and monitoring.
• Work with large-scale data processing tools like PySpark and distributed systems.
• Leverage cloud platforms (AWS, Azure, GCP) for scalable compute, storage, and model deployment.
• Containerize applications with Docker and orchestrate using Kubernetes.
• Explore and implement Generative AI techniques, including prompt engineering and retrieval-augmented generation (RAG).
• Collaborate with cross-functional teams to translate business needs into technical solutions.Skills & Qualifications:
  • Proficiency in Python, SQL, and libraries like Pandas, NumPy, Scikit-learn, and Hugging Face.
  • Deep knowledge of machine learning and deep learning algorithms.
  • Experience with NLP, transformers, and sequence models.
  • Familiarity with fine-tuning and parameter-efficient techniques (PEFT, LoRA, QLoRA).
  • Hands-on experience with MLOps tools and practices.
  • Strong understanding of statistical methods and experimental design.
  • Experience with cloud services for AI/ML (e.g., AWS SageMaker, Azure ML, GCP Vertex AI).
  • Proficiency in Docker, Kubernetes, and CI/CD tools.Preferred Qualifications:
    • Experience with vector databases and RAG techniques.
    • Familiarity with reinforcement learning and generative adversarial networks (GANs).
    • Exposure to time series analysis and anomaly detection.
    • Knowledge of distributed computing frameworks like Ray or Dask.
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Keywords: Society of Exploration Geophysicists, Santa Cruz , Data Scientist, Other , Pleasanton, California