Senior Data Scientist

Apply via LinkedIn OR send your resume to

Tytan Technology is hiring a
Senior Data Scientist
with deep
Oil & Gas domain expertise
and strong capabilities in
AI/ML, LLMs, and Generative AI
. This role supports advanced analytics, modeling, and intelligent decision-making across upstream and midstream operations.

The ideal candidate blends
functional knowledge of drilling, production, reservoir, and field operations
with
modern data science, machine learning, and GenAI-driven techniques
.

Responsibilities

• Analyze production, drilling, reservoir, maintenance, and real-time SCADA/PI sensor data
• Build
  predictive, prescriptive, and GenAI-augmented models
  for production forecasting, asset performance, anomaly detection, and failure prediction
• Apply advanced ML methods, time-series modeling, feature engineering, and statistical techniques on complex O&G datasets
• Develop
  LLM-based assistants
  , agentic workflows, or retrieval-augmented systems to improve engineering decision support
• Conduct EDA, generate insights, and communicate findings to engineering, reliability, and operations teams
• Partner with data engineering teams to design scalable pipelines and improve data quality
• Deploy models into production, develop monitoring frameworks, and support continuous optimization
• Create compelling dashboards, visualizations, and technical reports
• Engage directly with clients to support scoping, PoCs, workshops, and solution delivery
• Mentor junior data scientists and support best practices in modeling, experimentation, and MLOps

Requirements

• 6–12+ years
  of hands-on experience in Data Science, ML, or Advanced Analytics
• 4+ years
  experience in Oil & Gas (upstream, midstream, drilling, reservoir, production, or operations)
• Strong proficiency in
  Python (Pandas, NumPy, SciKit-Learn)
  and applied machine learning
• Experience with
  LLMs, GenAI solutions, embeddings, vector databases, RAG
  , or AI agents (preferred but not mandatory if they can ramp fast)
• Strong background in
  statistics, predictive modeling, time-series analysis
• Experience working with well logs, drilling data, SCADA/PI data, reservoir datasets, or production systems
• Solid understanding of oilfield KPIs, workflows, equipment behavior, and operational challenges
• SQL experience and hands-on work with cloud platforms (
  Azure or AWS
  )
• Experience with
  Power BI, Spotfire
  , or similar BI tools
• Bachelor's or Master's degree in
  Data Science, Engineering, Geoscience, or a related field

Nice to Have (Bonus)

• Experience with
  agentic AI systems
  , autonomous workflows, or domain copilots
• Exposure to
  MLOps frameworks
  (MLflow, SageMaker, Azure ML, Kubeflow)
• Experience integrating
  LLMs with structured O&G data
  for decision intelligence