India: Data Scientist

Role Overview

As a P1 hire at H&P, you will rotate across multiple AI projects, contributing hands-on to data pipelines, models, and prototypes while learning the drilling domain from SMEs. You will work at the intersection of AI and heavy industry, spanning real-time systems, classical ML, and frontier LLM applications.

Responsibilities

• Build and maintain data pipelines that transform raw sensor data into analysis-ready datasets.
• Develop, test, and iterate on machine learning models for time-series problems including anomaly detection and failure prediction.
• Support retrieval and LLM-based workflows including embedding pipelines and text-to-SQL.
• Create dashboards, visualizations, and internal tools for field engineers and ROC operators.
• Perform exploratory analysis and write clean, version-controlled code.
• Participate in stakeholder interviews to translate field pain points into technical tasks.

Requirements

• Bachelor's degree in Data Science, Petroleum/Mechanical Engineering, or a related quantitative field.
• Solid Python fundamentals, including pandas and NumPy.
• Working knowledge of SQL and querying large relational datasets.
• Understanding of core ML concepts: supervised learning, cross-validation, and feature engineering.
• Ability to communicate analytical findings clearly to non-technical audiences.

Skills

• Python
• SQL
• scikit-learn
• Langchain
• Pandas

Nice to Have

• Exposure to time-series analysis or sensor/IoT data.
• Experience with cloud data platforms like Azure, Databricks, or Snowflake.
• Familiarity with LLM patterns: RAG, embeddings, and vector databases.
• Dashboarding experience with Power BI or Plotly.
• Git-based collaboration and CI/CD awareness.