Data Scientist

AIQ

About The Role

We are seeking an experienced Data Scientist to join our team operating in the Oil and Gas sector, specifically in upstream optimization. As a Data Scientist, you will play a crucial role in extracting insights from complex datasets, developing data-driven algorithms, and implementing AI solutions to optimize oil production operations. Your expertise in machine learning, deep learning, and optimization techniques will be vital in solving industry-specific challenges and driving efficiency gains in oil production processes. You will work closely with cross-functional teams to analyze data, implement, deploy and maintain solution, and deliver actionable recommendations to improve production management and maximize operational performance.

Responsibilities

• Prepare, clean, and preprocess data for analysis.
• Analyze data quality and proactively address issues.
• Develop data-driven algorithms for clustering, classification, regression, and optimization.
• Evaluate AI solutions aligned with business objectives.
• Maintain and enhance existing solutions to meet evolving business needs.
• Deploy and manage AI models in production.
• Visualize and communicate analysis results effectively.
• Present ideas, plans, and findings orally and in written reports.
  
  

Qualifications

Educational Requirements

• Bachelors degree in a relevant field (e.g., Computer Science, Statistics, Mathematics, Petroleum Engineering, or related disciplines). Advanced degrees are a plus.
  
  

Experience

• 3+ years of experience demonstrating depth and breadth in state-of-the-art machine learning, deep learning, optimization.
• Demonstrated experience in developing core AI algorithms in industry or for real-world problems.
• Proven track record of implementing robust and scalable industrial AI solutions.
• Experience with hybrid physics based and data driven modeling.
• Experience in the Oil & Gas industry, specifically in oil and gas exploration & production companies or oil field services companies, is a plus.Strong understanding of the unique challenges and complexities involved in Oil & Gas production and optimization.
  
  

Key Skills

• Strong background in applied mathematics, algorithms, and coding.
• Proficiency in statistics, machine learning, and deep learning.
• Proficiency in Python programming and data analysis libraries (e.g., Pandas, NumPy).
• Proficiency in data manipulation, cleaning, preprocessing and feature engineering
• Proficiency in deep learning frameworks (e.g. Keras, PyTorch).
• Theoretical and practical knowledge of popular machine learning algorithms (e.g., PCA, Support Vector Machines, RandomForest, XGBoost, skforecast).
• Theoretical and practical knowledge of popular optimization methodologies (ex. PSO, GA, SGD ).
• Experience with common development tools (e.g., PyCharm, Jupyter, Docker, Git).
• Excellent communication skills, both verbal and written.