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Senior Data Scientist - Machine Learning

Contract
AE
19 February 2024
Job Title: Senior Data Scientist – Machine Learning
  • 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
  • business objectives and developing AI solutions that help to achieve them, along with metrics to track their progress.
  • 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.
  • Deploy and manage AI models in production.
  • Identify differences in data distribution that could potentially affect model performance in real-world applications.
  • Analyzing the errors of AI models and designing strategies to overcome them.
  • Maintain and enhance existing solutions to meet evolving business needs.
  • Visualize and communicate results analysis effectively.
  • Present ideas, plans, and findings orally and in written reports.
  • Collaborate with data scientists, data engineers, and software engineers on production applications.

Experience
  1. years of experience demonstrating depth and breadth in state-of-the-art machine-learning, deep-learning and optimization.
  1. experience in developing core AI algorithms in industry or for real-world problems.
  1. track record of implementing robust and scalable industrial AI solutions.
  1. understanding of the unique challenges and complexities involved in optimization.
  1. in implementation of MLOps pipelines is a plus.
  2. in the Oil & Gas industry is a plus.

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.

Educational Requirements
  • BSc or MSc degree in a relevant field (e.g., Computer Science, Statistics). PhD degree is a plus.