Developer

Overview:
**Responsibilities**:

- Strong problem-solving skills with an emphasis on product development.
- Selecting features, building and optimizing machine learning techniques to improve the

accuracy of new products.
- Analyse data for trends and patterns, understanding insight from data with a unbiassed

mindset.
- Implement different analytical methodologies to help solve various problems related to

the energy industry.
- Close collaboration with software developers and machine learning engineers in the

implementation of analytical models into production or commercialization.
- Develop and utilize algorithms to perform error analysis to improve model uniformity and

accuracy.
- Communicate your findings to both technical and non-technical stakeholders.
- Comfort working in a very dynamic, research-oriented team with several projects under

construction in parallel.

Required Qualifications:

- Advanced degree in a highly quantitative field: Computer Science, Machine Learning,

Geology, Statistics, Mathematics, etc.
- Proficiency with data mining, knowledge of probability theory and advanced statistical

techniques.
- Experience with regression analysis (beyond linear regression), supervised learning,

unsupervised learning or time-series analysis.
- Experience with scientific scripting languages (e.g., Python, R, Matlab)
- Experience accessing and manipulating data in SQL database environments.

effectively communicate with management, reservoir characterization teams,

engineering teams, clients, and other stake holders.

Preferred Qualifications:

- Recent work or internship experience in an advanced data analytics role.
- Experience with object-oriented programming (e.g., C#/C++, Java).
- Knowledge of deep learning and related toolkits: Tensorflow, PyTorch, Keras, etc.
- Knowledge of the energy industry, understanding the different challenges and potential

solutions