Data Scientist

Job Title: Data Scientist

About the Job:
We are seeking a skilled Data Scientist to join our client company, which specializes in developing and commercializing AI products and applications for the oil and gas industry. As a Data Scientist, you will play a pivotal role in developing next-generation AI-enabled software products and solving complex problems in the oil and gas sector. This is an exciting opportunity to contribute to cutting-edge projects and make a significant impact in the industry.

Responsibilities:
- Develop next-generation AI-enabled software products for the oil & gas industry.
- Formalize oil & gas problems into AI problems and translate business objectives into actionable analyses and insights.
- Contribute to solution design in collaboration with other data scientists, engineers, and subject matter experts.
- Extract, clean, audit, and preprocess data for analysis, ensuring data quality and proactively addressing issues.
- Contribute to the creation of large-scale labeled databases leveraging annotation teams.
- Develop data-driven algorithms and prototypes for regression, classification, segmentation, anomaly detection, failure prediction, and optimization.
- Evaluate proposed AI solutions with respect to project objectives and apply state-of-the-art AI techniques to improve existing solutions.
- Deploy and maintain AI models in production, visualize interim and final results of analyses, and communicate ideas, plans, and results effectively via oral presentations and written reports.

Requirements:

Experience:
- At least 4 years of experience demonstrating depth and breadth in signal processing and time-series analysis with state-of-the-art machine-learning, deep-learning, or other AI technologies.
- Demonstrated experience in developing core AI algorithms in industry, industrial AI, or for real-world AI problems.
- Experience in implementing robust and scalable industrial AI solutions.
- Experience in the oil & gas exploration & production company or oil field services company is a plus.

Key Skills:
- Strong background in applied mathematics, algorithms, and coding.
- Proficient in machine learning and/or deep learning.
- Strong background in AI application to signal-processing problems.
- Proficient in Python development language, Pytorch deep-learning framework, and all popular machine-learning libraries (e.g., Scikit-learn).
- Theoretical and practical knowledge of popular machine-learning algorithms (PCA, Support Vector Machines, RandomForest, XGBoost, etc.) or deep-learning networks (RNNs, LSTMs, CNNs, shallow networks, GANs, Transformers, etc.).
- Hands-on experience with useful development tools (PyCharm, Jupyter, Git, Docker, etc).
- Ability to build AI models and find impactful and actionable recommendations based on the model.
- Excellent communication, verbal, and written skills.
- Ability to manage ambiguity, take initiative, and hit the ground running.
- Results-driven and proactive personality.

Educational Requirements:
- Master's degree or Ph.D. in Computer Science, Applied Mathematics, Statistics, or any AI-related field.