Senior Data Scientist (Signal Processing)

Job Title: Data Scientist

Job Description Overview:
AIQ, a joint venture between ADNOC and Group 42, focuses on developing artificial intelligence technologies in the United Arab Emirates, specifically for the oil and gas industry. It aims to provide end-to-end AI solutions that reduce costs and generate revenue for clients. With an innovative spirit, AIQ offers professionals the opportunity to contribute meaningfully to its mission.

About the Role:
As a Data Scientist at AIQ, you'll work with massive datasets and cutting-edge AI infrastructure to develop complete AI solutions for the oil and gas sector. From technical formalization of business needs to deployment in production, this role offers a unique opportunity to make impactful contributions at every stage of AI development.

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 data scientists, engineers, and subject matter experts.
- Extract, clean, audit, and preprocess data for analysis.
- Analyze data quality and proactively develop solutions to data quality issues.
- Contribute to the creation of large-scale labeled databases.
- Develop data-driven algorithms and prototypes for various applications.
- Evaluate proposed AI solutions with respect to project objectives.
- Keep up to date with the latest technology trends and apply state-of-the-art AI techniques to improve existing solutions.
- Deploy and maintain AI models in production.
- Prepare and visualize interim and final results of analyses.
- Communicate ideas, plans, and results effectively via oral presentations and written reports.

Qualifications:

Required Experience:

- Minimum 4 years of experience in signal processing and time-series analysis with machine learning or other AI technologies.
- Demonstrated experience in developing core AI algorithms for real-world problems.
- Experience in implementing robust and scalable industrial AI solutions.
- Experience in the oil & gas exploration & production industry or oil field services is advantageous.

Required Key Skills:

- Strong background in applied mathematics, algorithms, and coding.
- Proficiency in machine learning and/or deep learning.
- Proficient in Python development language, Pytorch deep-learning framework, and popular machine-learning libraries.
- Theoretical and practical knowledge of popular machine-learning algorithms or deep-learning networks.
- Hands-on experience with development tools such as PyCharm, Jupyter, Git, Docker, etc.
- Ability to build AI models and provide actionable recommendations based on the model.
- Excellent communication skills, both verbal and written.
- Ability to manage ambiguity, take initiative, and deliver results proactively.

Educational Requirements:

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