Designing and developing AI/ML models that significantly accelerate the delivery of business value
Working with business stakeholders to prototype and deliver innovative data science applications
Combining expertise in mathematics, statistics, computer science, and domain knowledge to create AI/ML models
Collaborating closely with the AI Technical Manager and GCC Petro-technical professionals and data engineers to integrate models into the business framework
Identifying and framing opportunities to apply advanced analytics, modeling, and related technologies to data
Understanding and communicating the value of proposed opportunities with team members and stakeholders
Cleaning data and developing and testing models
Establishing the life cycle management process for models
Providing technical mentoring in modeling and analytics technologies
Driving innovation in AI/ML to enhance capabilities in data-driven decision-making
Aligning with team on shared goals and outcomes and recognizing others’ contributions

Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field
Proven experience in Data Science / AI / Machine Learning roles
Strong foundation in mathematics, statistics, and data analysis
Proficiency in programming languages such as Python (preferred) or R
Hands-on experience in building, testing, and deploying AI/ML models
Experience in data cleaning, feature engineering, and model evaluation techniques
Familiarity with machine learning frameworks/libraries (e.g., Scikit-learn, TensorFlow, PyTorch)
Experience working with large and complex datasets
Strong understanding of data modeling, predictive analytics, and statistical techniques
Experience collaborating with cross-functional teams (data engineers, business stakeholders, technical leads)
Ability to translate business problems into data-driven solutions
Strong communication skills with the ability to explain technical concepts to non-technical stakeholders
Experience in end-to-end model lifecycle management (development, deployment, monitoring)
Exposure to cloud platforms (e.g., AWS, Azure, or GCP) is a plus
Experience in mentoring or guiding junior team members is an advantage
Strong problem-solving skills, adaptability, and ability to work in a fast-paced, evolving environment

Data Scientist

Key skills