Data Scientist

About Us

We are a global technology firm dedicated to pioneering innovations in energy to support a sustainable planet. Our collaborative and inclusive culture fuels our success, enabling us to work together with colleagues, alumni, and external partners to push boundaries and achieve shared goals. We value individuals committed to innovation and integrity, fostering an environment that supports both personal and professional growth. Globally minded yet locally active, we seek talented and driven professionals passionate about discovering solutions.

Job Summary

The PuTC Data Science team is inviting data scientists to join and engage in exploratory research, addressing complex, open-ended challenges in the oil and gas sector through cutting-edge AI, machine learning, and deep learning methodologies. Candidates will handle large and complex datasets, collaborate across teams, and regularly present findings and prototypes. This role demands the ability to manage multiple concurrent projects.

Key Responsibilities

• Incorporate state-of-the-art technologies to develop data-driven applications within the oil and gas industry.
• Conceive innovative concepts, direct new research areas, and lead research initiatives from inception through execution.
• Utilize engineering principles to design algorithms and create prototypes for tasks such as classification, regression, anomaly detection, failure prediction, and process optimization.
• Work closely with business and engineering departments to deliver scalable and resilient industrial software solutions.
• Provide expertise during technical discussions and peer reviews of various projects.
• Effectively communicate strategies, project updates, and outcomes to stakeholders.
• Engage in professional forums, conferences, and technical gatherings to stay abreast of developments.

Qualifications

• Advanced degree (M.S., MTech, or PhD) in computer science, mathematics, physics, applied sciences, engineering, or related fields, with proven skills in algorithm development employing General AI and Generative AI, accompanied by 3-5 years of relevant experience.
• Comprehensive knowledge of Generative AI and deep learning algorithms, with practical application experience in text analytics, natural language processing (NLP), and computer vision.
• Preferred familiarity with retrieval augmented generation (RAG) techniques and agentic frameworks.
• Strong foundation in linear algebra, statistics, and probability theory.
• Proficiency in Python programming.
• Practical experience developing deep learning models using frameworks such as TensorFlow, Keras, or PyTorch is advantageous.
• Experience contributing to patents or publishing in top-tier, peer-reviewed conferences or journals.

Diversity and Inclusion

We are committed to equal employment opportunities; all qualified candidates will be considered without discrimination based on race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or any other protected characteristics.