Job Description: As an integral part of our organization, you will contribute to the development and implementation of cutting-edge machine learning and artificial intelligence solutions. You will collaborate with cross-functional teams across our organization to solve complex problems and drive innovation.

Responsibilities:

• Conduct exploratory data analysis to uncover insights and trends
• Develop and implement machine learning models using Python and relevant libraries
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
• Participate in the deployment of models into production environments
• Stay up-to-date with the latest advancements in data science and machine learning
• Properly document code, track and monitor experiments, and build necessary repositories

Qualifications:

• Pursuing a Master's or PhD degree in Computer Science, Statistics, Mathematics, or a related field. In lieu of a degree, a proven track record of innovative projects or research in the field of ML/AI
• Strong foundation in data structures, algorithms, and statistics
• Proficiency in Python programming and data analysis libraries
• Experience with machine learning frameworks and libraries
• Excellent problem-solving and analytical skills
• Strong communication and interpersonal skills

Preferred Qualifications:

• Familiarity with cloud platforms (AWS, GCP, Azure)
• Experience with big data technologies (Hadoop, Spark)
• Knowledge of the geosciences, energy, or oil and gas industries

Benefits:

• Opportunity to work on real-world projects with a significant impact
• Fully remote (with opportunity for on-site visits to our offices, labs and field locations)
• Encouraged to take advantage of opportunities for professional development, networking, authoring abstracts and research papers, and engagement with the broader data science community