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
At this time we are not sponsoring visas or participating in CPT programs
Preferred Qualifications:
•Familiarity with cloud platforms (AWS, GCP, Azure)
•Experience with big data technologies (Hadoop, Spark)
•Understanding of good CI/CD workflows and processes
•Knowledge of the geosciences, energy, or oil and gas industries
Benefits:
•Opportunity to work on real-world projects with a significant impact
•Encouraged to take advantage of opportunities for professional development, networking, authoring abstracts and research papers, and engagement with the broader data science community