Impac Exploration Services
Job Description
Job Description
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
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