Data Science Intern (Fall 2025)

Support studies on miner overclocking and underclocking. Analyze energy utilization and identify optimization opportunities. Rank mining hardware based on performance across various tasks. Collect and clean data from multiple sources. Build and maintain data pipelines for analysis. Perform exploratory data analysis and generate insights. Develop dashboards to visualize key metrics. Assist in building machine learning models and optimizers. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed include being currently enrolled in a relevant degree program (e.g., Computer Science, Data Science, Information Technology), having strong analytical and problem-solving skills, proficiency in Python and SQL, and familiarity with data engineering tools (e.g., Airflow, BigQuery, Redshift, Postgres, Kafka).