Data Science / Data Curation Intern (Summer 2024)
Company Overview: Dedrone is the world’s most trusted smart airspace security company. Hundreds of commercial, government and military customers around the world rely on Dedrone’s comprehensive, command and control (C2) solution to protect against the persistent and escalating threat from drones while enabling “good” drones to fly. By leveraging AI/ML, Dedrone is the only solution that provides continuous, autonomous interrogation and verification of drones that enables both multi-sensor and multi-mitigation options onto a single fused "pane-of-glass". Whether on-premise / air-gapped or in the cloud, Dedrone customers can easily detect, track, identify, analyze, and mitigate drone threats.
We are seeking highly motivated data science interns eager to contribute to groundbreaking projects with real-world implications. Interns at Dedrone are an integral part of our team and are at the forefront of developing and enhancing our technology stack and advancing our mission of enhancing airspace security. You will have the opportunity to work alongside industry experts, gain hands-on experience, and contribute to innovative solutions that shape the future of aviation security.
You will…
- Collaborate with our team of data engineers and data scientists to design, develop, and maintain data pipelines and ETL processes.
- Utilize your expertise in data science techniques to preprocess, clean, and curate datasets for machine learning and deep learning applications.
- Design and implement scalable solutions for data storage, retrieval, and analysis, leveraging technologies such as SQL, NoSQL, and distributed computing frameworks.
- Perform performance evaluation and benchmarking of deep learning models using metrics such as accuracy, precision, recall, and F1 score.
- Explore and implement techniques for optimizing data pipelines and improving the efficiency and reliability of data processing workflows.
- Document methodologies, findings, and outcomes of projects for knowledge sharing and future reference.
You have…
- Pursuing a degree in Computer Science, Data Science, or related field with a focus on data engineering and data science.
- Strong programming skills in languages such as Python, SQL, or Java.
- Solid understanding of data science concepts and techniques, including data preprocessing, feature engineering, and exploratory data analysis.
- Familiarity with database systems and data storage technologies such as SQL databases, NoSQL databases, and distributed storage systems.
- Experience with data processing frameworks and tools such as Apache Spark, Hadoop, or Apache Beam.
- Knowledge of performance evaluation techniques and metrics for machine learning and deep learning models.
At Dedrone, we believe that great ideas come from anywhere. We support a collaborative environment and value open participation from individuals with different ideas, experiences, and perspectives. We believe having a diverse team makes Dedrone a more interesting and innovative place to work, and we strive to make Dedrone a welcoming and inclusive place for all.