LAC Federal is seeking an Entry-Level Data Scientist to work at a major federal library in the Washington, DC area. The Data Scientist will work with a larger team to develop the information architecture and framework for an Open Access data repository containing scientific data from federally funded research. Under the direct of senior staff, the Data Scientist will be responsible for supporting the management, analysis, and utilization of scientific data within federal agency repositories. This role involves working closely with a team of librarians, information specialists, senior data scientists, data managers, and IT professionals to ensure the effective organization, accessibility, and integrity of scientific datasets. The incumbent will employ various data science techniques and tools to extract insights, support research initiatives, and enhance decision-making processes. This is a hybrid position with remote and onsite required.
RESPONSIBILITIES:
Data Management:
Data Analysis:
Data Visualization:
Research Support:
Technical Support:
Bachelor’s degree in data science, computer science, statistics, mathematics, or a related field.
Strong analytical and problem-solving skills, with a keen attention to detail.
Proficiency in programming languages commonly used in data science (e.g., Python, R, SQL).
Familiarity with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn).
Experience with data visualization tools and techniques (e.g., Matplotlib, Tableau).
Knowledge of database systems and query languages (e.g., SQL, NoSQL).
Excellent communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.
Knowledge of scientific domains relevant to the federal agency’s mission (e.g., environmental science, biology, geology) is a plus.
Experience with cloud computing platforms and services (e.g., AWS, Azure, Google Cloud Platform) is desirable.
Familiarity with data governance and compliance standards (e.g., FAIR principles, HIPAA, GDPR) is a plus.
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