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Data Analyst

2 months ago

Beltsville Maryland, United States Library Systems & Services Full time
Job Description

Library Systems & Services is seeking a highly skilled Data Scientist to join our team. As a Data Scientist, you will play a critical role in developing the information architecture and framework for an Open Access data repository containing scientific data from federally funded research.

Key Responsibilities:
  • Data Management: Collaborate with data managers to ensure the proper organization, documentation, and storage of scientific datasets.
  • Data Quality Control: Implement data quality control measures to maintain the accuracy, consistency, and completeness of repository contents.
  • Data Pipelines: Develop and maintain data pipelines for the efficient extraction, transformation, and loading (ETL) of data from diverse sources.
Data Analysis:
  • Statistical Analysis: Utilize statistical techniques to analyze scientific data and extract meaningful insights.
  • Machine Learning: Conduct exploratory data analysis (EDA) to identify patterns, trends, and anomalies within large datasets.
  • Predictive Modeling: Develop predictive models to support forecasting, risk assessment, and decision-making processes.
Data Visualization:
  • Visualization Design: Create clear and compelling visualizations to communicate findings and insights to stakeholders.
  • Dashboard Development: Design interactive dashboards and reports to facilitate data exploration and interpretation.
Research Support:
  • Research Collaboration: Collaborate with scientists and researchers to understand their data needs and provide analytical support for research projects.
  • Experiment Design: Assist in the design and execution of experiments and studies, including data collection and analysis.
Technical Support:
  • Technical Assistance: Provide technical assistance and training to users of scientific data repositories.
  • Troubleshooting: Troubleshoot issues related to data access, analysis, and interpretation.
Requirements:
  • Education: Bachelor's degree in data science, computer science, statistics, mathematics, or a related field.
  • Skills: 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.