Data Scientist

Full-time - Entry Level

Remote - Beltsville, MD

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About the position

LAC Federal is seeking an Entry-Level Data Scientist to support the development of an Open Access data repository for scientific data from federally funded research. This role involves collaboration with a multidisciplinary team to manage, analyze, and utilize scientific datasets, ensuring their organization, accessibility, and integrity. The Data Scientist will employ various data science techniques to extract insights and support research initiatives, contributing to enhanced decision-making processes. This is a hybrid position requiring both remote and onsite work.

Responsibilities

• Collaborate with data managers to ensure the proper organization, documentation, and storage of scientific datasets.
• Implement data quality control measures to maintain the accuracy, consistency, and completeness of repository contents.
• Develop and maintain data pipelines for the efficient extraction, transformation, and loading (ETL) of data from diverse sources.
• Utilize statistical and machine learning techniques to analyze scientific data and extract meaningful insights.
• Conduct exploratory data analysis (EDA) to identify patterns, trends, and anomalies within large datasets.
• Develop predictive models to support forecasting, risk assessment, and decision-making processes.
• Create clear and compelling visualizations to communicate findings and insights to stakeholders.
• Design interactive dashboards and reports to facilitate data exploration and interpretation.
• Collaborate with scientists and researchers to understand their data needs and provide analytical support for research projects.
• Assist in the design and execution of experiments and studies, including data collection and analysis.
• Contribute to the development of data-driven research strategies and methodologies.
• Provide technical assistance and training to users of scientific data repositories.
• Troubleshoot issues related to data access, analysis, and interpretation.
• Stay abreast of emerging technologies and best practices in data science, informatics, and related fields.

Requirements

• 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.

Nice-to-haves

• 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.

Benefits

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k, IRA)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Family Leave (Maternity, Paternity)
• Short Term & Long Term Disability
• Training & Development
• Wellness Resources