Data Scientist
$90,000–$95,000 year
On-site · Bethesda, Maryland, United States
Job Summary
Data Scientist to analyze and solve problems, build data pipelines, develop dashboards, and apply statistical methods. Must use Python and Java/SQL to mine complex datasets from diverse sources; develop data tables and scripts; execute models; create dashboards for clients; collaborate with business analysts to translate requirements into tools, metrics, and visualizations; apply PCA and clustering techniques; utilize NumPy, Pandas, Matplotlib/Seaborn/Plotly/Scikit-Learn for data visualization and modeling; build an interactive dashboard with Streamlit; ensure data quality governance and metadata; work with Azure SQL and other data platforms; draft documentation and support tools for insights and decision-making.
Required Qualifications
- Bachelor’s degree in Data Analytics or related field
- Experience with Python, Java, PostgreSQL
- Experience with data mining and NLP
- Experience building data pipelines and data-driven dashboards
- Proficiency in data visualization tools and libraries (Power BI, Qlik, Plotly, Streamlit)
- Experience with PCA, clustering techniques (K-means, Hierarchical)
- Strong SQL and database skills (Azure SQL preferred)
- Ability to translate business requirements into technical solutions
- Experience collaborating with business analysts and end users
Desired Qualifications
- Bachelor’s degree in Data Analytics or related field
- Experience with Python, Java, PostgreSQL
- Experience with Power BI and Qlik
- Experience with NLP and Data Analytics/Data Science
- Experience building data pipelines and data architectures
- Experience with data mining, statistics, predictive analysis
- Experience with data visualization (Dashboards)
- Experience with PCA, K-means clustering, Hierarchical clustering
- Proficiency with NumPy, Pandas, Matplotlib, Seaborn, Plotly, Scikit-Learn
- Experience with Streamlit for interactive dashboards
- Experience with Azure SQL or similar cloud databases
- Ability to translate business requirements into technical solutions
- Strong collaboration with business analysts and end users
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