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Tech Stack
Tools & technologiesAWSAzureCloudNumpyOraclePandasPython
About the role
Key responsibilities & impact- Use analytical skills and data science knowledge to create real-world impact
- Work closely with clients to understand their questions and needs
- Dig into data-rich environments to find pieces of information puzzles
- Develop algorithms and systems with tools and frameworks to turn disparate data points into objective answers
- Provide a deep understanding of the data and how it can be used
Requirements
What you’ll need- 2+ years of experience with data cleansing, analysis, visualization, API connections, or data mining
- 2+ years of experience analyzing structured and unstructured data
- 2+ years of experience working with Python, including leveraging several different libraries, such as Pandas or Numpy
- Experience developing predictive data models, quantitative analyses, or natural language processing
- Experience using cloud data tools within AWS, Azure, or Oracle
- Experience with visualization packages, including Plotly, Seaborn, or ggplot2
- Secret clearance
- Bachelor’s degree
Benefits
Comp & perks- health, life, disability, financial, and retirement benefits
- paid leave
- professional development
- tuition assistance
- work-life programs
- dependent care
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data cleansingdata analysisdata visualizationAPI connectionsdata miningPythonPandasNumpypredictive data modelsnatural language processing
Soft Skills
analytical skillsclient communicationproblem-solving
Certifications
Secret clearance