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Tech Stack
Tools & technologiesAWSAzureCloudNumpyOraclePandasPython
About the role
Key responsibilities & impact- Help turn complex data sets into useful information to solve global challenges
- Develop algorithms and systems and use the right tools and frameworks to generate objective answers
- Work closely with clients to understand their questions and needs
- Provide deep understanding of data and its implications
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
client communicationproblem-solvinganalytical thinking
Certifications
Secret clearance