Statistician, Data Analyst
CLA (CliftonLarsonAllen)
full-time
Posted on:
Location Type: Hybrid
Location: Nashville • Tennessee • United States
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Job Level
About the role
- Collect, clean, and analyze data using Python.
- Transform and prepare data for analysis using Python libraries such as pandas and numpy.
- Support model development and testing under the guidance of senior data scientists.
- Develop visualizations using matplotlib, seaborn, or plotly to communicate findings.
- Contribute to AI and machine learning projects through data preparation and validation tasks.
- Work in collaborative environments using Git, Databricks, and other modern data tools.
- Document analytical processes clearly and maintain accurate records of analysis and results.
- Engage in ongoing learning to build deeper expertise in data science tools and methods.
Requirements
- 1 year of experience preferred
- Experience with APIs, web scraping, SQL/no-SQL databases, and cloud-based data solutions preferred.
- Bachelor's degree is required.
- Combination of relevant experience, education, and training may be accepted in lieu of degree.
- Degree in a field of Statistics, Computer Science, Economics, Analytics, or Data Science (e.g., Informatics, Data Science, Health Data Science) preferred.
Benefits
- Flexible PTO (designed to offer flexible time away for you!)
- Up to 12 weeks paid parental leave
- Paid Volunteer Time Off
- Mental health coverage
- Quarterly Wellness stipend
- Fertility benefits
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonpandasnumpymatplotlibseabornplotlyAPIsweb scrapingSQLno-SQL
Soft Skills
collaborationcommunicationdocumentationanalytical thinkingongoing learning