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# Data Scientist

- **Company:** CFS, Inc.
- **Location:** Orlando, FL, United States
- **Salary:** $70,000.0 - $85,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Business Analytics Applications, Microsoft Azure, Big Data, Cloud Computing, Data Visualization, Data Warehousing, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, NumPy, Power BI, Standard Sql, Systems Integration, Tableau (Software), Unstructured Data, Enterprise Software Applications, Pandas, Matplotlib, Scikit Learn
- **Published:** June 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d8a8a437f708d1a6

## About the Role

Do you have experience in Systems integration?, * 1+ years of experience in data science, machine learning, or advanced analytics roles

 * Proficiency in Python (e.g., pandas, scikit-learn, NumPy) and SQL
 * Experience building, validating, and deploying machine learning models
 * Understanding of statistical modeling, experimental design, and hypothesis testing
 * Experience working with large, complex datasets (structured and unstructured)
*
Strong communication skills with the ability to translate complex concepts into business-friendly insights

 * Collaborative mindset with experience influencing stakeholders across technical and non-technical teams
 * Curiosity, adaptability, and a passion for continuous learning

Bonus Experience of the Data Scientist:

 * Familiarity with cloud platforms (AWS, GCP, or Azure) and modern data stacks

## Description

Seeking a Data Scientist to assist with designing, development, and deployment of advanced analytics and machine learning solutions. This role is ideal for someone who thrives in complex data environments, enjoys solving high-impact business problems, and can translate analytical insights into actionable strategies., * Design, build, validate, and deploy machine learning models and advanced analytics solutions in production environments.

 * Analyze large, complex structured and unstructured datasets to uncover trends, patterns, and opportunities.
 * Apply advanced statistical modeling, hypothesis testing, and experimental design methodologies to answer key business questions.
 * Develop and maintain scalable Python (pandas, NumPy, scikit-learn, etc.) and SQL code to process, analyze, and transform data.
Work closely with engineering and product teams to integrate analytics solutions into enterprise systems.

 * Create clear, compelling data visualizations using tools such as Tableau, Power BI, matplotlib, or seaborn.
 * Leverage cloud platforms (AWS, Azure, or GCP) and modern data stack technologies to improve model performance and data workflows.
 * Communicate insights and recommendations to technical and non-technical stakeholders.


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