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# Data Scientist

- **Company:** After School Matters, Inc.
- **Location:** Gastonia, NC, United States
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Data Analysis, Big Data, Data Mining, Data Visualization, Apache Hadoop, Python (Programming Language), Machine Learning, Power BI, Standard Sql, Tableau (Software), Unstructured Data, Apache Spark, Information Technology, Data Management, Data Pipelines
- **Published:** August 20, 2026
- **Apply:** https://industrialfabricators.applytojob.com/apply/x4I26cVA7g/Data-Scientist?source=GS

## About the Role

* Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field (Master's preferred)
 * Proven experience in data analysis, machine learning, or predictive modeling
 * Strong proficiency in Python, R, or SQL
 * Experience with data visualization tools (e.g., Tableau, Power BI)
 * Knowledge of statistical methods and data mining techniques
 * Familiarity with big data tools (e.g., Hadoop, Spark) is a plus
 * Strong problem-solving and critical thinking skills, How many years of work experience do you have with Data Science?*
How many years of work experience do you have with Python (Programming Language)?*
How many years of work experience do you have with Big Data Analytics?*
Are you comfortable working in an onsite setting at Gastonia, North Carolina?*

## Description

IFAB Corp is seeking a highly analytical and results-driven Data Scientist to transform data into actionable insights that support strategic decision-making. The role involves working closely with cross-functional teams to analyze complex datasets, develop predictive models, and optimize business processes., * Collect, clean, and analyze structured and unstructured data from multiple sources

 * Develop and implement machine learning models to solve business problems
 * Generate insights and present findings to stakeholders in a clear and actionable manner
 * Build dashboards and visualizations to track key performance indicators (KPIs)
 * Collaborate with business units (e.g., operations, marketing, finance) to identify opportunities for data-driven improvements
 * Conduct A/B testing and statistical analysis to evaluate business initiatives
 * Automate data processes and improve data pipelines for efficiency
 * Ensure data quality, integrity, and governance standards are maintained


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