Data Scientist
Gastonia, NC
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingDevelop and implement machine learning models to solve business problems
Ensure data quality, integrity, and governance standards are maintained
Build dashboards and visualizations to track key performance indicators (KPIs)
From the employer’s posting
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
Automate data processes and improve data pipelines for efficiency Ensure data quality, integrity, and governance standards are maintained Qualifications
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
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or related field
- 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
Preferred experience
- Master’s preferred
- Familiarity with big data tools (e.g., Hadoop, Spark) is a plus
Qualification wording
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
Education & alternatives
Qualifications - 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
Tools in this posting
- Python
- R
- Hadoop
- Spark
- Tableau
- SQL
- Power BI
Source — Tool mentions in context
- 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
- 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
Job 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.
Key Responsibilities
- 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
Qualifications
- 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
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Gastonia, NC
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jun 2, 2026
- Recorded sightings
- 108
- Last seen by us
- Oct 2, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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