Data Scientist
At a glance
Mid-level Data Science role at IFab Corporation. Gastonia · full-time · no salary stated · we estimate $115,300–$175,500 across the United States.
IFab Corporation has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Gather and prepare structured and unstructured data from different sources, then analyze it for useful patterns
- Create machine learning models that address business problems and improve how processes work
- Turn analysis into clear recommendations for stakeholders, supported by dashboards and KPI visualizations
- Partner with operations, marketing and finance teams to find improvement opportunities and test initiatives statistically
- Automate data workflows while maintaining data quality, integrity and governance
What you bring
- A bachelor’s degree in data science, statistics, computer science, mathematics or a related area
- Demonstrated work in data analysis, machine learning or predictive modeling
- Strong command of Python, R or SQL, along with knowledge of statistics and data mining
Who this fits
This mid-level role suits someone who can combine analytical problem-solving with practical modeling and clear communication. The position is based in Gastonia, United States.
From the employer
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
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