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Automotive, Aerospace, Engineering, Software, Consulting

Data Scientist

Gastonia, North Carolina, United StatesOnsiteFull TimePosted 2 months agoVisa sponsorship available

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Role summary

IFAB Corp is seeking a Data Scientist to analyze complex datasets, develop predictive models, and optimize business processes. The role involves transforming data into actionable insights for strategic decision-making. Responsibilities include data collection, cleaning, model development, stakeholder presentations, dashboard creation, A/B testing, and data pipeline automation. The ideal candidate will have a strong background in data analysis, machine learning, and proficiency in Python, R, or SQL, with experience in data visualization tools like Tableau or Power BI.

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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