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Data Scientist

IFab Corporation
Posted 2 months ago, valid for 17 days
Location

Gastonia, NC 28054, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • IFAB Corp is looking for a Data Scientist with a strong analytical background to convert data into actionable insights.
  • The position requires a Bachelor’s degree in a related field, with a Master’s preferred, and proven experience in data analysis or machine learning.
  • Candidates should have strong proficiency in Python, R, or SQL, along with experience in data visualization tools like Tableau or Power BI.
  • The role offers a competitive salary of $100,000 per year and requires at least 3 years of relevant experience.
  • The Data Scientist will collaborate with various business units to enhance data-driven decision-making and optimize processes.

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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