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Data Scientist

Santee Cooper
United States, South Carolina, Moncks Corner
Nov 24, 2025


Position Description

  • Supports retail, distribution, transmission, and corporate teams by delivering insights derived from data analysis. This role is responsible for building and maintaining business intelligence and analytics solutions that transform data into actionable knowledge and enable machine learning engineering activities.


  • Essential Tasks:
  • Works with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Analyzes data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Assesses the effectiveness and accuracy of new data sources and data gathering techniques.
  • Recognizes business requirements in the context of BI and create data models to transform raw data into relevant insights.
  • Using Power BI and other related tools to creates dashboards and interactive visual reports.
  • Defines key performance indicators (KPIs) with specific objectives and track them regularly.
  • Analyzes data and display it in reports to aid decision-making.
  • Converts business needs into technical specifications and establish a timetable for job completion.
  • Creates, tests, and deploys Power BI scripts, as well as execute efficient deep analysis.
  • Uses Power BI to run DAX queries and functions.


  • Position Requirements

  • *Will consider Data Scientist I, II or III


  • Data Scientist III
  • Bachelor's Degree in Mathematics, Statistics, Computer Science or related field + 5 years experience.
  • Must have experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
  • Must have experience with object-oriented programming languages (Python, R, Scala) and/or data engineering skills (relational or NoSQL databases (Oracle, SQL Server, MongoDB) and various ETL tools (Hitachi Pentaho).
  • Must have knowledge of BI tools and systems such as Power BI, Tableau, OBIEE and SAP.
  • Must have experience working with and creating data architectures.


  • Compensation Information:
    $102,560 - $128,200 (min. - mid.)

    Data Scientist II
  • Bachelor's Degree in Mathematics, Statistics, Computer Science or related field + 2 years experience, Associate's Degree in related field + 4 years experience or High School Diploma/GED + 6 years experience.
  • Must have experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
  • Must have experience with object-oriented programming languages (Python, R, Scala) and/or data engineering skills (relational or NoSQL databases (Oracle, SQL Server, MongoDB) and various ETL tools (Hitachi Pentaho).
  • Must have knowledge of BI tools and systems such as Power BI, Tableau, OBIEE and SAP.
  • Must have experience working with and creating data architectures.


  • Compensation Information:
    $82,520 - $103,140 (min. - mid.)

    Data Scientist I
  • Bachelor's Degree in Mathematics, Statistics, Computer Science or related field, Associate's Degree in related field + 2 years experience or High School Diploma/GED + 4 years experience.
  • Must have knowledge of cloud-based data management and analytics.
  • Must have experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
  • Must have experience with object-oriented programming languages (Python, R, Scala) and/or data engineering skills (relational or NoSQL databases (Oracle, SQL Server, MongoDB) and various ETL tools (Hitachi Pentaho).
  • Must have knowledge of BI tools and systems such as Power BI, Tableau, OBIEE and SAP.
  • Must have experience working with and creating data architectures.


  • Compensation Information:
    $66,390 - $82,980 (min. - mid.)

    We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.





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