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Data Scientist

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: InOrg Global
Full Time position
Listed on 2025-12-01
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Machine Learning/ ML Engineer
Job Description & How to Apply Below

Join to apply for the Data Scientist role at InOrg Global

About The Data Scientist Position

We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You will build data products to extract valuable business insights, analyze trends and help us make better decisions. We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion for machine-learning and research.

Critical thinking and problem-solving skills are also required.

Data Scientist Responsibilities
  • Research and detect valuable data sources and automate collection processes
  • Perform preprocessing of structured and unstructured data
  • Review large amounts of information to discover trends and patterns
  • Create predictive models and machine-learning algorithms
  • Modify and combine different models through ensemble modeling
  • Organize and present information using data visualization techniques
  • Develop and suggest solutions and strategies to business challenges
  • Work together with engineering and product development teams
Data Scientist Qualifications
  • 5+ years  experience working as a Data Scientist or Data Analyst
  • Significant experience in data mining, machine-learning and operations research
  • Good experience using business intelligence tools (such as Tableau) and data frameworks (such as Hadoop)
  • Good knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
  • Strong math and analytical skills, with business acumen
  • Strong communication and presentation skills
  • Good problem-solving abilities
  • Bachelor s in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Engineering and Information Technology
Industries
  • Business Consulting and Services
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