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DISA Technologies, Inc.
DISA Technologies, Inc.
51 – 200 Angajați
B2BHardwareȘtiință
DISA Technologies, Inc. este o companie de știință și hardware care dezvoltă tehnologii de procesare a mineralelor pentru companii miniere și operatori de resurse. Platforma sa brevetată DISA Tech™ utilizează ablația cu suspensie la presiune înaltă pentru eliberarea mineralelor valoroase prin coliziuni ale suspensiei la viteză mare, urmărind reducerea consumului de energie și limitarea particulelor fine și a nămolului asociate măcinării convenționale. Sistemele modulare ale companiei sunt concepute pentru implementare în zăcăminte active, stocuri de minereu, iazuri de decantare și situri istorice de uraniu, sprijinind îmbunătățirea concentrării în etapele ulterioare prin procese precum flotația și levigarea, combinând recuperarea resurselor cu remedierea la fața locului.
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Locurile de muncă ale companiei

Data Engineering and Machine Learning Intern – Hybrid

Organize and standardize DISA Technologies’ mineral-processing test data for cloud analytics. Analyze historical records to assess data quality and identify machine-learning-ready relationships.

USStatele Unite ale AmericiiWYWyoming
20 $ / an
HibridContractNivel începătorNu este necesară o diplomăLimbă Obligatorie: englezăInginer de date
PandasPythonSQL

Descriere

  • Catalog historical data sources with details such as location, client, project, site or program, equipment unit, date range, format, and completeness.
  • Document specifications for recurring record formats and include representative files.
  • Convert test files into a standardized tabular template and place them in the assigned staging area.
  • Create data-quality reports that flag missing information, incomplete or questionable analyses, and inconsistencies across files.
  • Explore datasets to uncover potential correlations and relationships.
  • Prepare feasibility memos explaining which questions the historical data can and cannot answer.
  • Standardize file names and tags in legacy folders when needed.
  • Assemble metadata required for migration to a document-management system when needed.
  • Match test records with related measurement datasets when needed.

Cerințe

  • Currently pursuing or recently completing a degree in computer science, data science, statistics, engineering, or a related discipline.
  • Proficiency with Python and pandas, or an equivalent toolset, for reading, cleaning, and reshaping tabular data.
  • Hands-on experience handling untidy real-world files, including Excel workbooks, CSVs, PDFs, and inconsistent naming or structures.
  • Methodical and detail-oriented, with a willingness to record missing information and unresolved inconsistencies.
  • Able to work independently from defined schemas and templates, while seeking clarification when files do not conform.
  • Strong written communication skills.
  • Familiarity with SQL, data catalogs, or data-lake concepts such as bronze, silver, and gold layers.
  • Basic statistics or exploratory data-analysis experience using tools such as matplotlib, seaborn, or Jupyter.
  • Interest in mineral processing, chemistry, or industrial process data; previous domain expertise is not required.
  • Power-user familiarity with SharePoint or OneDrive.

Beneficii

  • A managed laptop or virtual desktop is provided.
  • A confidentiality acknowledgment is required because the role involves confidential client data.

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