DISA Technologies, Inc.
DISA Technologies, Inc.
51 – 200 Xodimlar
Apparat ta’minotiB2BFan
DISA Technologies, Inc. konchilik va resurs operatorlari uchun minerallarni qayta ishlash texnologiyasini ishlab chiqadigan ilmiy va apparat texnologiyalari kompaniyasidir. Uning patentlangan DISA Tech™ platformasi yuqori bosimli suspenziya ablyatsiyasidan foydalanib, yuqori tezlikdagi suspenziya to‘qnashuvlari orqali qimmatli minerallarni ajratib chiqaradi. Bu texnologiya energiya sarfini kamaytirish hamda an’anaviy maydalash jarayonida hosil bo‘ladigan mayda zarrachalar va shlamlarni cheklashga qaratilgan. Kompaniyaning modulli tizimlari amaldagi ruda tanalarida, zaxiralarda, chiqindi omborlarida va avvalgi uran obyektlarida joylashtirish uchun mo‘ljallangan. Ular flotatsiya va tanlab eritish kabi jarayonlar orqali keyingi konsentratsiyalashni qo‘llab-quvvatlaydi hamda resurslarni qayta tiklashni obyektning o‘zida rekultivatsiya qilish bilan birlashtiradi.

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.

Tavsif

  • 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.

Talablar

  • 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.

Imtiyozlar

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

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