Internship, Data Scientist

bei Everstream Analytics

Remote
Information Technology
Information Technology & Services
Data Science & Analyse
Logistics

Beschäftigungsart:

Schichtarbeit

Fähigkeiten:

HTML5
JavaScript
Html
Python
Sql
Usability
Git
JSON
Software versioning
Selenium
AsciiDoc
Parse
Veröffentlicht am:
Bewerbungsfrist:

Internship: Data Scientist

We keep the world moving by keeping risk out of the way.

What Matters Most to Everstreamers

  • Audacity
  • Grit
  • Optimism
  • Virtue
  • Solidarity

Position Overview

Field: Data Science Role: Data Science Intern

What You'll Work On

  • Data Collection: Develop and maintain scripts to automate the collection of publicly available data from online sources, ensuring compliance with each website's terms of service and robots.txt directives.
  • Data Cleaning & Preprocessing: Clean, validate, and organize collected data to ensure accuracy and usability for downstream tasks.
  • Data Storage: Store extracted data in structured formats such as CSV, JSON, or databases, ensuring efficient retrieval and analysis.
  • Collaboration: Work closely with data scientists and analysts to understand data requirements and ensure legal compliance.
  • Documentation: Document data collection processes, data dictionaries, and any challenges encountered to facilitate knowledge sharing and future maintenance.

What You Bring

  • Pursuing a degree in Computer Science, Data Science, Information Technology, or a related field.
  • Familiarity with Python and libraries such as BeautifulSoup, Scrapy, or Selenium for data collection tasks.
  • Understanding of HTML, CSS, and JavaScript to navigate and parse web content effectively.
  • Basic knowledge of data storage formats and databases (e.g., CSV, JSON, SQL).
  • Strong problem-solving skills and attention to detail.
  • Excellent communication skills, both written and verbal.

Bonus Points For

  • Familiarity with AI-powered data collection tools (e.g. Firecrawl).
  • Familiarity with web concepts such as sitemaps, robots.txt, and RSS feeds.
  • Experience with data visualization tools or libraries (e.g., Matplotlib, Seaborn).
  • Familiarity with version control systems like Git.
  • Understanding of ethical considerations and legal guidelines related to data collection.
  • Ability to work independently and manage time effectively in a remote or hybrid work environment.

Why This Internship Rocks

  • Salary Currency: EUR
  • Remote Model: Hybrid