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Data Scientist - Intern

πŸ•’ yesterday
SQLData ExtractionData ManipulationData Analysis
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πŸ“œ Description

  • Extract, manipulate, and analyze data from databases using SQL.
  • Work with teammates to understand data needs and write queries.
  • Develop reports that communicate insights to technical and non-technical stakeholders.
  • Identify relevant metrics and create clear, visually appealing reports for decision-making.
  • Maintain and organize large datasets.
  • Collaborate with data scientists, engineers, and product managers on business challenges.

πŸ› οΈ Requirements

  • Apply database management skills to maintain and organize large datasets efficiently.
  • Demonstrate a strong eagerness to learn and adapt to new tools, technologies, and methodologies.
  • Engage in continuous learning to stay abreast of industry trends and best practices in data science.

✨ Benefits

  • Paid internship with an allowance.
Full job description

Position Title: Data Scientist Intern
Duration: 3 months or more with at least 400hrs
Shift: 7 PM (PHT) onward

About the Role:

Are you eager to turn theoretical machine learning concepts into real-world solutions? As a Data Scientist Intern, you won't just be shadow-watching or working on throwaway projects. You will step directly into our data ecosystem, collaborating with senior data scientists, engineers, and product managers to solve actual business challenges. This is a paid internship opportunity where you can gain real-world experience and receive an allowance.

Key Responsibilities:

1. SQL Basics:

  • Utilize foundational SQL skills to extract, manipulate, and analyze data from various databases.
  • Collaborate with team members to understand data requirements and implement SQL queries to meet those needs.

2. Report Generation and Design:

  • Develop and design reports that communicate key insights and findings to both technical and non-technical stakeholders.
  • Work closely with team members to identify relevant metrics and create visually appealing reports for effective decision-making.

3. Database Skills:

  • Apply database management skills to maintain and organize large datasets efficiently.

Qualifications:

  • Must be currently enrolled in an accredited educational institution pursuing a degree or certification in a relevant field of study such as but not limited to: BS Information Technology, BS Computer Science, BS Information Science, BS Data Science and the likes.
  • Demonstrate a strong eagerness to learn and adapt to new tools, technologies, and methodologies.
  • Engage in continuous learning to stay abreast of industry trends and best practices in data science.
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