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Open nowPosted 3 days ago

Data Scientist - Intern

talleco6 open roles

Where
Cebu City, Philippines, Remote
Work mode
Remote
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Your applicationOpen nowData Scientist - Interntalleco · Cebu City, Philippines, Remote

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on talleco's own form.

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The clock on this job

Early applications get read.

11.9% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 3 days ago

The posting

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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