Data Scientist - Intern
Talleco JobTarget Philippines · Location not stated
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Actively hiring
Posted 4 days ago · still listed on the employer's own board · How we score
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- No location stated
In its favour
- Posted 4 days ago
- Still listed on the employer's own board
Data Scientist - Intern at Talleco JobTarget Philippines
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Data Scientist - Intern
- Cebu City, PH - Hybrid (Remote and In Person)
- Temporary
- Data Scientist
- Job Openings
- Data Scientist - Intern
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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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