Data Scientist (AI Focus)

Kxorin Technology DRT Part Time Flexible 💼 $40–$60 per hour Closed
Posted: Dec 18, 2025 Apply before: Feb 25, 2026
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Basic Job Information

Job Position: Data Scientist (AI Focus)

Published on: Dec 18, 2025

Vacancy: 2

Employment Type: Part Time

Experience: No experience needed

Work Arrangement: Flexible

Salary: $40–$60 per hour

Notes: This posting is for testing and educational purposes only. Not a real job.

Application Deadline: Feb 25, 2026

Job Category: Computing and ICT

Job Description

Kxorin Technology is looking for entry-level Data Scientists to join our AI analytics team. This is an excellent opportunity for students or recent graduates to gain hands-on experience with real-world AI projects in a flexible, part-time role. You will analyze datasets, build basic AI models, and assist senior data scientists in producing actionable insights for internal projects.

Key Responsibilities

  • Collect, clean, and preprocess structured and unstructured datasets.

  • Perform exploratory data analysis to identify trends and patterns.

  • Build and evaluate basic machine learning models under supervision.

  • Generate reports and visualizations to communicate findings to the team.

  • Assist in documentation of data pipelines and processes.

  • Collaborate with senior data scientists and engineers on AI experiments.

  • Stay updated on AI/ML best practices and emerging tools.

Requirements & Skills

  • Bachelor’s degree or ongoing studies in Statistics, Data Science, Computer Science, or related field.

  • No prior professional experience required; willingness to learn is essential.

  • Basic programming knowledge (Python, R, or SQL) is preferred.

Benefits

  • Flexible working hours suitable for students or part-time professionals.

  • Hands-on exposure to AI and machine learning projects.

  • Mentorship from experienced AI and data science professionals.

  • Opportunity to participate in internal AI workshops and learning sessions.

  • Collaborative and inclusive team environment.

  • Experience for building a professional portfolio for future AI/data roles.

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