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Junior Data Scientist

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Onsite

Junior Data Scientist

Kavi Software Technologies Philippines Corp.

Junior Data Scientist

Skills

Google Cloud PlatformSQL QueriesDeep LearningPythonData ScienceNumPypandasGitData AnalysisAIAWSNLP / Natural Language ProcessingAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Iloilo City, Iloilo, Philippines

Work mode:

Onsite

Published on:

11 September 2026

What they need


This is 100% onsite job.

Key Responsibilities

  • Clean, transform, and analyze data (structured and unstructured) from diverse sources.
  • Perform exploratory data analysis to identify actionable insights.
  • Support the development and evaluation of traditional and deep learning models.
  • Assist in integrating LLMs into workflows using RAG pipelines.
  • Collaborate with senior team members to build and refine agentic AI systems for task automation.
  • Contribute to the design and testing of knowledge retrieval systems, including vector stores and embedding models.
  • Develop dashboards, visualizations, and documentation to effectively communicate insights and findings.ntent.

Must Have

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or a related discipline.
  • Minimum 1-2 years of relevant experience
  • Hands-on experience writing and optimizing SQL queries
  • Strong programming proficiency in Python, including experience with libraries like pandas, numpy, scikit-learn, and either LangChain or LlamaIndex.
  • Fundamental understanding of Natural Language Processing (NLP) and large language models (LLMs).
  • A strong passion for advancements in Artificial Intelligence and a commitment to ongoing learning.
  • Exposure to Retrieval-Augmented Generation (RAG) architectures, including vector databases like FAISS, Chroma, or Pinecone.
  • Familiarity with LLM frameworks, such as the OpenAI API and Hugging Face Transformers.
  • Knowledge of agentic AI systems, including task planning and autonomous agents

Nice to Have

  • Experience with cloud platforms (AWS, GCP, Azure) and version control systems (Git).

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