Startups · AI

Gen AI Data Scientist

Fractal Technology · 4 Locations · On-site

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About Fractal Technology

재무·주주·거래처·관계망까지. 법인기업 100만 기업을 AI가 한 장으로 정리합니다. Backed by Antler.

About the role

We are seeking an experienced Data Scientist with a focus on Gen AI and a minimum of 5 years of industry experience. The ideal candidate will have a strong background in machine learning, statistical analysis, and data modeling, with a specific emphasis on extracting insights from textual data. This role involves working on complex NLP projects to derive meaningful patterns and knowledge from large datasets.

What they're looking for

  • - Master's in Computer Science, Data Science, Statistics, or a related field
  • - Minimum of 3 years of professional experience in data science, with a focus on GenAi
  • - Strong programming skills in languages such as Python or R
  • - Expertise in using NLP libraries and frameworks such as NLTK, SpaCy, or TensorFlow
  • - Proficiency in machine learning techniques, including supervised and unsupervised learning
  • - Experience with deep learning frameworks like TensorFlow or PyTorch
More about this role

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Job Title: Data Scientist with GenAI Experience

We are seeking an experienced Data Scientist with a focus on Gen AI and a minimum of 5 years of industry experience. The ideal candidate will have a strong background in machine learning, statistical analysis, and data modeling, with a specific emphasis on extracting insights from textual data. This role involves working on complex NLP projects to derive meaningful patterns and knowledge from large datasets.

1. **NLP Model Development:**

  • Develop and implement NLP models for various applications, including text classification, sentiment analysis, entity recognition, and language translation.
  • Utilize machine learning and deep learning techniques to extract valuable information from unstructured text.

2. **Text Preprocessing:**

  • Preprocess and clean large volumes of text data to prepare it for analysis.
  • Implement techniques such as tokenization, stemming, and lemmatization.

3. **Feature Engineering:**

  • Identify and engineer relevant features from text data to improve model...

Read the full posting on Fractal Technology's site ↗

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