Resume Skills and Keywords for NLP Data Scientist

Natural Language Processing Data Scientist transforms natural language data into useful features using NLP techniques to feed classification algorithms. A Natural Language Processing Data Scientist is responsible for designing, developing, and implementing state-of-the-art natural language processing models and algorithms that address a wide range of language processing tasks, such as sentiment analysis, text classification, entity recognition, and machine translation. 

Skills required for a NLP Data Scientist role

  • Natural Language Processing Concepts
  • Machine Learning
  • Python
  • Data Preprocessing
  • Data Analysis
  • Developing Language Models
  • Linguistic Analysis
  • Problem-Solving
  • Communication Skills

What recruiters look for in a NLP Data Scientist resume: 

  • Deep understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis etc), statistics and classification algorithms.
  • Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modelling.
  • Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).

What can make your NLP Data Scientist resume stand out:

A strong summary that demonstrates your skills, experience and background in data science

  • A meticulous Natural Language Processing Data Scientist responsible for designing, developing, and implementing NLP models and algorithms that power state-of-the-art AI applications. Well-versed communicator with a strong ability to work proficiently with cross-functional teams and drive the desired results for the organisation.

Targeted job description 

  • Train the developed model and run evaluation experiments
  • Perform statistical analysis of results and refine models
  • Extend ML libraries and frameworks to apply in NLP tasks
  • Find and implement the right algorithms and tools for NLP tasks

Related academic background 

  • M.Tech in Data Science, Birla Institute of Science and Technology, Pilani 2015
  • B.Tech in Computer Science, Indian Institute of Technology Madras, 2013

Sample Resume of NLP Data Scientist in Text Format

AKASH BISHNOI

NLP Data Scientist 

+91-9876543210 | dhruv@gmail.com |Bangalore, India

SUMMARY 

A meticulous Natural Language Processing Data Scientist responsible for designing, developing, and implementing NLP models and algorithms that power state-of-the-art AI applications. Well-versed communicator with a strong ability to work proficiently with cross-functional teams and drive the desired results for the organisation.

EMPLOYMENT HISTORY

NLP Data Scientist at The Data Buddy’s | Jul 2021 - Present, Bangalore

  • Designing and building advanced NLP models, algorithms, and systems that can process, understand, and generate human language with high accuracy and efficiency.
  • Cleaning, preprocessing, and annotating large-scale text data to ensure the quality and suitability for training NLP models.
  • Implementing rigorous testing and validation procedures to ensure model effectiveness and generalisation.
  • Documenting all phases of the NLP development process, including design decisions, methodologies, and results, to ensure knowledge sharing and maintain high-quality standards.

NLP Data Analyst at High-Tech Systems | Jul 2017 - Jun 2021, Bangalore

  • Applied NLP techniques and analysed text data, including sentiment analysis, named entity recognition, topic modelling, and text categorization.
  • Extracted meaningful insights and trends from text data, using data analysis techniques and statistical methods.
  • Collaborated with NLP Data Scientists to evaluate the performance of NLP models, provide feedback on model behaviour, and assisted in refining model training and optimization.

NLP Linguistic at Sky Systems | Apr 2015 - Jun 2017, Bangalore

  • Developed linguistic rules and guidelines that enhanced the accuracy and contextual understanding of NLP models, and ensured they align with linguistic principles.
  • Created and maintained named entity recognition (NER) lists and rules to accurately identify and classify entities such as names, locations, and other specific terms in text data.
  • Implemented and refined part-of-speech tagging rules as well as identified grammatical categories of words (e.g., nouns, verbs, adjectives) in the text.

EDUCATION

M.Tech in Data Science, Birla Institute of Science and Technology, Pilani, 2015

B.Tech in Computer Science, Indian Institute of Technology Madras, 2013

SKILLS

Natural Language Processing Concepts | Machine Learning | Python | Data Preprocessing | Data Analysis | Developing Language Models | Linguistic Analysis | Problem-Solving | Communication Skills

LANGUAGES

English 

Hindi