Remote Data Mining And Management Job In Data Science And Analytics

NLP AI Consultant

Find more Data Mining And Management remote jobs posted recently Worldwide

Develop Risk Scores for various factors influencing the Avoidable Days Problem. This role entails development of rapid solutions on various NLP challenges.

Some of the challenges are outlined below:

- Consumption, extraction, manipulation of Structured and Unstructured text.
- SQL
- Medical Domain Understanding.
- Data Analysis, Supervised / Unsupervised Learning
- Feature Engineering
- NLP Pipeline development.
- Extract relationships in data,
- Information extraction, NER,
- Word Sense Disambiguation,
- Text Classification,
- POS tagging, Text Similarity,

Document Understanding: Topic Modelling, Clustering.
Word Embeddings, Language Models, Word2Vec, Elmo, ULMFit, etc.

NLP Libraries:

NLTK, Gensim, Spacy, TextBlob, CoreNLP, TensorFlow, Keras, etc.
About the recuiter
Member since Mar 14, 2020
Rory Millikin
from Kralovehradecky kraj, Czech Republic

Skills & Expertise Required

Data Science & Analytics Data Mining & Management 

Candidate shortlisted and hiredHiring open till - Apr 18, 2024

Work from Anywhere

40 hrs / week

Hourly Type

Remote Job

$34.54

Cost

Looking for help? Checkout our video tutorial
How to search and apply for jobs

How to apply? Do you have more questions about the Job?
See frequently asked questions

Similar Projects

Urgent web scraping

Need a good developer with python and automation skills for web scraping.

Excel Guru

I am looking for someone who can create a price list for me on excel. I have data for various products that are scattered.

The individual should have great microsoft excel skills and should be able to organise all the products to 1 list. read more

Conversion Rate Optimization Expert Required

Looking for someone to optimize conversions and track analytical data. Its an affiliate site so previous experience in this field would be perfect.

Send examples of previous work and % increases that youve achieved.