Position: Data Scientist
Company: DataOx
Category: Data Science
Experience required: 3y
English level: upper
Published: 2021-09-01T00:00:00+03:00

What we offer?
Fully remote position with flexible working hours (40 hours per week)
Small team of professionals (PM, BA, Software Engineer, Product Owner, Data Science Consultant from Germany)
Ability to influence our growing company
The freedom and support in developing your own ideas
Full financial and legal support for private entrepreneurs
Low hierarchy and open communication with founders
Paid vacation, day-offs (20 days)
All Ukrainian public holidays are days off
Compensation for sports activities
Whom are we looking for?
Experienced Python developer with at least 3+ years of Python programming experience
Experience with information extraction tasks using heuristics, pattern rules or NLP methods such as TF-IDF, NER, or similar -> At least 1-2 years of NLP experience
Experience training and deploying NLP models for text classification and feature presentation, preferably with deep neural networks
Experience processing messy text data, especially HTML and fragments in Python
Experience operating ML models for production inference -> Wrapping in APIs, monitoring, scaling, etc. 
Ability to break down large complex problems and resolving ambiguity by asking the right questions to stakeholders

Technologies Checklist
Must-have
Experienced with at least one of Pytorch, Keras, Tensorflow for low-level training/inference of deep neural networks in Python
Experience training and using deep NLP models for text classification and/or named-entity recognition (for example BERT, T5, Universal Sentence Encoder, RoBERTa, XLM, etc. ) with higher-level libraries like Huggingface Transformers, Spacy, or similar
Experience with some NLP libraries for text processing in Python: NLTK, Spacy, Gensim, Textblob, FastText
Generic machine-learning skills for model evaluation etc: Scikit-learn

Good-to-have
BeautifulSoup, Scrapy for scraping and parsing text data
Experience using X-Path, CSS Selectors,  jQuery, or similar for navigating HTML documents
At least one of Flask, Sanic, Falcon, FastAPI for creating web API services in Python
Regexes for rule-based text processing
Experience with Approximate Nearest Neighbour libraries like Annoy, ScaNN, or Faiss for efficient data retrieval

Project description

At the moment we are maintaining the scraping project. It gathers job posts information from approximately 600 websites. For each website, we developed a separate web scraper.

We want to reduce the maintenance time and build a single scraper for all 600 websites applying AI algorithms. So, basically, we want to send an HTML page to an algorithm and receive a JSON with a list of populated fields.