Data Scientist - Natural Language Processing Offline

About the Role:

- The team is building a next gen text analytics product, in the realm of augmented intelligence, combining ML/NLP and crowd sourcing insights.

- Natural Language Processing

- Embedding Methods

- Topic Modeling

- Multilabel Classification

- Text Mining

- Deep Learning

Required skills

-Strong analytical and quantitative skills. You are familiar with techniques in

Natural Language Processing, Embedding Methods, Topic Modeling,

Multilabel Classification, Text Mining, and Deep Learning.

- Strong technical and programming skills. You are familiar with relevant

technologies and languages (e.g. Python, Java, Scala, C++ and etc. -

we are NOT interested in R).

- Strong knowledge of NumPy, SciPy, Pandas, Scikit-Learn, TensorFlow,

and Keras. PyTorch is also acceptable.

- Experience with building distributed machine learning systems using

Apache Spark and a working knowledge of MLlib.

- Experience with several of the following libraries and models: CoreNLP,

NLTK, Gensim, SpaCy, TextBlob and Word2vec.

- You have experience in Tensorflow, Keras or Pytorch, also Hadoop/Spark

related Big Data technologies.

- You have the ability to quickly prototype ideas and solve complex

problems by adapting creative/agile approaches.

- You are a strong collaborator and communicator, fostering an environment

of growth and learning for your fellow engineers.

As a plus:

Experience of working in the similar projects would be a plus.

We offer:

- Competitive compensation (EUR or USD) and benefits, at market rate or

better.

- Paid vacation with flexible schedule and sick leave.

- Professional, caring and high energy environment.

- Daily and direct access to founders who have both US and European

experience, at the corporate and startup level. One of the co-founders will

be on site with the development team.