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.
- 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.
About ECHOES
Echoes is a fast-growing NYC SaaS platform company in the Customer Experience and Machine Learning space. Our customers are mostly enterprise organizations across the US and Europe. Companies such as Smartsheet and Deltek use the Echoes platform to better understand their customers and users.We believe in operating as a coherent team and are looking for colleagues who are dedicated, self-motivated and will grow this company with us.
Company website:
https://www.echoes.io
DOU company page:
https://jobs.dou.ua/companies/echoes-ai/
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