Data Scientist - Image Recognition/Machine Learning

- PhD or MS in Computer Science, Computational Linguistics, Artificial Intelligence with a heavy focus on NLP/Text mining with 5 years of relevant industry experience.

- Creativity, resourcefulness, and a collaborative spirit.

- Knowledge and working experience in one or more of the following areas: Natural Language Processing, Clustering and Classifications of Text, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Knowledge Engineering, Search Rank and Recommendation.

- Deep experience with text-wrangling and pre-processing skills such as document parsing and cleanup, vectorization, tokenization, language modeling, phrase detection, etc.

- Proficient programming skills in a high-level language (e.g. Python, R, Java, Scala)

- Being comfortable with rapid prototyping practices.

- Being comfortable with developing clean, production-ready code.

- Being comfortable with pre-processing unstructured or semi-structured data.

- Experience with statistical data analysis, experimental design, and hypothesis validation.

Project-based experience with some of the following tools:

- Natural Language Processing (e.g. Spacy, NLTK, OpenNLP or similar)

- Applied Machine Learning (e.g. Scikit-learn, SparkML, H2O or similar)

- Information retrieval and search engines (e.g. Elasticsearch/ELK, Solr/Lucene)

- Distributed computing platforms, such as Spark, Hadoop (Hive, Hbase, Pig), GraphLab

- Databases ( traditional and NOSQL)

- Proficiency in traditional Machine Learning models such as LDA/topic modeling, graphical models, etc.

-Familiarity with Deep Learning architectures and frameworks such as Pytorch, Tensorflow, Keras.