Middle Data Scientist (NLP) Offline

You will get

- Dynamic and interesting long-term projects

- Interesting, challenging and non-trivial tasks

- Participation in R&D, pilot projects and PoC in wide range of business domains

- Professional and career development

- Friendly and self-motivated team

Areas of Responsibility

- Act well with minor supervision, readiness to take responsibility

- Develop efficient code that can drive innovative analyses of large datasets

- Perform exploratory analysis of datasets and communicate the results

- Answer questions by using appropriate techniques and methods from the available data sources

- Quickly adapt and learn new technologies to solve business issues

Qualifications

- 1,5 + years of experience in NLP

- Good practical and theoretical knowledge of Machine Learning and Deep Learning

- Experience with Python3, tensorflow/pytorch, gensim, spaCy, nltk

- Knowledge of advanced algorithms and approaches to solving NLP problems

- Solid math skills (Probability Theory, Mathematical Statistics, Linear Algebra)

- Good communication skills

- Intermediate+ level of English

- Proficient experience in Python

Will be an advantage

- Participation in Kaggle competitions

- Experience with Big Data tech stack (HDFS, Hive, Spark, Storm)

- Familiarity with NoSQL datastores (HBASE, Elasticserach, Cassandra, etc.)

- Able to build meaningful visualizations of results

- Experience with data-mining methods and technologies