Senior Data Science- NLP

We are looking for motivated, enthusiastic individual Senior Data Scientist to join our data science team. The role is a blend of hands-on data science work, an eye for innovation, and an understanding of the markets in which we work.
The new Sr. NLP Data Scientist will be part of the NLP Data Science Team.
What you will do:
Apply your NLP expertise to propose and develop models and solutions that improve our ML-driven products. Devise models and algorithms and guide engineering to develop scalable solutions that can work real-time with large amounts of data. Help us develop novel solutions, and unlock new directions. You’ll collaborate with product teams, mentor them on best practices for modern NLP, and keep the wider team informed on the state of the art. In addition, you will be in a strategic position to influence future roadmaps for NLP-driven products. You will engage with the research community via publications, workshops, and tutorials.
Who we are:
The data science group With access to countless data sources the group is the ultimate playground for the passionate data scientist. The group is focusing  mainly on text processing tasks such as information extraction, data parsing, text classification, named entity recognition, coreference etc. 
The group is currently under rebuilding and is expecting to grow significantly
Requirements:
Post-graduate or PhD in Computer Science, EE, or Machine Learning related degree with a focus on NLP; or equivalent work experience in the field
3+ years NLP applied research experience, preferably experience applying NLP research to real-world problems in the industry
Experience in building production ML models and understanding of inference challenges at scale
Good theoretical grounding in core machine learning concepts and techniques
Ability to perform comprehensive literature reviews and provide critical feedback on state-of-the-art solutions and how they may fit to different operating constraints
Experience with a number of ML techniques and frameworks, e.g., data discretization, normalization, sampling, linear regression, decision trees, SVMs, deep neural networks, etc.
Familiarity with one or more deep learning software frameworks such as Tensorflow, PyTorch
Strong communication skills, both oral and written.
Excellent analytical, organizational, and time management skills.
Nice to haves:
Experience with large-scale systems and data, e.g. Hadoop, distributed systems
Publications in top conferences/journals such as EMNLP, ACL, COLING, TACL, CoNLL, NeurIPs, ICML, ICASSP, Interspeech