Position: Data Scientist - NLP
Company: Galactica Labs
Experience required: 3y
English level: upper

Galactica Labs is a software engineering and product development company building AI and data-driven applications. We are looking for a data scientist with a focus on natural language processing to join our team. This role will be supporting our client in building an innovative enterprise legal technology product with a heavy emphasis on NLP/NLG. Fully remote position with flexible work hours. May be part time or full time.

**Required Experience:**

3+ years professional experience as a data scientist using advanced data analytics techniques. Experience with natural language processing, natural language understanding, machine learning, and algorithm development.
Experience using tools such as Python, and SQL for data analytics with large data sets including structured and unstructured.
Experience with NLP packages such as SpaCy, CoreNLP, OpenNLP, NLTK, scikit-learn
Experience building data pipelines and deploying models into production
Experience processing of large text collections with standard NLP tools for parsing, entity extraction, POS tagging, topic discovery and classification (such as sentiment analysis), and natural language understanding; tuning hyper-parameters of existing NLP models for domain-specific data sets; computational manipulation and analysis of natural language documents using statistical models; experimenting with large corpora for developing and testing advanced NLP algorithms.
Master’s Degree in a quantitative discipline such as Data Science, Computer Science, Engineering, Physics, , Applied Statistics, Mathematics, or equivalent.
Knowledge of Machine learning in theory and in practice. Experience working with machine learning models from development through testing, validation, and production.
Demonstrated ability to work independently, set up experiments and demonstrate progress through principled use of metrics.
Excellent interpersonal and English verbal and written communication skills
Ability to explain the process and analysis results to both technical and non-technical audiences.

**Would be a Plus:**

Experience working with one or more cloud platforms such as AWS, Google Cloud, and Microsoft Azure
Experience in one or more novel language models such as BERT, GPT2, XLNet, RoBERTa, ALBERT
Experience with deep learning for NLP/NLGActive in the data science or technology community (meetups, blogs, competitions, etc.)
Experience working on projects for US or European clients
Familiarity with business use cases of machine learning for building NLP products