Data Scientist

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Job Description

We are looking for a Data Scientist to work on real-world problems in Natural language processing (NLP) and speech/voice. This includes extending and improving on NLP models and methods using pooled language/voice data from SIL and its partners (in 600+ languages). The output of this work will be applied by SIL, other NGOs, and commercial entities in technology/content creation for local language communities.

Participate in research in machine intelligence and machine learning applications

Develop solutions for real world natural language processing problems

Help curate and pre-process pooled data from SIL and its partners such that is can be utilized in NLP/ML/AI research and development

Advise and collaborate with SIL Data Scientist(s)

Knowledge

• Foundational math, especially statistics, calculus, and linear algebra
• "classical" NLP tasks and tools (such as syntactic and semantic parsing, semantic relations extraction, co-reference resolution) and/or "deep-learning style" NLP (such as RNNs, CNNs, attention-based models, and word embeddings)

Skills

• Write code in some language, and the desire to work with Python and ML frameworks: PyTorch or Tensorflow
• Interface with infrastructure (e.g., via the command line, cloud consoles, Bash, REST APIs, etc.)
• Effectively communicate with both technical and non-technical teams

Attitudes

• Committed to upholding professional standards
• Demonstrating the highest level of ethical behavior
• Interacting positively and collaborating as a member or leader of a team, with respect toward various differing perspectives
• Able to work and communicate effectively across cultures
• Doing the right things in the right way for the right reasons
• Consistently ready to learn and grow

EducationUndergraduate degree in a quantitative field (e.g., Computer Science, Engineering, Physics, Statistics) or equivalent experience is preferred

Experience

• Hands on experience implementing or utilizing NLP methods for tasks such as NER, sentiment analysis, machine translation, tokenization, PoS tagging, etc. strongly desired

• Hands on experience with Python and its suite of NLP tools (NLTK, SpaCy, etc.) strongly desired

Data Scientist