Senior NLP Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

The Social Dynamics team of the AI Research Lab at Nokia Bell Labs has one open position for a Senior NLP Data Scientist to extend state-of-the-art research in Natural Language Processing. Candidates who have the aspiration to work in a highly-dynamic research environment with a focus on delivering into the business are particularly valued.

Nokia and Bell Labs

Nokia is a global leader in the?technologies that connect people and things, and Bell Labs is a worldwide research and development community that focuses its efforts on key technologies. It is internationally renowned as the birthplace of modern information theory, the transistor, the laser and the UNIX operating system.

Bell Labs Cambridge

The Social Dynamics team conducts high-quality research in the fields of Social Computing and Natural Language Processing. It also delivers business value by working closely with Nokia Business Units. Part of the team’s long-term external research can be found under http://social-dynamics.net

Main responsibilities

• Collaborate with our Cambridge Researchers and with worldwide colleagues, initiate novel ideas, and develop them into algorithms and applications.
• Leverage big data to discover patterns and solve strategic business problems using structured and unstructured data sets across multiple environments.
• Push your contribution by: 1) working closely with Nokia’s business units; and 2) publishing at top-tier conferences such as ACL, NeurIPS, CoNLL, EMNLP, NACCL, EACL, ICML, ICWSM, WWW.

Expected qualifications, skills, and experience

• PhD Degree in Computer Science, Machine Learning, Computational Linguistics, Natural Language Processing, Applied Mathematics, or a related field.
• Track record of coming up with new ideas in NLP, as demonstrated by projects or first author publications conferences.
• Software skills spanning from conceptual stage (like Python, R, MATLAB) to deployment stage (feature release, version control).
• Hands-on experience with ML frameworks (like Keras, Tensorflow or PyTorch).
• Experience with NLP libraries (like NLTk, spaCy, openNLP, Stanford-NLP, WordNet).
• Good oral and written communications skills.
• Preferred: Post PhD research or industry experience; Expertise in either: fact extraction, entity linking, question answering, semantic parsing, or natural language generation; Skilled in visualizing/presenting data using BI tools.