Phenom is the creator and leader of Talent Experience Management. We’re on a mission to help a billion people find the right job. To do that, we are fundamentally transforming how companies acquire talent. We need the most creative, skilled and #notnormal people to join our mission.
Phenom is hiring a Data Scientist. You will design and implement algorithms for Natural Language Processing . Your models will apply to datasets of job descriptions, resumes, and other natural language corpora. You will work with our Data Science, Engineering and Product teams to drive the development of product features based on NLP technologies, ensuring that these new features address customer needs. You will bring a discipline of rigorous and creative measurement to power feature innovation and evolution.
What You Should Expect
Work in a high energy, fun, and agile team environment. Our work is fast-paced, with new projects popping up quickly and tight deadlines always around the corner. We are proud to offer employees a flexible work structure, but value responsibility and hard work above all else.
Analyze datasets with traditional and modern data science techniques
Design new models and algorithms and develop proof-of-concept implementations
Ensure high levels of quality and performance through rigorous evaluation
Collaborate with Engineering to bring algorithms to production
Collaborate with Product to match product features to algorithms; use your knowledge of NLP and AI to identify business opportunities and inform product development
Support executive leadership in developing NLP strategy
Keep up-to-date on advances in NLP
In-depth knowledge of modern NLP techniques for language modeling, machine translation, named entity recognition, information extraction, summarization, and dialog systems
Experience implementing NLP in production
Ability to effectively communicate quantitative findings and recommendations to broader audiences to drive business results
Practical experience using Spark and Elasticsearch is a plus
MS with 5+ years or PhD with 2+ years of relevant experience
Training in computational linguistics, computer science, physics, applied mathematics or other quantitative field
Ability to adapt to a changing environment and handle multiple priorities
Inter-cultural communication and collaboration skills
A drive to learn and master new technologies
Distributed model training
Model diagnostics and error analysis
Level of experience (years):
Senior (5+ years of experience)