Data Scientist - 83434

This is a Contract to Hire and will ultimately require hybrid work out of Raleigh, NC.

Job Responsibilities:
• Working to solve some of the most challenging problems in natural language processing, machine learning, and information retrieval including topical classification, sentiment analysis, and user intent detection.
• Research, build, and deploy models based on both shallow and deep machine learning. Train robust NLP-based models on a very large corpus of news and financial data.
• Apply machine learning techniques for improving search algorithms.
• Drive best practices for NLP/Machine Learning pipelines.
• Maintain current knowledge base of state-of-the-art ML algorithms (BERT, ELMo, GPT, etc.), APIs, and open-source methods, able to quickly evaluate alternatives.
• Translate complex business requirements into actionable stories with reasonable time estimates.
• Work with product leaders to apply data science solutions.

Skills:
• In-depth understanding of machine learning techniques such as classification, clustering, recommendation systems, and statistical models.
• Experience using Machine Learning and associated packages like scikit-learn, pandas, and NumPy.
• Proficiency training large-scale models in at least one modern deep learning engine such as TensorFlow, Keras, PyTorch/Torch, MXNet, Caffe/Caffe2.
• Minimum 5 years of experience using NLP tools and methods such as OpenNLP, Stanford NLP, LDA, Gensim, spaCy.
• Minimum 5 years of recent coding experience using Python AND/OR (Java OR Scala).
• SQL programming experience.
• Experience and ability to design and work within complex data models.
• Strong skills in setting, communicating, implementing, and achieving business objectives and goals.
• Familiarity with Cloud-based Machine Learning environments, Spark, Visualization/Dashboarding, Elasticsearch, Solr, Graph DBs (i.e., Janus Graph, Neptune, etc.).
• Able to work well on a small team and lead other more junior members of the team.

Education/Experience:
• Master of Science degree in computer science or in a relevant field.
• 8-10 years of relevant experience required