Key responsibilities:

• Experience in engaging with both technical and non-technical stakeholders
• Leading teams delivering automated document workflows that meet client needs
• Supporting client sales conversations and proposal preparation
• Machine learning and information retrieval
• Natural language processing and text analytics

Required Expertise:

• Minimum of 5 years experience working on complex AI and Machine Learning projects
• Team lead experience managing Junior and Senior Data Scientists
• Extensive hands on experience in delivering Data Science models
• Extensive experience engaging with stakeholders to understand problem statements and converse with non-technical audiences alike.
• Demonstrated ability to adapt quickly and manage an environment of rapid change and development, and lead others through this process
• Evidence to success in design and build of advanced data analytics solutions
• Exceptional communication skills and stakeholder management experiences
• Sound knowledge of Python and general software development skills (source code management, debugging, testing, deployment, etc.).
• Keen understanding of text pre-processing and normalization techniques, such as tokenization, and POS tagging.
• Ability to design NLP pipelines to meet customer requirements
• Familiarity with different approaches for training entity tagging models (e.g. CRF, RNN, CNN, Transformer).
• Experience with asynchronous programming is a plus.
• Familiarity with deep learning frameworks such as Tensorflow and Pytorch
• Familiarity with computer vision deep learning algorithms a plus (CNN, RCNN)
• BS, MS and or PhD in Computer Science, Physics, Mathematics, etc

Highly Desirable:

• Prior experience consulting in the financial services sector on Data Science projects is a major plus