Data Scientist Intermidiate About the Role
As a Senior Data Scientist, you will define project scopes. You will support the development and training of junior staff. You will develop best practices as a project leader. You will work within your team to execute increasingly sophisticated approaches to deliver outcomes in a timely manner. Responsibilities
Executing team's Data Science best practices
Offering mentor support to more junior Data Scientists
Taking a lead in developing of models and analytics
Building models, performing analytics and creating AI features
Presenting results to internal stakeholders
Interacting with customers and clients where required
Have experience using NLP tools and methods such as OpenNLP, Stanford NLP, LDA, Gensim, spaCy
Have substantial textual analytics experience, specifically unstructured data
Have proficiency training large scale models in at least one modern deep learning engine such as Tensorflow, Keras, PyTorch/Torch, MXNet, Caffe/Caffe2
Have experience using Machine Learning and associated packages like scikit-learn, pandas, Numpy and an in-depth understanding of machine learning techniques such as classification, clustering, recommendation systems, and statistical models.
Have substantial years of recent coding experience using Python AND/OR (Java OR Scala)
Maintain current knowledge base of state-of-the-art ML algorithms (BERT, ELMo, GPT, etc.), API's, and open-source methods, able to quickly evaluate alternatives
Have experience with Visualization/Dashboarding, ElasticSearch, Solr, Graph DBs (i.e., JanusGraph, Neptune, etc.)
Have experience with Cloud computing/DevOps and familiarity with Cloud-based Machine Learning environments.
Have a willingness to be hands on with whatever tasks the team needs to advance its projects.
Have the capability to unblock team members by helping solve their most difficult problems.