Description

2 - 5 years of professional experience as a data scientist executing complex analytical projects

• 2 + years of text analytics experience

• Strong programming experience with Python, Tensorflow, Scikit-learn, CUDA and pandas

• Knowledge of Big Data Architectures and Cloud computing

• Experience with Hadoop/Hive, Neo4J, Apache Spark, Kafka and MongoDB is a plus

• Experience with data visualization tools like Tableau, Kibana, etc.

• Knowledge of machine-learning techniques, classifiers and statistical methods

• Hands-on experience with natural language processing techniques including Sentiment analysis, Word embeddings

• Experience with Speech-to-Text is a plus

• Advanced degree, or equivalent experience, in mathematics, data science or other quantitative discipline

• Demonstrated success in executing high value, enterprise projects with clear articulation of benefits, costs and risk

• Superb communication, coaching and management skills across multiple business stakeholders and IT as well as external partners

  • • Desire to use modern technologies as a disruptive influence within the Finance domain

Education

Any Graduate