Data Scientist - IT

JD

Demonstrates extensive knowledge and/or a proven record of success in data analytics, including the following areas:

- Ideally 9 to 13 years of relevant experience.

- Performing in development language environments - e.g. Python, Java, Scala, R, SQL, etc. and applying analytical methods to large and complex datasets leveraging one of those languages

- Must have Experience in machine learning, natural language processing, deep learning.

- Understanding of NoSQL (Graph, Document, Columnar) database models, XML, relational and other database models and associated SQL

- Understanding of ETL tools and techniques, such as tools like Talend, Map force, how to map transformation and flow of data from a source to a target system

- Demonstrates extensive abilities and/or a proven record of success in the application of statistical modelling, algorithms, data mining and machine learning algorithms problem solving.

- A track record of delivery within a number of large-scale projects, demonstrating ownership of architecture solutions and managing change.

- Leading, training and working with other data scientists in designing effective analytical approaches taking into consideration performance and scalability to large datasets

- Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.

- Proven ability with NLP and text-based extraction techniques.

- Understanding of not only how to develop data science analytic models but how to operationalize these models so they can run in an automated context

- Understanding of machine learning algorithms, such as k-NN, GBM, Neural Networks Naive Bayes, SVM, and Decision Forests.