Sr Engineer - Data Science

Responsibilities:
Provide technical leadership and identify solution for complex problem.
Must be able to understand how to design and build a deployable application that uses any Client model that they design and recommend
Recommend, track, and report on the business goals and the resulting technical goals, projects, and technical tasks.
Perform proof of concepts, identify initial data wrangling, and then provide guidance for development of the productionized version of the capabilities.
Analyze data and build predictive models based on stakeholder input.

Basic Requirements:
Bachelors degree in Computer Science, Data Science or related technical field (Masters in Data Science preferred)
10+ years of technical experience, preferable in computer networking and communications.
5+ years of experience performing data science

Preferred Qualifications:
Knowledge and experience in leading analysis efforts for large operational networks .
Advanced analytical and problem-solving abilities.
Ability to break down and understand complex business problems, define a solution and implement it using advanced quantitative methods.
Identify innovative solutions that apply data science , AI/Client technology to the problem so that a development team can then take that and build an application that leverages the DS approaches.
Must have strong DS design knowledge and has experience in some Client/Ops/DevOps
Proficiency in programming for data analysis; ideally Python (or R) and SQL. Knowledge of Pandas is essential.
Knowledge of building machine learning models using Scikit-Learn, TensorFlow, Keras, or other open source libraries.
Knowledge of data visualization tools and libraries in Python /R (Shiny preferably) Or Tableau.
Familiarity with software version control with git.
Strong work ethic and intellectual curiosity.
Knowledge of Cloud technologies such as AWS or Google
Knowledge of relational databases such as My SQL and BigQuery .
Team player with excellent communication and problem-solving skills. Solid oral and written communication skills, especially around analytical concepts and methods
Experience working across varying business and technical functional units