Senior Engineer - Data Science with Telecom Background

Job Description Job Description

Sr Engineer - Data Science

Location:

Gaithersburg MD

* On site all 5 days*

Candidate must have the skills in Data Analysis and the ability to convey the analysis of the data in layman’s terms to business executives.

They will need to give presentations with confidence and clarity, using excellent command of the subject and the language.

• Provide technical leadership and identify solutions for complex problem.
• Must be able to understand how to design and build a deployable application that uses any ML 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.

• Bachelor's degree in computer science, Data Science or related technical field
• 10+ years of technical experience doing data science in a Telecommunications company
• 5+ years of experience performing data science and programming
• 5+ years of experience using AWS Cloud technology
• 5+ years of experience programming using C/C++, java, Python, Go and Pandas.
• Strong work ethic and intellectual curiosity.

• Master’s degree in data science
• Knowledge of relational databases such as MySQL, snowflake and Big Query
• Must have strong DS design knowledge and has experience in some ML/Ops/Dev Ops
• Knowledge of building machine learning models using Scikit-Learn, Tensor Flow, Keras, or other open-source libraries.
• Knowledge of data visualization tools and libraries in Python/R (
  Shiny preferably) Or Tableau
  .
• 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/ML technology to the problem so that a development team can then take that and build an application that leverages the DS approaches.

Candidates may send the resumes in WORD Format direct to