Data Science Engineer - Contract - Onsite - Gaithersburg, MD
Position: Data Science Engineer
Location: On Site 5x week at Gaithersburg, MD
Skills:
solid (Telecom/Data Engineer experience)
Data Science/Data Engineer experience ideally with someone that has worked with networks/ also has network engineering background.
5+ years of experience programming using C/C++, java, Python, Go and Pandas.
AWS Cloud
Job Description:
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 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.
Basic Requirements:
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.
Preferred Qualifications:
Master's degree in data science
Knowledge of relational databases such as MySQL , snowflake and BigQuery.
Must have strong DS design knowledge and has experience in some ML/Ops/DevOps
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.
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.
Familiarity with software version control with git.
Strong work ethic and intellectual curiosity.
Team player with excellent communication and problem-solving skills.