Engineer - Data Science Engineer (Sr) from Quadrant Inc
Gaithersburg, MD
About the Job
Job ID: 24-03316
Senior Data Science Engineer
Gaithersburg, MD
MUST:
Experienced Senior Data Science Engineer
10+ years of technical experience doing data science in a Telecommunications company required
5+ years of experience performing data science and programming required
5+ years of experience using AWS Cloud technology required
5+ years of experience programming using C/C++, java, Python, Go and Pandas required
Knowledge of relational databases such as MySQL, snowflake and BigQuery preferred
Must have strong DS design knowledge and has experience in some ML/Ops/DevOps preferred
Knowledge of building machine learning models using Scikit-Learn, TensorFlow, Keras, or other open-source libraries preferred
Knowledge of data visualization tools and libraries in Python/R (Shiny preferably) Or Tableau preferred
Knowledge and experience in leading analysis efforts for large operational networks preferred
Advanced analytical and problem-solving abilities preferred
Ability to break down and understand complex business problems, define a solution and implement it using advanced quantitative methods preferred
Ability to 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 preferred
Familiarity with software version control with git preferred
Bachelor's degree in computer science, Data Science or related technical field required, Master's degree in data science preferred
DUTIES:
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
Quadrant is an affirmative action/equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, status as a protected veteran, or status as an individual with a disability.
Senior Data Science Engineer
Gaithersburg, MD
MUST:
Experienced Senior Data Science Engineer
10+ years of technical experience doing data science in a Telecommunications company required
5+ years of experience performing data science and programming required
5+ years of experience using AWS Cloud technology required
5+ years of experience programming using C/C++, java, Python, Go and Pandas required
Knowledge of relational databases such as MySQL, snowflake and BigQuery preferred
Must have strong DS design knowledge and has experience in some ML/Ops/DevOps preferred
Knowledge of building machine learning models using Scikit-Learn, TensorFlow, Keras, or other open-source libraries preferred
Knowledge of data visualization tools and libraries in Python/R (Shiny preferably) Or Tableau preferred
Knowledge and experience in leading analysis efforts for large operational networks preferred
Advanced analytical and problem-solving abilities preferred
Ability to break down and understand complex business problems, define a solution and implement it using advanced quantitative methods preferred
Ability to 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 preferred
Familiarity with software version control with git preferred
Bachelor's degree in computer science, Data Science or related technical field required, Master's degree in data science preferred
DUTIES:
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
