What are the responsibilities and job description for the Data Science Engineer position at KNS IT GROUP?
Top 3 Skills
- 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
- 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.
- 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.
- 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.
