Summary
Join WireWheel's team as a Data Engineer to design, construct, and deploy data wrangling, processing, and analysis pipelines using machine learning and data mining techniques. As a leader in worldwide data privacy management software, we help companies comply with CCPA and GDPR requirements.
Requirements
- Bachelor’s in Computer Science, Telecommunications, or Electronics Engineering
- 2 years of experience as a systems engineer, software developer or data scientist
- Master’s in Computer Science, Telecommunications, or Electronics Engineering
- 9 months of experience in at least two of the following: querying databases and using statistical computer languages such as R, Python, or SQL to manipulate data and draw insights from large data sets
- Experience creating data architectures
- Experience in statistical and data mining techniques such as GLM/Regression, Random Forest, Boosting, Trees, text mining, or social network analysis
- Experience analyzing data from third party providers
- Experience with distributed data/computing tools such as Map/Reduce, Hadoop, Hive, Spark, Gurobi, or MySQL
Responsibilities
- Design, construct, and deploy data wrangling, processing, and analysis pipelines to extract operational intelligence from a variety of data sources using machine learning and data mining techniques
- Write software programs and modify those written by others to perform specific data wrangling and transformation tasks
- Analyze client data and design and deploy data analysis pipelines to extract insights, including privacy insights
- Design algorithms to efficiently manage and process large amounts of metadata and data from the data store of clients
