Increasing the speed of getting new data sets to data scientists by writing programs to extract data from various internal and external sources.
Increase the lift of predictive models by writing programs that enhance the quality of the data by feature engineering and data imputation engineering.
Enhancing the data scientists' analytical cycle time by profiling and documenting data sources.
Key Responsibilities: Analyze, design and code programs to extract structured data from internal database sources.
Analyze, design and code programs to join and transform data into predictive analytical record structures.
Profile data elements and publish profile results in written documentation.
Coordinate with internal and external data sources owners to establish data access.
Analyze, design and code program logic to add or enhance features to the analytic record set.
Computer Science degree or Computer Science minor involving significant Java exposure.
3 plus years of experience of data extraction from RDBMS and data wrangling using SQL.
Familiarity with using Natural Language Programing (NLP) tools to extract structured data from unstructured text.
Experience in creating visualizations of analytical record set data.
Familiarity of data science predictive modeling.
Familiarity with coding screen scraping logic against external sources.
Experience with Hadoop Big Data extraction.
Experience with extraction of structured data records from Json.