Vacancy expired!
- Act as the principle AI/ML engineer and data scientist for PBNA to shape business demand, stimulate innovation ideas
- Support proof of concept execution and evaluation, conduct value assessments for new ideas
- Collecting data through means such as analyzing business results or by setting up and managing new studies
- Transferring data into a new format to make it more appropriate for analysis
- Creating new, experimental frameworks to collect data
- Building tools to automate data collection
- Searching through large data sets for usable information
- Creating reports and presentations for business uses
- Correlating similar data to find actionable results
- Bachelors Degree in Applied Mathematics, Economics, Statistics, Engineering, Computer Science or another quantitative field. PhD or MS is a plus.
- 8 years of IT industry experience.
- 3+ years of work experience involving quantitative data analysis to solve problems.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing 'big data' data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- Broad understanding of Business and IT functions in the CPG industry and processes along with strong analytical and troubleshooting skills.
- Highly self-motivated individual, with a track record of driving competing & conflicting priorities.
- Experience in statistical software (R/Stata/SAS/Matlab).
- Experience in Hadoop.
Vacancy expired!