This role is responsible for data collection procedures, including accurate and relevant data for machine learning models, extracting and analyzing data from the primary and secondary database
Job Summary
This role is responsible for data collection procedures, including accurate and relevant data for machine learning models, extracting and analyzing data from the primary and secondary database.
Designs and establishes secure and performant data architectures, enhancements, updates, and programming changes for portions and subsystems of data pipelines, repositories or models for structured/unstructured data.
Provides guidance and mentoring to less experienced staff members.
Matching Summary
This role is responsible for data collection procedures, including accurate and relevant data for machine learning models, extracting and analyzing data from the primary and secondary database.
Skills & Requirements
Must-have
data collection procedures
data integrity and compliance
data cleansing and validation
root-cause analysis
secure and performant data architectures
data pipelines and repositories
structured/unstructured data analysis
Nice-to-have
effective communication
results orientation
learning agility
digital fluency
customer centricity
Key Requirements
4-7 years of work experience
Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, Statistics/ Mathematics, or related discipline or commensurate work experience
Programming Language/s Certification (SQL, Python, or similar)