You will work with our high-performing team to maintain the digital examination platform that is used by millions of examinees and test candidates every year.
Project: Analytics 2.0 – a new tool for making as much data as possible available to the customer and to enable download and export for further analysis
In our collaboration model, you will work and communicate directly with the development team on the client side.
Responsibilities:
- Work with a world-class team of data scientists and engineers to develop and
apply data pipelines for learning analytics models and tools - Design, implement, and document software and systems to help ensure optimal
application of learning models and analytics with assessment data - Work in collaboration with other teams to solve complex problems related to data
and information availability - Maintain and improve already existing pipelines responsible for data migration and
integration - Design, develop, and implement the architecture and data pipeline for
production-grade machine learning models and services
What we are looking for:
- MSc degree in Computer Science, Mathematics, Physics or a related quantitative
field - 1-5 years of relevant work experience
- Professional experience with developing in Python
- Experience with AWS, in particular S3, SQS, Lambda
- Professional experience with Apache Spark and/or Apache Hive
- Experience with Elasticsearch
- An eye for clean, testable, maintainable, and performant code
Bonus:
- Worked with Terraform or CloudFormation
- Comfortable with mathematics and statistics
- Experience with developing in Java
- Some knowledge in machine learning
- Experienced with SQL and relational databases
- Some experience with Tensorflow or PyTorch
