About our company
About our company
Senior Data Scientist

Company Background

AutoEntry is an exciting, but more importantly, loved solution for data entry. It's market-leading, AI-driven, disruptive solution for the automation of accounting data entry. In just over three and a half years since its release, AutoEntry has seen exceptional growth and is now being used by over 3,000 accountancy practices with over 150,000 SME companies set up on our platform. We have offices in Ireland (our HQ), the UK, US and Australia and having recently been acquired by Sage, a global leader in software accounts packages, we are now part of an international company that can offer fantastic career opportunities and a comprehensive range of benefits.

Careers at AutoEntry

At AutoEntry we build innovative cloud products and services and deal with lots of data. This gives you the opportunity to work on award winning software that will be shipped regularly, is used by a large number of people, requires an implementation that scales, requires best practice security measures and must be reliable. Requires interaction with BA’s, QA’s, UX, architects, executive team, requires knowledge of front end, back end or the full stack and generally presents a diverse set of problems and ways to solve those problems.

We have a modern tech stack and use modern practices: CI/CD, automated tests, internal package management, push button deployments to all environments, separate staging environments per branch automatically provisioned, PR & code review for all changes.

We build on top of AWS which gives us the ability to iterate fast by taking advantage of cloud services, on-demand infrastructure and the API’s to automate everything.


Data Scientist

AutoEntry receives over a million invoices and receipts each month, with a volume that is rapidly growing. Our in-house developed ML platform, codenamed Pipeline, combines high volumes of data with human annotation, which allows us to quickly develop and evaluate a variety of ML models.

We are expecting a fast-paced adoption of new ML approaches in the near future, improving accuracy and embracing new challenges in other related problem domains. Our cloud-based architecture employs microservices to give modularity, which allows us to quickly transfer new predictive models to production in short R&D cycles.

Key Responsibilities

  • Be an active voice on the team providing ideas for feature and architecture development.
  • Investigate and estimate tasks.
  • Write testable code that will be continuously integrated and deployed.
  • Improve how we do things as a team.

Requirements

  • Strong background in Data Science and Machine Learning (3+ years)
  • A degree in Math, Statistics, Engineering, Computer Science or related field is expected; advanced degrees are preferred.
  • A strong understanding of machine learning theory; experience in various aspects of ML such as classification, feature engineering, clustering, supervised learning, model selection.
  • Problem solving and analytical skills.
  • Hands-on experience applying ML techniques to solve real-word problems.
  • Ability to analyze and manipulate complex, high-volume, high-dimensional data from different sources.
  • Experience with common data science toolkits, such as R, Weka, scikit-learn, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable.
  • Previous experience in research projects and publication of scientific papers is a plus.
  • Experience in Python, scikit-learn, pandas-ml is highly desirable.

Please send your cv to info@autoentry.com with the job title in the subject line.