Overview

Quest's Software Center for Advanced AI Architecture in Cork, Ireland is seeking experienced data scientists ready to take ownership of impactful projects. As the central hub for AI innovation across Quest's entire SaaS platform ecosystem, it will shape the future of enterprise AI solutions that serve millions of users worldwide.

Ready to drive your own data science initiatives while making a real business impact? As part of our Software Center for Advanced AI Architecture, you'll work independently on complex analytical challenges using cutting-edge machine learning, generative AI, and statistical modeling. You'll have the opportunity to lead experiments from conception to production, influence product strategy through data-driven insights, and mentor junior team members while continuing to grow your own expertise. If you're looking to transition from executing others' ideas to owning the full data science lifecycle, this is where you make that leap.

As a Mid-Level Data Engineer, you will independently develop and validate machine learning models using Microsoft Azure. You'll take ownership of specific data science projects, design experiments, and work closely with AI engineers to transition research models into production systems.

Responsibilities

Design and conduct statistical analyses and machine learning experiments using Azure ML
Develop, validate, and optimize predictive models for business applications
Perform advanced feature engineering and data preprocessing on large datasets
Design and execute A/B tests and controlled experiments to measure model impact
Build data pipelines and collaborate with AI engineers on model productionization
Communicate findings and recommendations to stakeholders through reports and presentations

Qualifications

Required:

Bachelor's/Master's degree in Computer Science, Statistics, Mathematics, or related field
5+ years of data science experience with proven track record of model development
Strong expertise in Python, machine learning frameworks (PyTorch, TensorFlow), and statistical analysis
Experience with Azure ML, data processing tools (Spark, Databricks), and experiment design
Ability to communicate complex technical concepts to both technical and non-technical audiences

Nice to Have:

Experience with deep learning and advanced ML techniques (NLP, computer vision)
Knowledge of Azure OpenAI and Cognitive Services
Familiarity with MLOps practices and model deployment

Company Description 

At Quest, we create and manage the software that makes the benefits of new technology real. Companies turn to us to manage, modernize and secure their business, from on-prem to in-cloud, from the heart of the network to the vulnerable endpoints. From complex challenges like Active Directory management and Office 365 migration, to database and systems management, to redefining security, and hundreds of needs in between, we help you conquer your next challenge now. 

We’re not the company that makes big promises. We’re the company that fulfills them. 

We’re Quest: Where Next Meets Now. 

Why work with us! 

Life at Quest means collaborating with dedicated professionals with a passion for technology. 
When we see something that could be improved, we get to work inventing the solution. 
Our people demonstrate our winning culture through positive and meaningful relationship. 
We invest in our people and offer a series of programs that enables them to pursue a career that fulfills their potential. 
Our team members’ health and wellness is our priority as well as rewarding them for their hard work.

Quest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  

Come join us. For more information, visit us on the web at Quest Careers | Where next meets now. Join Quest.

Job seekers should be aware of fraudulent job offers from online scammers and only apply to roles listed on quest.com/careers using our applicant system. Note: We do not use text messaging or third-party messaging apps like Telegram to communicate with applicants, so please exercise caution if you are approached in this way and only interact with people claiming to be Quest employees if they have an email address ending in @quest.com or @oneidentity.com

Mid Level Data Engineer

Job Description