Data Scientist

Location: Dublin 14
Department: Operations - Operations & Trading

What are we looking for?

We research and build deployable data science models to improve outcomes for the business, our suppliers, partners and customers. In 2020 we are expanding our deployment pipeline so that your choice of model will no longer be constrained by "productizability". So, if a logistic or CHAID makes sense, by all means use it - but if you can justify a TensorFlow approach with a better confusion matrix, we`re open to it. Think of us as a Kaggle that will get deployed into production.

What you will be doing?

The essential functions of this position include but are not limited to:
-Developing industry-leading data science solutions through working with:
oOur Data Science Manager, Head of Insights & Data and stakeholders to understand the business problem to be solved
oData Intelligence colleagues to source the data required for model(s)
oData Science colleagues to select/develop optimal algorithms/techniques
-Devising statistically robust testing plans to validate/demonstrate model efficacy
-Interpreting real-time feedback from deployed tests and adapt where necessary

-Collaborating with colleagues in Trading, Finance, Supply, Partner and Customer functions to solve real problems with deployable solutions
-Effectively communicating outputs to other team members and the wider business in a concise manner that can be understood by both technical and non-technical audiences
-Keep up to date with the latest techniques
oWe are particularly supportive of ongoing learning and development
oWe have a ringfenced training budget and a flexible approach to self-paced online learning and appropriate training (Head of Insights & Data approval required)
-Become active in the global data science community - meetups, university collaborations, data science open source, etc.

Skills required:

-M.S. or Ph.D. in a relevant quantitative field, or 3+ years` experience in a relevant role
-Demonstrated skills in modelling, algorithms, stats and machine learning workflows
-Ability to communicate with colleagues in a clear, precise, and actionable manner
-Familiarity with relational (SQL) databases
-Ability to create compelling visualisations and dashboards (we use Superset and Tableau primarily - for legacy reasons - but of course open to others
-Proficiency with Git and modern development workflows (pull requests etc...)
-Working knowledge (and respect for) factors which need to be considered when deploying to production environments (computational complexity, resource requirements etc...)
-Experience using more advanced ML libraries (TensorFlow, PyTorch, MXnet, etc..) a plus

Sorry, this vacancy is closed.

To sign up for job alerts and have jobs emailed to you click here