Job title: Data Scientist
Job type: Permanent
Emp type: Full-time
Industry: Computer Software
Salary: Negotiable
Location: Dublin, Ireland
Job published: 14 Sep 2022
Job ID: 34282
Contact name: Jason Evans
Contact email: jason@ingenio-global.com

Job Description

Role: Senior Data Scientist

Location: Dublin - remote with travel to office twice a month

Salary: 80-90K DOE

 

We have an INCREDIBLE opportunity for an enthusiastic Senior Data Scientis to join a family-owned document and information management company.

This is a senior role reporting to the Head of Engineering and have a dotted line to the COO and is responsible for the continued development of an existing models in prototype status in the business. The software is a full Microsoft Stack (MVC, C#, JQuery, EF, SQL Server).

Key Responsibilities

  • Use analytics, statistical software, and database technologies such as Python, SQL, R, Spark, Hadoop and others to analyse, review and interpret complex data
  • Uses a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data
  • Build and maintain production-ready machine-learning models
  • Identify drivers of patterns/behaviors uncovered in data
  • Engage with subject-matter experts to explore business problems and design solutions
  • Present analysis and interpretation for operational and business review and planning
  • Support short and long term operational/strategic business activities through analysis
  • Develop recommended business solutions through research and analysis of data and business process and implement when appropriate
  • Ensure on time delivery of solution test and build. Oversee the resolution of major technical issues.
  • Support the strategy for business improvements using best in class technology.
  • Create overall technology standards and practices and ensure best practice development processes are followed (Code documentation, peer reviews, unit testing etc).
  • Track, analyse and monitor all delivery performance metrics.
  • Oversee all system design and changes in system architecture.
  • Keep abreast of new trends and best practices in the technology landscape and implement a culture of continuous improvement.
  • Work closely with Business Development and Operations to define and deliver new products and enhancements.

 

Required Qualifications

  • Degree in Analytics, Statistics, Physics, Mathematics, Engineering, etc with a significant quantitative aspect
  • Track record of developing machine learning models
  • Well-rounded data science skill set – eg exploratory data analysis, feature engineering, fitting, tuning, evaluating and comparing models etc
  • Experience with common open source ML libraries – especially with Python or R
  • Ability to communicate effectively to clients and the business in writing and verbally
  • A passion for problem solving using data and analytics

Preferred Qualifications:

  • Experience with relational databases
  • Experience with Spark/PySpark
  • Experience in at least one data visualization tool for displaying and exploring analytic results such as Plotly, R Shiny, Matplotlib or similar