Lead Data Scientist

Posted 3 days 2 hours ago by Jobtailor

Permanent
Full Time
Other
Dublin, Ireland
Job Description
Responsibilities
  • Explore & mobilise new data science applications for pricing, including but not limited to delivery of pricing models that harness predictive capabilities to advise pricing strategy decisions.
  • Deploy sophisticated statistical analysis and data manipulation techniques to analyse experimental data, identify trends and derive relevant conclusions.
  • Coordinate set up and definition of experiments, deploying statistical techniques and processes, ensuring robust trial outputs that yield actionable insights.
  • Build autonomous systems to monitor high volumes of price experiments & strategies, tracking critical metrics vs expectations and surfacing to the wider pricing team.
  • Maintain comprehensive documentation of experimental builds, methodologies, and results to ensure transparency and reproducibility.
  • Lead preparation and present findings to interested parties, clearly communicating the implications of pricing experiments on business strategies.
  • Work proactively with cross functional teams, including commercial, finance and product development, to align data insights with business objectives.
  • Lead senior data scientists, coordinating their respective focus areas and workloads as well as developing them personally to grow their careers.
Requirements
  • Experienced leader in data science with track record leading a data science function, ideally within a customer focussed or commercial domain.
  • Proficiency in multiple advanced analytics and data manipulation tools (e.g., Python, SQL, Excel, Tableau)
  • Strong analytical and quantitative skills, with a proven track record to interpret complex data sets
  • Experience with experiment design and parameter definition (sampling, control vs. test groups, front end product changes)
  • Experience in sophisticated statistical modelling techniques (e.g. regression, significance testing, clustering, A/B testing, time series analysis)
  • Excellent documentation skills, with attention to detail and the ability to build clear and concise reports.
  • Excellent verbal and written communication skills, with the ability to present complex information clearly to diverse audiences
  • Strong problem solving abilities and a proactive approach to finding opportunities for improvement
  • Ability to manage and own multiple data and analytics assets simultaneously and to meet deadlines in a fast paced environment
  • Collaborative outlook, able to build strong and effective relationships both within the Pricing team and across the business at all levels
  • Ideally, experience working on pricing and/or pricing strategy projects in a large business setting.