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Lead Data Scientist

Lead Data Scientist
Dublin Permanent Office Negotiable Ref: E19250LPG

Job Description

My Dublin based, Global client who are within the Utilities Sector is looking for a Lead Data Scientist to join their team.

Job Responsibilities

  • Driving the research and development of state-of-the-art data-science algorithms involving advanced Digital Signal Processing and Machine Learning techniques – including Deep Learning;
  • Driving the research and development of high-quality, labelled datasets to support algorithm development;
  • Identifying system constraints and incorporate them into algorithm, dataset design and development;
  • Awareness of the performance issues (Memory & CPU) when implementing algorithms on resource-constrained platform(s);
  • Planning projects and feature roadmaps, estimate time and resources required to complete projects; identify, and communicate solutions for blockers or other technical challenges experienced during project lifetimes;
  • Documenting and demonstrating solutions by using flowcharts, diagrams, code comments, code snippets, and performance instruments;
  • Mentoring; and
  • Ensuring that functionality is usable, reusable, and extensible for data scientists across the enterprise.

Experience Required

  • Minimum of a bachelor’s or higher degree(s) in computer science, computer engineering, electronic engineering, or other numerate degree;
  • 4+ years’ of progressive involvement in the application of data science to solve real-world problems;
  • Extensive practical experience across multiple projects of developing algorithms involving state-or-the-art AI techniques, including digital signal processing, and machine learning – including deep learning;
  • Skilled in the disciplined application of data science to solve business problems – time-boxed exploratory research, track progress with respect to defined metrics, frequent stakeholder feedback;
  • 3+ years of experience implementing data science algorithms across distributed infrastructure including embedded environment(s);
  • Implement algorithms in software and optimise for algorithm implementations for deployment on resource constrained devices;
  • Analyse high-level requirements to plan data science initiatives and provide accurate estimates of delivery-time and resources required;
  • MATLAB, Simulink, and Python skills;
  • Experience in experimental design;
  • Experience in planning and executing data collection initiatives for dataset development;
  • Extensive awareness of data quality issues and practical experience of data cleaning;
  • Experience working with Agile development methodologies and concepts; and
  • Ability to effectively explain technical concepts and solutions.

Consultant Details

Luke Prendergast's Profile Picture
Name: Luke Prendergast
Title: Technical Recruiter
Tel: 01 2866666
Apply for Job Call me now Add to Shortlist

How to Apply

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