Lead Data Scientist

Lead Data Scientist

Dublin, Ireland

About the Company:

Our client is a global, ethical power company focusing on providing energy-efficient solutions that make a real impact. They are working on solving the technical challenges of today’s digital world, while developing ground-breaking technology that’s going to power the next generation of products and services.

The Team:

Our client is continuing to expand their organisation and are recruiting a Lead Data Scientist to join their Edge Intelligence team. The Lead Data Scientist will collaborate with product groups to develop new data-science based product features. The features will primarily address emergent use cases in the industrial and energy domains.

The Role:

The successful candidate will be expected to analyse requirements to drive the research and development of new data-science algorithms, encompassing advanced Digital Signal Processing and Machine Learning techniques. In addition, the candidate will be expected to understand and consider system constraints – especially constraints related to implementing algorithms on resource-constrained platforms.

Responsibilities:

• Engage with business units to define and evaluate opportunities for applying data science in the organisation, particularly for future product features
• Drive the research and development of state-of-the-art data-science algorithms involving advanced Digital Signal Processing and Machine Learning techniques – including Deep Learning
• Drive the research and development of high-quality, labelled datasets to support algorithm development – including the design of experiments
• Identify system constraints and incorporate into algorithm and dataset design and development
• Awareness of the performance issues (Memory & CPU) when implementing algorithms on resource-constrained platform(s)
• Plan 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
• Document and demonstrate solutions by using flowcharts, diagrams, code comments, code snippets, and performance instruments
• Mentor others in the use of our tools and techniques
• Stay abreast of relevant data science techniques, tools, and methodologies
• Protect Intellectual property
• Ensure that functionality is usable, reusable, and extensible for data scientists across the enterprise.

Requirements:

Essential:

• Requires a minimum of a bachelor’s or higher degree(s) in computer science, computer engineering, electronic engineering, or other numerate degree
• 5+ 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
• 2+ years of experience implementing data science algorithms across distributed infrastructure including embedded environment(s)
• Proven ability to implement algorithms in software and optimise for algorithm implementations for deployment on resource constrained devices
• Ability to analyse high-level requirements to plan data science initiatives and provide accurate estimates of delivery-time and resources required
• Excellent 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
• Excellent verbal and written communication skills including the ability to effectively explain technical concepts and solutions
• Strong communications and mentoring capabilities
• High comfort engaging with academic literature.

Desirable:

• Broad-based expertise in the IoT, Cyber-physical systems and edge computing
• Experience building and extending libraries to support software functionality needs of other roles
• Record of intellectual property generation and/or academic publications
• Experience in optimising code, identifying bottlenecks, and maximising performance on constrained hardware
• PhD in data science, energy or industrial application domain
• Experience porting algorithms written in high level language such as Python and MATLAB to C/C++ for deployment on embedded device
• Automatic code generation experience.

For more information, please reach out to me at adelaine@alldus.com