Lead Data Scientist

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.