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Data Science Lead
1 week ago
You will be working within the Pricing and Performance (P&P) squad, which supports the economics of the marketplace. The P&P team helps build ad scale, optimises the trade-off between candidate relevance and value creation; and extracts appropriate value when we help to deliver placements.
Key Responsibilities include Collaborating with various teams and functions to research, propose, and build new solutions and evolve existing ones using AI to improve a product or outcome; Designing and conducting online and offline evaluations to compare variants of AI-based product features; Becoming a technical reference to the team on core AI-related topics; Sometimes leading and sometimes contributing to AI projects helping the business to achieve strategic priorities; Breaking down problems and projects, estimating and prioritising activities, and proposing alternatives to overcome obstacles; Resolving impediments by liaising our Engineering and Project Management functions to build relationships within the organisation based on trust; and Working with Product, Data Science, Engineering, Strategy, and Commercial teams to address a variety of challenging business problems.
AIPS has a matrix structure where your direct line manager will act as a coach and technical mentor, but your day-to-day activity will be determined by the squad priorities. Key accountabilities include Forming clear data addressable problem statements from current business problems; Gathering, validating, and understanding data relevant to the problem statement; Designing and building data transformation pipelines and machine learning algorithms to solve the business problem; Working with product management and other business collaborators to review and iterate data products to fit emerging market trends; and Evangelising appropriate ML methods and explaining them, and their associated benefits and limitations to team members from Engineering and Strategy.
Essential Qualifications, Skills, and Experience include A MSc or PhD qualification in Computer Science, Computational Physics, Mathematics, Statistics, or a related field, or at least 5 years relevant experience; Professional experience in at least one of: Python, R, SAS, Julia, MATLAB, etc. We are mostly a Python shop; Strong background in Statistics and Machine Learning; Strong background in Algorithms and data structures; Good communication and interpersonal skills; and Ability to adapt quickly and thrive in an environment of rapid change and development.