WHO WE ARE
Choreograph is WPP’s global data products and technology company. We’re on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation.
We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising.
We’re endlessly curious. Our team of thinkers, builders, creators and problem solvers are over 1,000 strong, across 20 markets around the world.
COPILOT OVERVIEW
Copilot is a Choregraph-built, AI-powered optimization platform that enables media traders to deploy complex buying strategies and deliver better outcomes for our clients.
Our mission is to be the engine behind better advertising for everyone. We build flexible AI solutions to couple human strategy with machine intelligence. On the Copilot team we strive for daily improvement, have strong opinions loosely held, and value originality in mistakes. We take risks and work on cutting edge solutions but are always focused on people first. The Copilot team is dedicated to building responsible technology that disrupts the media industry for the better- and we like to have some fun in the process.
POSITION OVERVIEW
As a Senior Data Scientist, you will develop inference-driven features for Copilot. You will partner with product managers, engineers, and other data scientists to help identify opportunities for solving problems through the application of statistical methods and machine learning.
Copilot’s Data Science team develops innovative solutions for real-world problems by building upon the latest academic and industry research in ML and AI. As a Senior Data Scientist, you will work on projects that require applied research, developing prototypes, and running experiments to validate novel solutions to difficult problems.
Our problem space includes media buying optimization in auction and portfolio management scenarios, causal inference and incrementality measurement, predicting sparse events subject to latent confounders, and more. You will contribute to algorithms that improve the advertising outcomes for our clients, to implementing GenAI that improves the usability of a complex product, and to visualizations that aid in interpretability and understanding of models and complex systems.
We have a successful track record publishing papers on solutions developed by the team.
RESPONSIBILITIES
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Development new, inference-based features and components, from research and prototyping to writing production-ready code
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Help identify opportunities to solve problems through the application of statistical methods and machine learning
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Advance our understanding of challenging topics through experiments, prototypes, data visualization, and other techniques for communicating with experts and non-technical audiences alike
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Exemplify enthusiasm, curiosity, and collaboration that is crucial to innovate at scale
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Stay current with the research landscape in related topics
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Contribute to papers, blogs, conferences, internal communities, and other avenues to publicize team innovations and cement our company’s thought leadership on data science in our field
REQUIREMENTS
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PhD or MS degree in a quantitative field: statistics, computer science, physics, or similar
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3+ years of experience in implementing machine learning models to solve practical problems based on real-world data
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Strong analytical skills, including large-scale data manipulation and visualization.
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Theoretical knowledge of machine learning: supervised learning, unsupervised learning, clustering. Experience with model development in Deep Learning and Reinforcement Learning a plus.
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Strong programming skills in Python. Experience working with ML packages (scikit-learn, PyTorch, TensorFlow, etc.)
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Experience developing on cloud infrastructure (AWS, Google Cloud, ...)
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Strong communication skills, maintaining precision and rigor while making complex concepts accessible to non-experts.
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AdTech industry experience preferred.
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Peer-reviewed published papers is a plus.