Senior Data Scientist, Jampp

• +5 years of experience in Data Science, Machine Learning or a closely related quantitative role
• Strong academic background in Applied Mathematics, Physics, Statistics, Computer Science, Econometrics, or another quantitative field
• Strong experience with Python and the scientific/machine learning Python ecosystem
• Hands-on experience developing and evaluating machine learning models, with a solid understanding of statistical and machine learning fundamentals
• Practical experience with Deep Learning and neural network architectures
• Experience working with large-scale datasets and/or high-cardinality categorical or ID-based features
• Ability to take models from experimentation through production, working closely with engineering teams
• Strong analytical and problem-solving skills, with the ability to independently investigate ambiguous problems and turn them into actionable solutions
• Comfortable conducting daily professional communications in English (written and verbal)

Desirable

• Data, and how it is used, plays a central role at Jampp and is at the heart of how we make product, business, operational, and financial decisions
• Our Data Science team tackles challenging problems across many technical disciplines, including time series forecasting, graph mining, algorithmic optimization on petabytes of data, causal inference with missing data, and machine learning at scale
• We are now taking our machine learning platform to the next level
• We are evolving from models built around manually designed features towards a deep learning architecture based on embeddings, allowing our models to learn richer representations of users, devices, creatives, publishers, advertisers, apps, campaigns and placements
• As a Senior Data Scientist, you will play a key role in this transformation
• You will work hands-on on the design, development and deployment of DNN-based models that power prediction, bidding and optimization
• You will collaborate closely with Data Scientists, ML Engineers, Software Engineers and Data Engineers to turn research ideas into production-ready solutions with measurable impact on our core product
• This is not a research silo
• You will have the opportunity to work with massive, high-cardinality datasets, real-time systems and models that directly influence how Jampp bids on millions of advertising opportunities every second
• Design, develop and iterate deep learning models for prediction and optimization
• Develop embedding-based approaches to represent high-cardinality entities such as users, devices, creatives, publishers, advertisers, apps, campaigns and placements
• Identify opportunities to improve the performance, scalability and generalization of our machine learning models using raw signals and learned representations
• Experiment with different modeling approaches, evaluate results rigorously and translate successful experiments into production solutions
• Design, code and deploy machine learning models and supporting production tools, primarily in Python
• Work with large-scale datasets and contribute to the data pipelines, feature infrastructure and feedback loops required to train and continuously improve our models
• Collaborate closely with ML Engineers, Data Engineers and Software Engineers to ensure models can be trained, served and monitored reliably in production
• Analyze model and product performance metrics to understand how changes in our algorithms impact bidding, campaign performance and business outcomes
• Communicate technical findings and trade-offs clearly, and collaborate with other Data Science teams to share knowledge and best practices