[Hiring] Senior Data Scientist @Jampp

Role Description

As a Senior Data Scientist, you will play a key role in transforming our machine learning platform. 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.

• 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.

Qualifications

• +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).

Requirements

• You have experience building and deploying deep learning models using embeddings or other representation-learning techniques.
• You have experience working on recommendation systems, ad-tech, bidding, pricing, ranking, personalization, fraud detection, or other optimization problems at scale.
• You have experience with highly imbalanced datasets and/or large-scale prediction problems.
• You have worked with models operating in real-time or other latency-sensitive environments.
• You have experience designing or contributing to ML infrastructure, feature stores, training pipelines, model serving, or monitoring systems.
• You enjoy working on problems involving billions of data points, millions of entities, and complex interactions that cannot easily be captured through manually designed features.
• You have pride in working on projects from experimentation through successful production deployment, involving a wide variety of technologies, systems, and modeling techniques.
• You like working in a self-sufficient, autonomous manner, striving through ambiguity and taking ownership of your work.
• You have a sense of urgency and ownership over the product, and care about measuring the real-world impact of your solutions.
• You are curious, pragmatic, and comfortable balancing technical depth with practical business impact.
• Smarts, humility, and equal willingness to learn and teach.