Senior Data Scientist

🔥 20 hours ago

🇪🇸 Spain – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Jampp

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

📣 Marketing

🎮 Gaming

💰 $7M Series A on 2015-02

Marketing • Advertising • Gaming

Jampp is a programmatic advertising platform designed to drive growth for mobile apps through user acquisition and app retargeting. The company leverages machine learning and predictive algorithms to optimize advertising strategies, ensuring positive ROI by adjusting bids, placements, and creatives dynamically. Jampp offers full visibility into ad performance and spend via its dashboard and API. Its technology is used across various industries including gaming, commerce, and financial services, helping businesses achieve growth at scale by tapping into extensive ad requests and optimizing user engagement throughout the user journey.

📋 Description

• 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 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 data pipelines, feature infrastructure and feedback loops required to train and continuously improve models • Collaborate 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 algorithm changes 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

🎯 Requirements

• +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)