Data Scientist
Remote, Europe
Lago
Lago offers a self-hosted, scalable and modular architecture for metering and usage-based billing, at every stage of your company.Lago is the leader of our category on Github (5k+ stars), won « Product of the month » on ProductHunt, and is used by leading companies such as Mistral, Together, Swan, Juni, Fintecture, JuliaHub, Regate, Flipside Crypto, Unifonic, Vida.id , Bureau.id, Sortium.
Lago’s founding team previously built and scaled the home-grown monetization system of fintech unicorn Qonto from pre-launch to series D.
We're a lean, ambitious team of 12 today and will be a team of 20 in the upcoming months, and we're all about Product, FinTech and Open Source.
Our Product is really tech-driven, as we process and structure a lot of data, and build for developers so we have numerous exciting challenges for our first Data Scientist!
What you'll do
- Leverage Lago’s data to build new product features that bring value to our customers
- Work with batch and real-time product usage data to build and improve models for Lago’s business.
- Develop, productionize, and operate data models and pipelines at scale.
- Drive end-2-end algorithm development of productionized models i.e. specifications, training data generation, testing , parameter and feature tuning.
- Identify and articulate areas where data science can help grow Lago via business operations and product improvements.
- Work with our Product Engineering team to understand customer needs and challenges
The ideal candidate will have
- 5+ years experience in machine learning with an advanced degree in computer science or equivalent.
- Programming experience in Python / Scala / Java or equivalent.
- A focus on building vs. researching
- Working knowledge of machine learning best practices (e.g. A/B test, feature engineering, feature/model selection), algorithms (e.g. gradient boosted trees, deep learning / neural networks , optimization and NLP) and domains (e.g. natural language processing, anomaly detection, personalization and recommendation).
- Experience in technologies such as TensorFlow or SageMaker.
- Experience building and productionizing ML models.
- Fluent in English: verbal and written.
- A genuine passion for Open-Source: if you’ve contributed to OSS projects or used OSS tools, let us know!
- Bonus: you’ve worked on billing or tax projects: whether it was to implement a billing system, or maintain it, or integrate it with business tools (e.g., a CRM, Finance tools)
- A real appetite for the early stages of co-creating a product and shaping Lago's future
Open-source does not win by being cheaper Post-mortem of our 1st YC startup: a Reverse ETLHow soon should you have a design system?How we ship fast: our framework
Our Values
Ambition: we aim big, because otherwise, where is the fun?Progress: we care more about the grit, the steep learning curve, the resilience and creativity muscles, than the current status or where you come from.Humble confidence: we know our strengths and always strive for excellence, but we also know there’s so much we don’t know yetPay it forward: we’ve all started somewhere, people gave us a hand when we needed one, we don’t forget this, and reinforce this positive cycleNot taking ourselves too seriously: we are ambitious, restless learners and hustlers, but at the end of the day, our health (physical and mental), and our loved ones are what matter the most.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Crypto Deep Learning Engineering ETL Feature engineering Finance FinTech GitHub Java Machine Learning ML models NLP Open Source Pipelines Python SageMaker Scala TensorFlow Testing
Perks/benefits: Career development Startup environment
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