With Objectiv, we’re building open-source product analytics, designed for data science.
We are looking for an experienced Data Scientist that wants to help unify the way data scientists collect & model product analytics data.
We're on a mission to unify the way data scientists collect & model product analytics data. Every DS team in every company is defining how to collect, structure, clean and model data in a silo, while their modeling goals are so similar. We’d like to give data scientists what engineers already had for a long time: the ability to reuse, take off-the-shelf and contribute to modeling work of others.
Objectiv just soft launched the open-source project that goes after our mission. Right now we are collecting very valuable feedback from a group of experienced DS teams. We use this to iterate on the short term roadmap and will shortly move more into the public, step-by-step. See our site, docs and repo for a rundown on where we are. You can also spin up a local docker demo of the full pipeline in the quickstart.
The key part of the project that is directly used by data scientists, is the open model hub. This is a collection of pre-built models that can run out of the box on data collected using the open analytics taxonomy.
It is key to our strategy to make sure this model hub contains high quality models that suit many common analytics use cases. Think of these models as lego blocks; we want DS teams to reuse, stack, and interchange them in any way and continue to build advanced ML on top of it.
Right now, we have basic models for common analytics use-cases like retention, conversion, duration, etc. But our ambition goes much, much further. So we are looking for someone that is very experienced in building generic models and has a strong opinion on how these should work and which should be usable for anyone.
What we are looking for in this role:
- You are an expert in Pandas and SQL.
- You have hands-on experience building great machine learning models, and using libraries like scikit-learn and others extensively.
- You have at least 5 years of working experience in a data science role working with product analytics data.
- You have built many models for many analytics use-cases.
- You have a master's degree in data science, software engineering, math, physics or something related.
- You have a can-do attitude. Even when the problem seems huge, you're able to chop it up and solve the chunks.
- You are fluent in English.
- This is a remote role in EU timezone with quarterly team offsites in The Netherlands.
Our work setup
We have a battle-tested remote-friendly work setup: daily video standups, Tuesdays for all-team updates, syncs and making decisions on how to move forward together, and Virtual Fridays to close a week of head work together and head into the weekend. We also bring the team together f2f on a quarterly basis for outings.
We don't care when work is being done, we care about what is being done. So our team is used to taking exercise breaks or spending family time during the day and then getting stuff done in the evening. Things like that.
What we offer
A role in a super motivated and experienced team that is on a mission. Our team has over a decade of experience in analytics and has made it their core focus to build the best possible workflow for data science. Thanks to the support of Fly Ventures & LocalGlobe we can focus on the long-term and take the time to get the product just right. They were also the early backers of startups like Figma, Tessian and Robinhood.
Join us in the early days of the product, where you will be able to leave your mark in the open-source community for data science. Our goals are very ambitious and this will allow you to grow with the company.
Like what you have read and think you meet the mark? Then we'd love to hear from you.