Location: Helsinki, Commitment Full-Time, Team Data Science Engineering
We are looking for an experienced data scientist who is eager to turn data science into fully automated, data-driven, scalable products that provide value for our customers.
You'll be working in a highly autonomous self-organizing development team that owns its roadmap and chooses its own technologies. You’ll develop the product at a fast pace with other data scientists and developers, and occasionally also with our end users—the largest online marketers globally.
To get an idea of the kind of work we do, see for example these blog posts:
What to expect from our recruitment process
1. First meeting: before diving deeper into your tech skills, we want to know who you are and what motivates you. This is also an opportunity for you to learn more about Smartly.io.
2. Technical interview: we’ll discuss areas relevant to you ranging from ML and Bayesian methods to computer networks, programming and development methods. We’re trying to get a clear overview of your skills and where you could learn more.
3. Analytics exercise: we’ll run through a real-life data analytics exercise to make sure that you can also code. You can use your favourite language for data analytics (R, Python, Jupyter Notebooks). The session will be very interactive.
Who we are
Smartly.io is building a platform to automate every step of social advertising to unlock greater performance and creativity. We are a global team of over 350 Smartlies with footholds in 17 cities, serving more than 650 brands worldwide, including eBay, Uber and Zalando.
We’re building the best product company to work for, where highly autonomous engineering teams can take full ownership of creating world-class software. As a Smartlie engineer, you get to tackle challenges of considerable scale and complexity. We develop our product at a fast pace and in close cooperation with the largest online businesses globally.
We take ownership, optimize impact and maximize learning. Smartlies choose us and grow with us thanks to the company culture and smart colleagues. Learn more at smartly.io/culturehandbook.
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