We’re a well-funded start-up that focuses on changing the way people leverage data to make decisions. We believe that out-of-context dashboards are not the solution but the problem, and we’re obsessively passionate about helping people take data-driven actions! 

• You’ll have at your fingertips data from dozens of wildly different companies readily available for prototyping
• No more putting out fires or stopgap solutions. Since our analytics platform delivers DS as a service you’ll be expected to always develop best-in-class solutions
• Be it a few thousand or millions of users, B2B or B2C, casual or education apps, your algorithms will have to be robust enough to handle them all
• You will help the biggest product companies in the world leverage their behavioral data using state-of-the-art data science methods to support their next products’ decisions

You will:

• Develop large-scale innovative data-science models
• Work together with the R&D team to design automatic processes that automate the model development process
• Partner with product managers and growth experts to identify the most important business questions and opportunities
• Help build a methodology for designing and evaluating experiments

You should have:

• 3+ years of experience as a data scientist
• Experience with modern data tools and frameworks (ex: Pandas, Numpy, XGBoost, Scikit-Learn, etc)
• Deep understanding of modern machine learning algorithms and statistics
• Being able to own your models from development to production deployment
• Excellent communication skills to explain results to product managers, data analysts, and engineers
• Experience with Big-Data tools like Spark – Advantage
• Experience with Causal Inference – Advantage
• Passion and motivation to build a growth machine

*This is not a fully remote position.