Principal Data Scientist

What you will be doing:

• Research and develop novel product features. You’ll be solving challenging technical and statistical problems that automate insights for Heap users.
• Test prototypes with clients. You’ll pair directly with clients to understand their data and business problems, in order to test methods and product features in practice.
• Productize and scale. You’ll partner with our engineers, designers, and product managers to turn new ideas into practical and statistically rigorous features in the Heap product.
• Level up Heap’s data science capabilities. We’re developing data science as a core competency of Heap. As an early and senior member of the team, you’ll help build and scale our technical infrastructure and lead an initiative that’s key to the company’s long-term strategy.

What we’re looking for: 

• 4+ years of professional experience as a data scientist
• Expertise in either R or Python. You’re fluent in transforming, modeling, and visualizing data to solve a variety of problems.
• Comfortable in SQL. Experience with data warehouses such as Snowflake, Redshift or BigQuery is a plus.
• Experienced with statistics and machine learning. You’re familiar with dangers like overfitting, confounding factors, and multiple hypothesis testing, and you’re well-versed in statistical methods for handling such risks.
• Practical: you care about finding effective and robust approaches that can be scaled into products, not about using the newest and shiniest technologies. 
• An advanced degree (PhD, MS) in a quantitative field is optional but preferred.
• Strong communication skills: able to collaborate with technical, nontechnical and external stakeholders, including presenting conclusions to clients.
• You prefer rapid iteration, and have an interest in proving out ideas and making decisions in as fast a loop as possible.
• You can have a lot of fun playing with data.