Staff Data Scientist - Business Analytics
We are looking for a great data scientist for our Quickbooks Online (QBO) business. Quickbooks is used by over 5MM SMBs globally to run their businesses and we are the team responsible for using our data to answer the most critical questions facing the QBO Product Managers and Marketers. Everything from understanding the trends in our subscriber growth to shaping our product strategy through A/B testing and more happens within our team and we need top data scientists to help the business deliver the best possible product to our SMB customers. We are growing rapidly and need great people to support our analytical efforts in both Product and Marketing.
What does it take to thrive on our team? You need to be a top-notch problem solver and problem identifier. It's also a good idea to know the standard suite of analytical tools - SQL, R/Python, some sort of data visualization tool - but we're more interested in your ability to quickly learn new tools as the set of tools available is constantly evolving. Last, knowing that in most cases done is better than perfect is important - getting the current problem right to the sixth decimal place is almost always less impactful than getting to the next problem.
If this role sounds interesting go check out the product (https://quickbooks.intuit.com/) and if you find this exciting, then we look forward to hearing from you!
- Solve marketing and product analytics problems by doing work such as developing data structures, pipelines, and data visualizations that enable us to find insights and take action by working with click data, product-generated data, user provided data, third party data, and more
- Perform analyses that inform decisions on everything from retention strategy to product experience using predictive and descriptive analytical techniques
- Apply predictive modeling and ML techniques to problems such as predicting conversion and retention as well as customizing communications with customers
- Communicate findings from analyses in a way that enables business leaders to make better decisions
- Design and execute product and marketing experiments through A/B testing
- 7+ years of experience in generating and sharing insights from product/marketing data
- Technical experience including SQL, some form of coding (Python, Scala, etc), and ETL/scheduling such tools as Airflow
- Experience with data visualization tools such as Tableau, Superset, etc.
- Experience working with SaaS-based subscription metrics including conversion, retention and product usage is preferred
- Entrepreneurial spirit and passionate about data
- Undergrad Degree in Quantitative Field (Masters preferred)
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