Senior Data Scientist, Data Analytics
- Mountain View, California
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 as there are no points for an elegant solution to the wrong problem. It’s also a good idea to know the standard suite of analytical tools - SQL, R/Python, some sort of data visualization tool - but more importantly you must know how to learn tools quickly. We also often find that having a bit of a software engineering mindset is valued too - much like good software solutions, good analytical solutions are scalable and repeatable as this is what allows us to solve a problem once and go tackle the next one. 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.
- 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, event 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
- Communicate findings from analyses in a way that enables business leaders to make better decisions
- Ability to help design and execute product and marketing experiments through A/B testing
Qualifications / Experience
- 5+ 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)
TO APPLY, PLEASE VISIT https://click.appcast.io/track/1fp5cp9?cs=ffo&pjg=1rt3&jpid=3uql
Size 5000+ employees