Rapid7 Customer Success Data Scientist 

United States, Massachusetts, Boston 

422701030

In this role, you will:

• Develop/Consolidate disparate and large datasets for use in reporting, analytical, and modeling work from multiple sources including product usage, customer surveys, etc.

• Model and analyze datasets using descriptive and predictive analytics or methodology to identify how metrics correlate to customer health.

• Engage directly with internal data teams to ensure the data is accurately collected, measured and reported.

• Build Dashboards and reports in BI tools to present metrics visually and articulate findings to both technical and non technical audiences.

• Collaborate across multiple teams including data engineering and other internal technical teams

The skills you’ll bring include:

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a related STEM field.

• 0-2 years of hands-on experience in data science, customer retention analytics or a similar role.

• Strong understanding of customer retention metrics and strategies in SaaS.

• Strong analytical skills and proficiency in building predictive models in any analytics tools or scripting language(e.g. Python/R, etc) and the ability to articulate the model to non technical audience.

• Ability to manage large volumes of data in any of the cloud computing platforms such as Snowflake or GCP.

• Experience with data visualization tools such as Tableau or Power BI to answer business questions.

• Ability to prioritize and meet deadlines within a dynamic, evolving portfolio of responsibilities in a fast-paced environment.

• Motivated with a strong desire to succeed, both individually and as part of a team.

Nice to have:

• Knowledge of Machine Learning models or natural Language processing

• Experience with Salesforce or other similar CRM platform

• Experience with github or familiarity with data engineering and data management tools and processes

• Basic knowledge of cybersecurity and performance KPIs.