Job Description

Location: Boston, MA (Rapid7 Global HQ)

Join a dynamic and fast-growing team that empowers businesses worldwide to stay resilient in an increasingly connected world. At Rapid7, we’re simplifying cybersecurity to help innovation thrive. As a Customer Success Data Scientist, you'll harness the power of data to drive impactful customer engagement strategies and shape proactive solutions.

If you're passionate about problem-solving, data analytics, and creating actionable insights, let's build something incredible together.

What You'll Do:

???? Data Wrangling & Analysis:

• Consolidate and model large, disparate datasets from multiple sources such as product usage metrics and customer surveys.
• Develop insights using descriptive and predictive analytics to build an advanced customer health model.

???? Predictive Modeling:

• Analyze patterns to proactively identify key drivers of customer health, satisfaction, and product adoption.
• Build machine learning models where applicable to improve forecasting and engagement strategies.

???? Visual Storytelling:

• Build engaging dashboards and reports in BI tools like Tableau or Power BI to deliver actionable insights.
• Communicate complex findings clearly to both technical and non-technical audiences.

???? Cross-functional Collaboration:

• Partner with internal data teams, data engineers, and customer-facing teams to ensure clean data pipelines and accurate reporting.

What You Bring:

???? Education: Bachelor’s or Master’s in Data Science, Computer Science, Statistics, Engineering, or a related STEM field.

???? Experience: 0-2 years of hands-on data science or analytics experience, preferably in customer retention analytics or SaaS environments.

???? Technical Proficiency:

• Strong knowledge of Python or R for analytics and predictive modeling.
• Experience with cloud platforms like Snowflake or GCP for managing data.
• Proficiency with Tableau or Power BI for visualization.

???? Soft Skills:

• Analytical mindset with strong problem-solving skills.
• Ability to manage multiple priorities in a fast-paced environment.
• Excellent communication skills to bridge the gap between technical teams and business stakeholders.

Nice to Have:

???? Knowledge of machine learning models or natural language processing (NLP)
???? Familiarity with Salesforce, GitHub, or data engineering tools
????? Basic understanding of cybersecurity KPIs

Why Join Us?

???? Make an Impact: Build tools and insights that directly influence customer success strategies.
???? Collaborative Culture: Be part of a team that values diverse perspectives and backgrounds.
???? Career Growth: We're dedicated to investing in your growth and success.

???? Diversity & Inclusion: We believe the best solutions come from diverse perspectives. If you're excited about this role but don't meet every requirement, we encourage you to apply anyway — your unique experience may bring something extraordinary to our team.