Rapid7 is looking for an experienced and innovative Data Scientist to join our Revenue Operations team to build sophisticated models and leverage data science to drive smarter business decisions across our Go-to-Customer organization.
Requirements
- Deep expertise in statistical modeling, machine learning, and predictive analytics.
- Familiarity with Random Forest and XGBoost algorithms is preferred.
- Strong proficiency in Python or R
- Solid understanding of SQL.
- Experience with data visualization tools like Tableau or PowerBI is a plus.
- Proven ability to apply data science methods to solve real-world business challenges and drive measurable results.
- Ability to work independently to define a problem, build a solution, and communicate the impact.
Responsibilities
- Build and deploy sophisticated models to predict a customer's propensity to spend, identifying the ideal time to engage with expansion opportunities.
- Develop opportunity scoring models to help our sales teams prioritize their pipeline and focus on the deals most likely to close.
- Develop models to predict renewal risk, allowing our Customer Success teams to proactively engage with at-risk accounts.
- Analyze and segment our customer base to inform strategies for improved retention and engagement.
- Utilize advanced analytics to quantify whitespace and total addressable market, providing strategic insights that guide our go-to-market planning and resource allocation.
- Partner with our data engineering and business intelligence teams to ensure we have a robust and scalable data infrastructure.
- Translate complex analytical findings into clear, actionable recommendations for our business leaders.
Other
- A minimum of 6+ years of experience in a data science role, preferably in revenue operations, sales operations, or a related field within a SaaS company.
- A strong understanding of the sales lifecycle, go-to-market strategies, and revenue operations.
- Excellent communication and interpersonal skills.
- You enjoy working in a fast-paced environment and collaborating with cross-functional teams.
- Embody our core values to foster a culture of excellence that drives meaningful impact and collective success.
