About the Role:

The mission of the Data Science team at Confluent is to serve as the central nervous system of all things data for the company: we build analytics infrastructure, metrics, insights, and models. Our outputs enable data-driven thinking and help optimize every part of the business. There are exciting opportunities for an experienced data scientist to make a significant and visible impact within a high-growth company.

As an Associate Data Scientist, Marketing at Confluent, you will play a key role in analyzing lead funnel efficiency, evaluating marketing performance, and supporting pipeline management. You will partner closely with stakeholders across Marketing, Growth, Sales, and Finance to drive insight generation and strategic decision-making. This role blends hands-on analytical work with business context and cross-functional collaboration to ensure our go-to-market strategies are data-informed.

What You Will Do:

• Explore marketing and sales data to identify opportunities for improving funnel conversion and pipeline generation.

• Define and refine marketing metrics to measure success, and build scalable reporting to monitor pipeline health and performance drivers.

• Translate well-defined business questions into analytics problems, select appropriate approaches, and communicate clear results to managers and business partners.

• Apply deep dive analysis, predictive modeling, or experimentation to drive product & go-to-market (GTM).

• Analyze customer journey phases—from awareness to conversion—leveraging metrics like ROI, CLTV, and CAC to uncover optimization opportunities.

• Collaborate with other data scientists to share techniques, improve processes, and contribute to a data-driven culture across Confluent.

What You Will Bring:

• 2+ years of experience in data science or advanced analytics, with at least 1–2 years supporting a marketing or go-to-market function—preferably in a B2B SaaS environment

• Strong proficiency in SQL and intermediate Python / R skills.

• Experience building and maintaining dashboards and data visualizations using tools like Tableau or similar platforms

• Demonstrated ability to communicate insights effectively to both technical and non-technical audiences

• Working knowledge of marketing attribution techniques and A/B testing methodologies

• Strong problem-solving skills and attention to detail

• Bachelor’s or Master’s degree in a quantitative field such as computer science, statistics, economics, or engineering

What Gives You an Edge:

• Hands-on experience with marketing measurement and attribution across SEO, paid media, email, and other channels

• Familiarity with Salesforce and the B2B marketing tech stack

• Exposure to causal inference, customer segmentation, or predictive modeling techniques

• Experience working in cross-functional pods with stakeholders across Sales, Finance, and Product