Associate Data Scientist, Confluent

• 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

Desirable

• 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
• 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