Associate Data Scientist, Marketing

Employment Type: Full-Time Location Type: Remote Salary:

Position Overview

Confluent is revolutionizing data movement and its potential. Our platform enables near real-time data streaming, empowering companies to react faster, build smarter, and deliver dynamic experiences. We are seeking individuals who are inquisitive, provide honest feedback, and collaborate effectively. We foster a team-oriented environment where smart, curious individuals work together to achieve ambitious goals.

About the Role

The Data Science team at Confluent acts as the company's central data hub, responsible for building analytics infrastructure, defining metrics, generating insights, and developing models. Our work supports data-driven decision-making across all business functions. This role offers a significant opportunity for an experienced data scientist to make a visible impact in a high-growth company.

As an Associate Data Scientist, Marketing, you will be instrumental in analyzing lead funnel efficiency, evaluating marketing performance, and supporting pipeline management. You will collaborate closely with stakeholders in Marketing, Growth, Sales, and Finance to generate insights and inform strategic decisions. This position requires a blend of analytical expertise, business acumen, and cross-functional collaboration to ensure our go-to-market strategies are data-informed.

Responsibilities

• Analyze 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 and go-to-market (GTM) strategies.
• 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.

Requirements

• 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.

Company Information

Confluent is not just building better tech; we are rewriting how data moves and what the world can do with it. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them.

Our Culture

We believe that belonging isn’t a perk, but a baseline. We work across time zones and backgrounds, recognizing that the best ideas emerge from diverse perspectives. We create an environment where everyone can lead, grow, and challenge what’s possible.

We are proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other protected status.

Ready to build what's next? Let’s get in motion.