**Location:**

Remote, United States

**Employment Type:**

FullTime

**Location Type:**

Remote

**Department**

Finance & Operations, Business Technology, Data, & Operations

**Compensation:**

$62.00 – $71.00 per hour • Offers Equity

_At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click_ here (https://confluentbenefits.com) _._

**Overview**

We’re not just building better tech. We’re rewriting how data moves and what the world can do with it. With Confluent, data doesn’t sit still. 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.

It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together.

One Confluent. One Team. One Data Streaming Platform.

**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

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

**Come As You Are**

Belonging isn’t a perk here. It’s the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what’s possible.

We’re 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, veteran status, or any other classification protected by law.