**Location:**

Remote, United States

**Employment Type:**

FullTime

**Location Type:**

Remote

**Department**

Finance & Operations, Business Technology, Data, & Operations

**Compensation:**

$160.1K – $188.1K • 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 limitless opportunities for an ambitious data scientist to make an immediate and meaningful‬ impact within a high-growth company.

As a Product Data Scientist at Confluent, you will be a key player in helping define the‬ experiences and driving product strategy at Confluent. You will collaborate with our Product ‭leadership team and cross-functional partners across the Data organization. You will use data‬ and analysis to identify and solve product development’s challenges, unlocking growth of our‬ product adoption funnel. This role requires a strong blend of technical skills, strategic thinking‬ and communication skills to influence product strategy and investment decisions.‬

**What You Will Do:**

+ Collaborate with product managers, product engineers, and other stakeholders to define and measure success metrics for product features and initiatives.

+ Develop and maintain dashboards, reports, and visualizations to communicate key metrics and insights to stakeholders.

+ Utilize data to uncover trends, identify opportunities for growth, drive strategic product decisions, and shape product roadmaps.

+ Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to improve product experience

+ Share actionable insights and recommendations with leadership at various levels, playing a pivotal role in determining Product strategy

+ Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making

**What You Will Bring:**

+ Strong stakeholder management skills with the ability to influence and build relationships at all levels of the organization.

+ 3+ years of experience in Product Data Science/Analytics

+ Excellent communication skills, and ability to collaborate effectively with technical and non-technical stakeholders

+ Exceptional problem solving skills and analytical skills

+ Strong proficiency in data manipulation with data querying languages (e.g. SQL). Proficiency in scripting languages (e.g. Python) preferred.

+ Proficiency in data visualization and building dashboards with tools such as Tableau

+ Experience and familiarity with A/B testing and experiment best practices

+ Bachelor or advanced degree in a quantitative discipline: computer science, engineering, statistics, economics, etc.

**What Gives You an Edge:**

+ Experience and knowledge of causal inference, machine learning and other advanced analytical methods

+ Experience in SaaS/Product-led Growth companies

**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.