Senior Data Scientist, Product

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.

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 infrastructure, metrics, insights, and models. Our team of data scientists is dedicated to designing and deploying advanced data solutions that enable organizations across the globe harness the power of real-time data.

We focus on driving actionable insights and optimizing business outcomes across our customers’ data ecosystems. 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 our high-growth company.

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

• Own prioritization for your domain and collaborate with product managers, engineers, marketing leads, and other stakeholders to define the data science roadmap for your product area

• Work across the org to define and measure success metrics for new features and initiatives

• 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

• Peer review teammates’ work and provide feedback, working to upskill more junior team members

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

• 7+ years of experience in 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) and scripting languages (e.g. Python).

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

• Experience with A/B testing and experiment best practices

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

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

• Experience in SaaS/Product-led Growth companies

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.