Data Scientist, Confluent
Product
$139.2-163.6k
+ Bonus & equity
Data streaming platform
Job no longer available
Data streaming platform
1001+ employees
Job no longer available
$139.2-163.6k
+ Bonus & equity
1001+ employees
Company mission
Founded by the team that built Apache Kafka, their mission is to make managing Kafka easy.
Role
Who you are
- This role requires a strong blend of technical skills, strategic thinking and communication skills to influence product strategy and investment decisions
- 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
Desirable
- Experience and knowledge of causal inference, machine learning and other advanced analytical methods
- Experience in SaaS/Product-led Growth companies
What the job involves
- 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
- 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
Our take
Confluent is a commercial company built on top of the open-source Apache Kafka project. Confluent and Kafka have developed a streaming data technology that processes massive amounts of information in real-time.
The streaming database technology was developed at LinkedIn as a way of moving massive amounts of messages. The company decided to open-source that tech in 2011, and Confluent launched as the commercial arm in 2014.
While the base open-source component remains available for free download, it doesn’t include the additional tooling the company has built to make it easier for enterprises to use Kafka. Confluent's value add is in those additional tools, including a cloud version of the product and a marketplace for sharing extensions to the platform.
Confluent expanded strategic partnerships with Microsoft and acquired Immerok, and in 2023 expanded its cloud platform. 2024 saw further product expansions with the launch of the Confluent Migration Accelerator, all exemplifying how the company is living up to its name by rocket-boosting the benefits of Apache Kafka integration for companies.
Steph
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
27% female employees
14% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Apr 2020
$250m
SERIES E
Jan 2019
$125m
SERIES D
Total funding: $455.9m
Company values
- Earn Our Customers' Love - Our customers are the lifeblood of our business and our most important stakeholder. We strive to earn their love with everything we do
- To Build a Great Company, Build a Great Team - We believe that an important part of building a great company is making sure that our employees are the best they can be.
- Smart, Humble, and Empathetic - Our employees appreciate, benefit, and learn from working with other smart, humble, and empathetic people. We strive to hire those who care deeply about others and interact with empathy towards our customers, partners, and employees.
- Be Fired up and Get It Done - As much as we benefit from working with smart, humble, and empathetic employees, we also need to “get it done” to pursue our enormous market opportunity. We are in hyper-growth mode and are scaling to fill the demands of the market and our current and future customers.
- Tasteful not Wasteful - We want to invest in areas that matter the most -- in other words, spend “tastefully,” not wastefully. We believe that thoughtful spending is essential to building a high-quality business.
- One Team - It is critical that we act as and make decisions as a unified company, doing our best to optimize globally rather than locally. This means doing our best to avoid the misalignments that some companies can be prone to. It means recognizing that when employees and teams succeed, Confluent as a whole succeeds.
Company HQ
Mountain View, California
Articles
Leadership
Jay Kreps
(Co-Founder & CEO)Previously a Principal Engineer at LinkedIn.
Neha Narkhede
(Co-Founder & Board Member)Previously a Lead Engineer at LinkedIn and Oracle. They are an Investor/advisor for Gem, Block Party, Material Security, Abacus AI, Cortex Data, Yugabyte, Metaphor Data, Natalist, Common Room, and more.
Jun Rao
(Co-Founder)Previously a Senior Engineer at LinkedIn. Has a PhD in Computer Science from Columbia University.
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