Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That’s the power of data in motion in action—giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business. At Confluent, we’re building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world.
We’re looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent’s enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow—whether you’re just starting out in your career or managing a large team, you’ll be amazed at the magnitude of your impact.
Who We Are
The data team strives to build out the central nervous system for the whole company in order to drive better and faster decisions via data. Our charters include both Data Engineering and Data Science. It is our responsibility to build world class data infrastructure and tooling to enable company-wide analytics, create insights & models and data products to drive business growth at scale.
We are passionate about helping our graduates kick start their careers through our Development Program. Our graduate training program is underpinned by a development framework that broadens and deepens your knowledge. As a member of the team you will:
-Hone your technical toolkit and soft skills
-Learn from hands-on coaching and an outstanding variety of work
-Develop business, personal and technical skills to use throughout your career
-Be part of an organization who enables development teams to improve Confluent Quality
Your Impact & Who You Are:
As a Data Scientist Intern, you will:
-Partner with Product and Engineering teams to solve problems using data, identify trends and opportunities, and extract useful product insights
-Define, evaluate, and productize success metrics to improve understanding of our products
-Apply modeling techniques to optimize results and guide strategic decisions
-Currently enrolled in Computer Science, Statistics, Operational Research or related Masters or Ph.D program with at least 1 semester/ year of school remaining
-Able to code using SQL or Python (data manipulation)
-Someone who has excellent communication skills both written and verbal
-Smart, humble, and empathetic
-Maintains a positive can-do attitude
-Have a strong sense of teamwork and put team’s and company’s interests first
-You work to a high standard and have a healthy appetite to learn from the team and autonomously
-Driven and excited about challenges of a fast-paced, team oriented & innovative software startup environment
-You display an excitement and passion for your work
Come As You Are
At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact.
Confluent requires all employees (in office and remote) in the U.S. to be vaccinated for COVID-19. Consistent with federal, state, and local requirements, Confluent will consider requests for reasonable accommodation based on medical conditions/contraindications or sincerely-held religious beliefs where it is able to do so without undue hardship to the company.
Click here to review our California Candidate Privacy Notice, which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.
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