Data Science Manager, User Growth
RedditFull Time
Junior (1 to 2 years)
Candidates should possess a Bachelor's or advanced degree in a quantitative discipline such as computer science, engineering, or statistics. A minimum of 7 years of experience in Data Science/Analytics is required, along with strong proficiency in data manipulation using SQL and Python, and experience with data visualization tools like Tableau. Familiarity with A/B testing, experiment best practices, causal inference, and machine learning is also necessary. Experience in SaaS or Product-led Growth companies is considered an advantage.
The Senior Data Scientist will define the data science roadmap for their product area, collaborating with product managers, engineers, and marketing leads. They will define and measure success metrics for new features, utilize data to uncover trends and identify growth opportunities, and shape product roadmaps. This role involves applying quantitative analysis, experimentation, and data mining to improve product experience, sharing actionable insights with leadership, and collaborating with other data scientists to share best practices and mentor junior team members.
Data streaming solutions for real-time processing
Confluent specializes in data streaming solutions, focusing on helping businesses manage and process real-time data streams. Its main product is built on Apache Kafka, an open-source platform that allows users to create real-time data pipelines and streaming applications. Clients, including large enterprises and financial institutions, utilize Confluent's tools to collect, process, and analyze data streams, which helps them make quicker and more informed decisions. Unlike many competitors, Confluent offers a subscription-based model for its cloud platform, Confluent Cloud, and its on-premises software, Confluent Platform, ensuring a steady revenue stream. The company also provides professional services like training and consulting to assist clients in optimizing their data streaming solutions. Confluent's goal is to be a leader in the data streaming market, enabling organizations to leverage real-time data for improved operational efficiency.