Data Scientist, Confluent

• 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

• 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
• We are looking for a highly skilled Data Scientist with a background in product analytics and a proven track record of managing stakeholder relationships.
• As a 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
• 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, and drive strategic product decisions
• 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