Data Scientist (Marketing), Confluent, US

About The Company

Confluent is a leading platform dedicated to transforming how data moves and is utilized across organizations. Our mission is to enable companies to harness the full potential of real-time data streaming, allowing them to react swiftly, innovate continuously, and deliver dynamic customer experiences. We are committed to rewriting the rules of data infrastructure, providing a scalable and reliable platform that integrates seamlessly into diverse enterprise environments. At Confluent, we believe in fostering a collaborative and inclusive culture where curiosity, innovation, and integrity drive our success. Our solutions empower businesses across various industries to unlock insights, optimize operations, and stay ahead in a data-driven world.

About The Role

We are seeking a skilled Marketing Data Scientist to join our Business Technology department. In this full-time, remote position based in the United States, you will play a crucial role in analyzing and optimizing our marketing funnel, measuring campaign effectiveness, and supporting pipeline management initiatives. Your insights will directly influence strategic decisions, helping us improve lead conversion rates and overall marketing performance. Collaborating closely with Marketing, Growth, Sales, and Finance teams, you will leverage your analytical expertise to explore data, conduct in-depth analyses, and generate actionable recommendations. Your work will ensure that our marketing efforts are data-driven, efficient, and aligned with our company's growth objectives.

Qualifications

• 3+ years of experience in Data Science supporting marketing functions, preferably in a B2B SaaS environment
• Proficiency in SQL with at least 3 years of hands-on experience
• Strong scripting skills in Python or R for data manipulation and analysis
• Experience with data visualization tools such as Tableau
• Excellent communication skills to effectively collaborate with both technical and non-technical stakeholders
• Experience with marketing attribution models across multiple channels (SEO, Paid Search, Social, etc.)
• Knowledge of A/B testing frameworks and methodologies
• Degree in a quantitative discipline such as computer science, engineering, statistics, or economics; advanced degrees preferred
• Understanding of customer journey metrics including ROI, CLTV, and funnel conversion metrics

Responsibilities

• Identify high-impact opportunities through comprehensive data exploration and analysis
• Generate strategic insights by collaborating with cross-functional teams to improve top-of-funnel conversion metrics
• Define and develop marketing metrics to measure success and build scalable reporting systems to monitor pipeline health
• Analyze drivers of key performance indicators and provide actionable insights to leadership
• Design and execute A/B tests to evaluate the impact of product features and marketing campaigns, guiding iterative improvements
• Deepen understanding of customer journey phases, from awareness to conversion, and optimize accordingly
• Collaborate with data scientists and other stakeholders to share best practices and promote a data-centric decision-making culture
• Support the development of attribution models and advanced analytical techniques to measure marketing effectiveness

Benefits

• Competitive salary ranging from $160,100 to $188,100, with equity options
• Comprehensive benefits package, including health, dental, and vision insurance
• Flexible remote work environment across the United States
• Opportunities for professional growth and development in a cutting-edge technology company
• Collaborative and inclusive company culture that values diversity and innovation
• Access to resources and tools to support work-life balance and well-being

Equal Opportunity

Confluent is an equal opportunity employer. We are committed to creating an inclusive environment where all employees and applicants are treated with respect and dignity. Employment decisions are made based on job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected class.