Senior Manager, Data Science

View full description

Requirements:

• 7+ years of experience in data science, analytics, or machine learning, with at least 1-2 years in a leadership role.
• Strong proficiency in Python, SQL, and cloud-based data platforms.
• Deep understanding of statistical modeling, causal inference, and regression techniques.
• Experience in feature development for MTA models and testing methodologies; experience with marketing data and consumer business KPIs.
• Ability to hire, manage, and mentor data scientists while contributing as an IC.
• Strong communication skills to effectively collaborate with engineers, product teams, and stakeholders.

Responsibilities:

• Lead and mentor our lean data science team, fostering growth and technical excellence.
• Own feature development for testing, MMM, and MTA models, ensuring methodological rigor and scalability.
• Act as a hands-on contributor, developing statistical models and validating approaches for both testing and attribution.
• Work cross-functionally with engineering and product teams to integrate data science solutions into Rockerbox’s platform.
• Drive best practices in model validation, experiment design, and data pipeline efficiency.
• Identify opportunities to leverage AI and machine learning for enhanced insights and automation.
• Collaborate with leadership to define team growth, hiring needs, and strategic priorities.