Data Science Manager

Blend360•Columbia, MD

6d•$125,000 - $160,000

About The Position

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com

Requirements

5+ years of experience in marketing experimentation, incrementality testing, or related analytics roles
Expertise in statistical methods and experimental design (A/B testing, statistical significance, power analysis, etc.)
Demonstrated ability to communicate complex statistical concepts to non-technical stakeholders
Strong project management skills with ability to manage multiple workstreams simultaneously
Experience building and leading analytics teams or mentoring junior analysts

Nice To Haves

Proficiency with Python, R, or SQL for data analysis and automation
Experience with AI/ML tools and prompt engineering for workflow automation
Familiarity with marketing measurement platforms and analytics tools
Experience working in embedded client or consulting environments

Responsibilities

Lead client-facing incrementality testing and experimentation initiatives across paid and owned marketing channels
Serve as a strategic partner to marketing, measurement, and analytics stakeholders on testing design, interpretation, and decision-making
Lead development of and drive adoption of Claude Code and AI-enabled workflows to improve testing efficiency, scalability, and delivery quality
Manage multiple concurrent testing workstreams in a fast-paced embedded client environment
Coordinate across data science, analytics, and operations teams to drive high-quality delivery and actionable insights
Provide leadership and mentorship to junior team members while helping drive rigor and operational excellence across the testing program