Role Overview
Blend360 is hiring a mid-level Data Science Manager. This is a full-time remote role, with the team based in Columbia, MD, United States (Remote). posted 3 weeks ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job description
Key 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
- 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
Preferred Qualifications
- 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
Key Competencies
- Statistical Rigor: Commitment to methodological excellence and avoiding bias in experimental design
- Stakeholder Management: Ability to navigate complex organizational dynamics and drive alignment
- Innovation & Automation: Openness to leveraging AI and new technologies to improve team efficiency
- Leadership: Demonstrated ability to influence without authority and develop team talent
- Adaptability: Thrives in fast-paced, ambiguous environments with changing priorities
The starting pay range for this role is $125,000 - $160,000. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.
About Blend360
Blend360
blend360.com
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Frequently Asked Questions
How do I apply for the Data Science Manager position at Blend360?
Use the Apply button above to submit your application directly to Blend360. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Is the Data Science Manager role at Blend360 remote?
Yes. This is a remote role. The team is based in Columbia, MD, United States (Remote), but the position itself does not require relocating to that office.
What does a Data Science Manager at Blend360 earn?
Blend360 has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Data Science Manager role at Blend360 posted?
This role was posted on June 17, 2026 (27 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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