Responsibilities

• Lead marketing science and analytics workstreams across current clients, new business, and internal initiatives, managing projects from data and measurement through analysis, insights, and recommendations.
• Partner directly with clients and account teams to define measurement objectives, translate business questions into testable hypotheses, and develop rigorous analytical approaches.
• Apply statistical and data science methods including media mix modeling (MMM), regression, causal inference, experimentation, geo-lift/DMA holdout testing, Bayesian methods, segmentation, forecasting, and optimization.
• Build, interpret, and communicate statistical models and translate complex analyses into compelling, actionable stories for clients and internal stakeholders.
• Use Python and SQL to analyze data and build reproducible, well-documented analytical workflows; experience with cloud data warehouses such as Snowflake or BigQuery is preferred.
• Develop dashboards, visualizations, and other data products using tools such as Tableau, Python visualization libraries, or Datorama.
• Manage analytical delivery and execution with external measurement and data partners.
• Serve as a trusted statistical and marketing science expert in client meetings, confidently explaining methodology, findings, limitations, and recommendations.
• Ensure analytical work is statistically rigorous, reproducible, and meets XM’s standards for quality.
• Lead and mentor Analysts and Data Scientists, providing guidance on prioritization, analytical approaches, coding practices, and professional development.

Requirements

• 3+ years of experience in marketing science, statistics, econometrics, data science, or another quantitative discipline; media or advertising experience is a plus.
• Strong foundation in statistics and hands-on experience applying analytical methods to real-world business problems.
• Proficiency in Python, with experience using tools such as pandas, statsmodels, scikit-learn, PyMC, Meridian, or similar.
• Strong SQL skills and experience working with large or complex datasets; cloud data warehouse experience preferred.
• Experience with marketing measurement, including MMM, incrementality, experimentation, causal inference, or related methodologies.
• Ability to independently manage analytical workstreams and client relationships while knowing when to bring in senior leadership.
• Strong communication skills and the ability to explain complex analytical concepts to both technical and non-technical audiences.
• Experience managing, mentoring, or developing junior team members.
• Curiosity, sound analytical judgment, strong attention to detail, and a commitment to continuous learning.
• Ability to thrive in a collaborative, evolving environment and move comfortably between client work, new business, and internal initiatives.

Benefits

• Flexibility to work in hybrid manner with in-office and work from home options (depending on role).
• Open/Flexible PTO/Annual leave with US & UK specific policies
• Sponsored healthcare options and agency-wide physical & mental health support
• 401k with company match (USA), and generous Pension (UK)
• Paid sabbatical at significant milestone anniversaries
• Generous paid parental leave policy
• Life milestone recognition & support
• The Pursuit of Happiness Fund devoted to helping Crossmedians find their happy (be it travel, enrichment class, fitness membership or professional development)
• Cell phone/tech reimbursement
• Student Loan payment plan (US)