Marketing Science & Analytics Lead

CROSSMEDIA; Boston (MA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Flex hybrid work options

Open/Flexible PTO with US/UK policies

Healthcare options

401k with company match (USA)

Paid sabbatical

Parental leave

Tuition reimbursement

Job summary

Crossmedia is recruiting a Supervisor, Marketing Science & Analytics to join Redbox, Crossmedia’s marketing science and data science team. You will serve as a day-to-day analytical lead across client engagements, new business opportunities, and internal initiatives, partnering closely with Analysts, Engineers, Directors, and cross-functional agency teams.

This role blends hands-on statistical and data science expertise with client leadership, team management, and the ability to translate complex

Qualifications

• 3+ years in marketing science or data analytics in advertising.
• Strong foundation in statistics and econometrics.
• Experience with MMM, experimentation, or causal inference.
• Excellent communication of complex analyses to non-technical audiences.

Responsibilities

• Lead marketing science and analytics workstreams across clients, new business, and internal initiatives.
• Define measurement objectives with clients and translate questions into testable hypotheses.
• Develop rigorous analytical approaches including MMM, regression, and causal inference.
• Build and communicate statistical models and actionable insights for clients and internal teams.
• Mentor Analysts and Data Scientists, guiding best practices and development.

Skills

Python proficiency

SQL proficiency

Statistics/econometrics

Marketing measurement

Data science

Client communication

Mentoring teammates

Tools

Python

SQL

Pandas

statsmodels

scikit-learn

PyMC

Snowflake

BigQuery

Tableau

Job description

Crossmedia is recruiting a Supervisor, Marketing Science & Analytics to join Redbox, Crossmedia’s marketing science and data science team. You will serve as a day-to-day analytical lead across client engagements, new business opportunities, and internal initiatives, partnering closely with Analysts, Engineers, Directors, and cross-functional agency teams.

This role blends hands-on statistical and data science expertise with client leadership, team management, and the ability to translate complex