Data Scientist

• Support standard marketing analytics engagements including MMM, test readouts, and performance deep dives
• Prepare and QA modeling datasets from multiple sources (ad platforms, adserver logs, web analytics, CRM/sales, research vendors)
• Contribute to model development using regression/time-series approaches; help interpret results and document assumptions and limitations
• Translate findings into clear deliverables: slides, written summaries, and stakeholder-ready visuals
• Help improve Involved’s core offering—linking media to outcomes (leads/sales)—by analyzing drivers such as touchpoints, time-to-convert, device, geo, creative, placement, channel mix, and competitive share-of-voice/spend
• Apply the best feasible methodology given the data (e.g., MMM, test design, causal methods, attribution approaches), with guidance from senior team members
• Build and maintain reusable analytics components: data pipelines, QA checks, feature generation, reporting automation, and internal tools (notebooks/apps/APIs)
• Write clean, well-documented code; use version control and lightweight testing to support reliability and reuse
• Collaborate with internal stakeholders (media strategy, client teams, product/engineering) to define requirements and ship improvements
• Explore practical applications of AI/LLM tooling to reduce manual work, speed insights, and improve consistency—always with attention to data privacy and quality.

AMS

Data Science Analyst