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Media Mix Modeler (Part-Time, Remote)

Media Mix Modeler (Part-Time, Remote)

Job Description

Slingwave is seeking a part-time statistical modeler who is currently pursuing an advanced degree in Statistics, Mathematics, or a related field. The modeler will utilize a variety of tools, including Meridian, Robyn, and Slingwave’s own R package to build media mix models (MMM) on client data.

Key Responsibilities

  • Create MMM models to predict customer revenue and/or conversions using media spend and other exogenous variables as predictors

  • Assess relative strengths and weaknesses of MMM approaches: Meridian, Robyn, Slingwave, Orbit KTR, etc.

  • Use models to recommend optimal budgets across marketing channels for driving business results

  • Develop visualizations and/or user interfaces to illustrate media impact/contribution, forecasting, and optimization

Required Skills

This role provides visibility into real-world applications of Bayesian time series modeling, and helps drive material changes to our clients’ marketing strategies that help to maximize the effectiveness of their marketing budgets. Candidates can be based in any U.S. location, so long as the candidate is available to work with their team and Customer base across time zones.

Position Details

This role is open to any U.S. location, requiring strong remote leadership to coordinate effectively across time zones. 

Company Overview

Slingwave empowers top eCommerce, D2C and CPG brands with best‑in‑class AI analytics‑driven media measurement and optimization. Our suite—MMM+ (Media Mix Modeling), VELOCITY AMA (Agile Marketing Attribution), SAGE Experimentation and Slingshot AI—combines advanced analytics, rigorous experimentation and machine‑learning to deliver AI‑powered optimization of media spend across Google/YouTube, Meta, Amazon, emerging digital channels, and beyond. Backed by seasoned industry operators, we’re scaling rapidly and need a driven Sales Account Executive to fuel our growth.

Operating with hybrid teams in New York, Minneapolis, Los Angeles, and the SF Bay Area, and remote teams across the U.S. and globally, Slingwave fosters a collaborative, agile culture that delivers measurable results for its clients.

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