Senior Manager, Commercial Analytics & Data Science

How You’ll Make An ImpactWe are looking for a candidate to join our Commercial Analytics and Data Science team. We are seeking a person that applies strong programming and statistical skills to experimentation and machine learning model development.This position plays a key role in optimizing media spend through building marketing mix models and designing and measuring incrementality tests. You will also support test design and evaluation of marketing initiatives across multiple channels spanning the customer lifecycle. A keen interest and ability to advance organizational capabilities through research and innovation initiatives across areas such as AI, causal inference, and experimentation is critical.Responsibilities What you’ll do: Build marketing mix models to estimate incremental ROI of marketing channels and optimize spend. Experience using tools such as Robyn and Meridian is preferred.Design and measure paid media incrementality tests using geo-experimentsSupport testing marketing initiatives to drive app engagement and increase subscriber retention across the customer lifecycle applying proper statistical rigor. Responsibilities include experimental design (sample sizing, timing), quality checking implementation, and test measurement and evaluation.Build machine learning models for predicting key outcomes used to inform marketing tactics across digital acquisition and user journey orchestrationBuild web applications using Python providing daily monitoring of test results and model results and insightsDeliver presentations describing experimental results and recommendations to business partnersWork closely with engineering to productionize and monitor model performanceContribute to research and innovation initiatives to further organizational capabilities across AI, causal inference, and statistical methodsRepresent Commercial Analytics and Data Science capabilities and deliver data-driven insights within cross-functional teams to help achieve business objectivesDevelop complex SQL queries combining data from a wide variety of sources in preparation of feature engineering and test analysisCreate custom Python libraries available for team use to automate key methodsRequirements What you’ll need:Bachelor’s or Master's degree in data science, computer science, statistics, engineering, or related quantitative field.5 or more years of experience as a Data ScientistBackground in paid media, ideally with experience at large media companiesExperience building Marketing Mix Modeling (MMM) modelsExperience with paid media incrementality measurement/testingStrong foundation in SQLUnderstanding or experience working within an enterprise data warehouse environmentExperience working in or partnering with media agenciesBackground in subscription or e-commerce businessesExperience building web apps using frameworks such as Streamlit, Shiny, or Dash is preferredCapability to build, tune and explain machine learning models for supervised and unsupervised learning. Methods include, but are not limited to, regression, clustering, and ensemble methods.Understanding of statistical concepts, lift analysis, and A/B testing fundamentalsAbility to produce data visualizations for explaining technical conceptsExperience with cloud technologiesFamiliarity with business intelligence dashboardsCompensation$64.52 to $93.55/hr. (W2)Dependent upon location*****Job req# 3056-1