R&D Data Scientist: Mathematical Modeling and Optimization

(Fully-remote US position)About LiftLabLiftlab is the leading provider of science-driven software to optimize marketing spend and predict revenue for optimal spend levels. We call this the Science of Marketing Effectiveness. Our platform combines economic modeling with specialized media experimentation so brands and agencies can clearly see the tradeoffs of growth and profitability. With decades of experience in marketing analytics and data science, our team of industry experts and thought leaders is proud to enable leading and emerging brands such as Cinemark, Express, Hanna Anderson, Lulu & Georgia, Pandora, Sephora, Skims, Tory Burch, Thrive, and Vionic, with our cutting-edge solutions and strategic guidance.Job responsibilitiesDevelop new algorithm-based features of LiftLab's marketing measurement and optimization platformPerforms diagnostics and root-cause analysis and provide fixesWorks with Data Science and Engineering to implement these features into LiftLabs product and workflowCourse work/experience:Data manipulationSQLOperating on big datasets in PythonData visualizationMathematical optimizationLinear optimization conceptsNonlinear continuous optimizationLinear algebraMathematical modelingUsing parametrized systems of equations to represent real-world systemsStatisticsMultivariate regressionClear understanding of Maximum Likelihood estimation and computational methods to find MLE parametersBayesian conceptsHypotheses testingEducation requirementsGraduate degree in Applied Mathematics, Scientific Computing, Operations Research or related field. We will consider holders of Bachelor degrees with relevant experienceSkills/AptitudeEngineering and detective mindsetBoth to diagnose data and existing algorithms and to develop new analytics functionalityPragmatic approach to real-world problemsFocus on problem solving over applying specific modelsWillingness to make approximations and assumptions rather than find "the" optimal solutionAbility to combine multiple techniques and models to solve end-to end-problemsCommunication and collaboration skillAbility to convert non-technical requests into project specifications