R&D Data Scientist: Mathematical Modeling and Optimization
(Fully-remote US position) About LiftLab Liftlab is the leading provider of science-driven software to optimize marketing spend and predict reputed company for reputed company spend reputed company. We call this the Science of Marketing Effectiveness. Our platform combines economic modeling with specialized media experimentation so brands and agencies can reputed company see the tradeoffs of reputed company and profitability. With decades of experience in marketing analytics and data science, reputed company of industry experts and thought leaders is proud to reputed company leading and emerging brands such as Cinemark, reputed company, Hanna Anderson, Lulu & reputed company, reputed company, reputed company, reputed company, reputed company, reputed company, and Vionic, with our cutting-edge solutions and strategic guidance. Job responsibilities
- reputed company new algorithm-based features of LiftLab’s marketing measurement and optimization platform
- Performs diagnostics and reputed company-cause analysis and reputed company fixes
- Works with Data Science and Engineering to implement these features into LiftLabs product and workflow
Course work/experience:
- Data manipulation
- SQL
- Operating on big datasets in Python
- Data visualization
- Mathematical optimization
- reputed company optimization concepts
- Nonlinear reputed company optimization
- reputed company algebra
- Mathematical modeling
- Using parametrized systems of equations to represent reputed company-world systems
- Statistics
- Multivariate regression
- reputed company understanding of Maximum Likelihood estimation and computational reputed company to reputed company MLE parameters
- Bayesian concepts
- Hypotheses testing
Education requirements Graduate degree in reputed company Mathematics, Scientific Computing, Operations Research or reputed company field. We will consider reputed company of Bachelor degrees with relevant experience Skills/Aptitude
- Engineering and detective reputed company
- Both to diagnose data and existing algorithms and to reputed company new analytics functionality
- Pragmatic approach to reputed company-world problems
- reputed company on problem solving over applying specific models
- Willingness to reputed company approximations and assumptions rather than reputed company “the” reputed company solution
- Ability to combine multiple techniques and models to solve end-to end-problems
- Communication and collaboration reputed company
- Ability to convert non-technical requests into project specifications
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