Note: The job is a remote job and is open to candidates in USA. LiftLab provides science-driven software for optimizing marketing spend and predicting revenue. The R&D Data Scientist will develop algorithm-based features for its marketing measurement and optimization platform, diagnose root causes, and collaborate with data science and engineering teams to implement features in the product and workflow.
Responsibilities
- Develop new algorithm-based features of LiftLab’s marketing measurement and optimization platform
- Performs diagnostics and root-cause analysis and provide fixes
- Works with Data Science and Engineering to implement these features into LiftLabs product and workflow
Skills
- * Data manipulation
- + SQL
- + Operating on big datasets in Python
- + Data visualization
- * Mathematical optimization
- + Linear optimization concepts
- + Nonlinear continuous optimization
- + Linear algebra
- * Mathematical modeling
- + Using parametrized systems of equations to represent real-world systems
- * Statistics
- + Multivariate regression
- + Clear understanding of Maximum Likelihood estimation and computational methods to find MLE parameters
- + Bayesian concepts
- + Hypotheses testing
- Graduate degree in Applied Mathematics, Scientific Computing, Operations Research or related field
- We will consider holders of Bachelor degrees with relevant experience
- * Engineering and detective mindset
- + Both to diagnose data and existing algorithms and to develop new analytics functionality
- * Pragmatic approach to real-world problems
- * Focus on problem solving over applying specific models
- * Willingness to make approximations and assumptions rather than find “the” optimal solution
- * Ability to combine multiple techniques and models to solve end-to end-problems
- * Communication and collaboration skill
- * Ability to convert non-technical requests into project specifications
Benefits
- Fully-remote US position
Company Overview