Remote Position
[Remote] R&D Data Scientist: Mathematical Modeling and Optimization
🌍 Remote · United States
💼 Full-time
Note: The job is a remote job and is open to candidates in USA. LiftLab develops marketing measurement and optimization software. The R&D Data Scientist will develop algorithm-based features for its platform, diagnose and fix issues, and work with Data Science and Engineering 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
- 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
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