R&D Data Scientist: Mathematical Modeling and Optimization at Liftlab Analytics, Inc. | Austin, TX, US | Rezi

R&D Data Scientist: Mathematical Modeling and Optimization at Liftlab Analytics, Inc.

R&D Data Scientist: Mathematical Modeling and Optimization

Liftlab Analytics, Inc. · Austin, TX, US

1 months ago

R&D Data Scientist: Mathematical Modeling and Optimization

Liftlab Analytics, Inc. · Austin, TX, US

a month ago
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About the Role

Liftlab is seeking a talented individual to join our team and contribute to the development of our marketing measurement and optimization platform. This role involves creating new algorithm-based features, performing diagnostics, and collaborating with Data Science and Engineering teams to implement these features into our product.

Responsibilities

  • Develop new algorithm-based features of LiftLab’s marketing measurement and optimization platform
  • Perform diagnostics and root-cause analysis and provide fixes
  • Work with Data Science and Engineering to implement features into LiftLabs product and workflow

Requirements

  • SQL
  • Operating on big datasets in Python
  • Data visualization
  • Linear optimization concepts
  • Nonlinear continuous optimization
  • Linear algebra
  • Using parametrized systems of equations to represent real-world systems
  • Multivariate regression
  • Clear understanding of Maximum Likelihood estimation and computational methods to find MLE parameters
  • Bayesian concepts
  • Hypotheses testing
  • Engineering and detective mindset
  • 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

Skills

  • SQL
  • Python
  • Data visualization
  • Mathematical optimization
  • Mathematical modeling
  • Statistics
  • Multivariate regression
  • Maximum Likelihood estimation
  • Bayesian concepts
  • Hypotheses testing
  • Engineering mindset
  • Detective mindset
  • Problem solving
  • Communication
  • Collaboration

Location

  • US

Work Type

  • Fully-Remote

Education Level

  • Graduate degree in Applied Mathematics, Scientific Computing, Operations Research or related field
  • Bachelor degree with relevant experience

About the Company

  • Liftlab is the leading provider of science-driven software to optimize marketing spend and predict revenue for optimal spend levels.
  • 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.