R&D Data Scientist: Mathematical Modeling and Optimization

Liftlab Analytics, Inc.; United States; On-site; USD 120,000 - 170,000; Full time

Job summary

Liftlab is seeking a highly mathematical data scientist to build algorithm-based features for its marketing measurement platform. You will work with Data Science and Engineering to deploy analytics into product, perform diagnostics, and manipulate large datasets with Python and SQL.

The ideal candidate holds a graduate degree in Applied Mathematics, Scientific Computing, OR, or a related field (Bachelor with experience considered).

Qualifications

• Graduate degree in Applied Mathematics, Scientific Computing, Operations Research or related field.
• Bachelor degree with relevant experience considered for similar roles.
• Engineering and detective mindset to diagnose data and algorithms.

Responsibilities

• Develop new algorithm-based features of LiftLab’s marketing measurement and optimization platform.
• Performs diagnostics and root-cause analysis and provide fixes.
• Collaborates with Data Science and Engineering to deploy features into LiftLab’s product and workflow.
• Data manipulation.
• SQL.
• Operating on big datasets in Python.
• Mathematical optimization.
• Nonlinear continuous optimization.
• Mathematical modeling.
• Using parametrized systems of equations to represent real-world systems.
• Statistics.
• Multivariate regression.
• MLE parameters estimation.

Skills

SQL

Python

Multivariate regression

MLE

Bayesian statistics

Hypotheses testing

Mathematical optimization

Mathematical modeling

Data manipulation

Education

Graduate degree in Applied Mathematics, Scientific Computing, Operations Research or related field

Bachelor degree with relevant experience

Job description

Liftlab 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 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

Data manipulation

SQL

Operating on big datasets in Python

Mathematical optimization

Nonlinear continuous optimization

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

Education requirements

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