Is the R&D Data Scientist: Mathematical Modeling and Optimization position at Liftlab Analytics, Inc. fully remote?

Yes, this R&D Data Scientist: Mathematical Modeling and Optimization position at Liftlab Analytics, Inc. is a remote position. The role is available for candidates in United States.

Is this a full-time or part-time R&D Data Scientist: Mathematical Modeling and Optimization role?

This is a full-time R&D Data Scientist: Mathematical Modeling and Optimization position at Liftlab Analytics, Inc..

How do I apply for the R&D Data Scientist: Mathematical Modeling and Optimization position at Liftlab Analytics, Inc.?

You can apply for this R&D Data Scientist: Mathematical Modeling and Optimization position by clicking the "Apply Now" button on this page, which will take you to Liftlab Analytics, Inc.'s application portal.

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

United States

<h2 style="line-height: 1.295; margin-top: 2pt; margin-bottom: 0pt;">(Fully-remote US position) About LiftLab</h2> 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. <h2 style="line-height: 1.295; margin-top: 2pt; margin-bottom: 0pt;">Job responsibilities</h2> <ul style="margin-top: 0px; margin-bottom: 0px;"> <li style="font-size: 11pt; font-family: 'Noto Sans Symbols', sans-serif;"> Develop new algorithm-based features of LiftLab’s marketing measurement and optimization platform </li> <li style="font-size: 11pt; font-family: 'Noto Sans Symbols', sans-serif;"> Performs diagnostics and root-cause analysis and provide fixes </li> <li style="font-size: 11pt; font-family: 'Noto Sans Symbols', sans-serif;"> Works with Data Science and Engineering to implement these features into LiftLabs product and workflow </li> </ul> <h2 style="line-height: 1.295; margin-top: 2pt; margin-bottom: 0pt;">Course work/experience:</h2> <ul style="margin-top: 0px; margin-bottom: 0px;"> <li style="font-size: 11pt; font-family: 'Noto Sans Symbols', sans-serif;"> Data manipulation <ul> <li style="list-style-type: disc; font-size: 11pt; font-family: 'Courier New', monospace;"> SQL </li> <li style="list-style-type: disc; font-size: 11pt; font-family: 'Courier New', monospace;"> Operating on big datasets in Python </li> <li style="list-style-type: disc; font-size: 11pt; font-family: 'Courier New', monospace;"> Data visualization </li> </ul> </li> <li style="font-size: 11pt; font-family: 'Noto Sans Symbols', sans-serif;"> Mathematical optimization <ul> <li style="list-style-type: disc; font-size: 11pt; font-family: 'Courier New', monospace;"> Linear optimization concepts </li> <li style="list-style-type: disc; font-size: 11pt; font-family: 'Courier New', monospace;"> Nonlinear continuous optimization </li> <li style="list-style-type: disc; font-size: 11pt; font-family: 'Courier New', monospace;"> Linear algebra </li> </ul> </li> <li style="font-size: 11pt; font-family: 'Noto Sans Symbols', sans-serif;"> Mathematical modeling <ul> <li style="list-style-type: disc; font-size: 11pt; font-family: 'Courier New', monospace;"> Using parametrized systems of equations to represent real-world systems </li> </ul> </li> <li style="font-size: 11pt; font-family: 'Noto Sans Symbols', sans-serif;"> Statistics <ul> <li style="list-style-type: disc; font-size: 11pt; font-family: 'Courier New', monospace;"> Multivariate regression </li> <li style="list-style-type: disc; font-size: 11pt; font-family: 'Courier New', monospace;"> Clear understanding of Maximum Likelihood estimation and computational methods to find MLE parameters </li> <li style="list-style-type: disc; font-size: 11pt; font-family: 'Courier New', monospace;"> Bayesian concepts </li> <li style="list-style-type: disc; font-size: 11pt; font-family: 'Courier New', monospace;"> Hypotheses testing </li> </ul> </li> </ul> <h2 style="line-height: 1.295; margin-top: 2pt; margin-bottom: 0pt;">Education requirements</h2> Graduate degree in Applied Mathematics, Scientific Computing, Operations Research or related field. We will consider holders of Bachelor degrees with relevant experience <h2 style="line-height: 1.295; margin-top: 2pt; margin-bottom: 0pt;">Skills/Aptitude</h2> <ul style="margin-top: 0px; margin-bottom: 0px;"> <li style="font-size: 11pt; font-family: Calibri, sans-serif;"> Engineering and detective mindset <ul> <li style="font-size: 11pt; font-family: Calibri, sans-serif;"> Both to diagnose data and existing algorithms and to develop new analytics functionality </li> </ul> </li> <li style="font-size: 11pt; font-family: Calibri, sans-serif;"> Pragmatic approach to real-world problems </li> <li style="font-size: 11pt; font-family: Calibri, sans-serif;"> Focus on problem solving over applying specific models </li> <li style="font-size: 11pt; font-family: Calibri, sans-serif;"> Willingness to make approximations and assumptions rather than find “the” optimal solution </li> <li style="font-size: 11pt; font-family: Calibri, sans-serif;"> Ability to combine multiple techniques and models to solve end-to end-problems </li> <li style="font-size: 11pt; font-family: Calibri, sans-serif;"> Communication and collaboration skill </li> <li style="font-size: 11pt; font-family: Calibri, sans-serif;"> Ability to convert non-technical requests into project specifications </li> </ul>

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Remote Opportunity

R&D Data Scientist: Mathematical Modeling and Optimization

Q: What are the main requirements for the R&D Data Scientist: Mathematical Modeling and Optimization role?

Key requirements include: 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, and more.

Join Liftlab Analytics, Inc. as a mid professional working remotely from United States. Explore the role, benefits, and apply in one place.

R&D Data Scientist: Mathematical Modeling and Optimization

Liftlab Analytics, Inc.

Full Time

$80,000 - $150,000*

6 months ago

(Fully-remote US position) About LiftLab 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.

United States

Data

Mid

Data Manipulation

SQL

Python

+5 more

Job Description

(Fully-remote US position)
About LiftLab

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

Course work/experience:

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

Education requirements

Graduate degree in Applied Mathematics, Scientific Computing, Operations Research or related field. We will consider holders of Bachelor degrees with relevant experience

Skills/Aptitude

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

Requirements

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
Operating on big datasets in Python
Data visualization
Mathematical optimization

Skills

Data Manipulation

SQL

Python

Data Visualization

Linear algebra

Mathematical Optimization

Linear Optimization

Nonlinear Continuous Optimization

About AI-Estimated Salary

The salary range shown was not provided by the employer. Our AI has estimated it based on the job title, required experience, location, and industry standards (confidence: 80%). This estimate should be used as a general guide only and may not reflect the actual compensation. Always confirm salary details directly with the employer during the application process.

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Join Liftlab Analytics, Inc. today

Salary Range (AI-Estimated)*

$80,000 - $150,000

80% confidence

Posted 6 months ago

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R&D Data Scientist: Mathematical Modeling and Optimization

R&D Data Scientist: Mathematical Modeling and Optimization

Job Description

(Fully-remote US position)About LiftLab

Job responsibilities

Course work/experience:

Education requirements

Skills/Aptitude

Requirements

Skills

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