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Remote Sephora Engineering Jobs (NOW HIRING)

MatchPoint Solutions

Low Latency Network Engineer

$70 - $75/hr

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company ... Remote Duration: 12 months Rate: $$70-75/hr on W2 Overview: As a Low Latency Network Engineer, you ...

MatchPoint Solutions

Azure Security Engineer

Spring, TX · On-site +1

$60 - $70/hr

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company ... REMOTE - Spring, TX USA Employment Type: Contact Role Pay Range: $60/hr - $70/hr - Role Overview ...

MatchPoint Solutions

SQL DBA

Maple Grove, MN · On-site +1

$50 - $60/hr

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company ... SQL DBA Location: Remote - USA Employment Type: Part-time Pay Range: $50/hr - $60/hr - Key ...

Ometria

Senior Implementation Engineer

Remote (US) This role involves regular travel to client sites within the US, typically 25-40% of ... Working at the intersection of data engineering, marketing technology, and enterprise account ...

Match Point Solutions

Data Scientist

Pleasanton, CA · Remote

$75 - $80/hr

Remote Rate: $75-$80/hr on W2 Key points: Developing computer vision models that improve ... Working as part of cross functional teams, including data engineers, machine learning engineers ...

Match Point Solutions

PMA

Pleasanton, CA · Remote

$40 - $45/hr

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company ... PMA Location: Remote but Local preferred Duration: 6 months Rate: $40 - $45/hr on W2 Excel ...

Amika

Southeast - Retail Account Executive

$65K - $70K/yr

... remote (must be based in the Southeast + have the right to work in the US) schedule: Tuesday ... Advanced computer programing (Excel, PowerPoint, etc.) * Presentation skills from conception to ...

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Remote Sephora Engineering information

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How much do remote sephora engineering jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for remote sephora engineering in the United States is $48.92, according to ZipRecruiter salary data. Most workers in this role earn between $29.57 and $55.05 per hour, depending on experience, location, and employer.

What is the difference between Remote Sephora Engineering vs Remote Sephora Data Analyst?

AspectRemote Sephora EngineeringRemote Sephora Data Analyst
Required CredentialsBachelor's in Computer Science or related field, coding skillsBachelor's in Statistics, Data Science, or related field, analytical skills
Work EnvironmentCollaborative tech teams, project-based tasks, remote toolsData-focused projects, reporting, analysis, remote collaboration
Employer & Industry UsageTech-driven retail, Sephora's e-commerce and app developmentRetail analytics, customer insights, sales optimization at Sephora

Remote Sephora Engineering roles focus on developing and maintaining Sephora's digital platforms, requiring coding and technical skills. In contrast, Remote Sephora Data Analysts analyze data to inform business decisions, emphasizing analytical expertise. Both roles are remote, industry-specific, and integral to Sephora's digital success, but they differ in skill sets and daily tasks.

What cities are hiring for Remote Sephora Engineering jobs? Cities with the most Remote Sephora Engineering job openings:
What are the most commonly searched types of Sephora Engineering jobs? The most popular types of Sephora Engineering jobs are:
What states have the most Remote Sephora Engineering jobs? States with the most job openings for Remote Sephora Engineering jobs include:
What job categories do people searching Remote Sephora Engineering jobs look for? The top searched job categories for Remote Sephora Engineering jobs are:
Remote Sephora Engineering jobs near you
Infographic showing various Remote Sephora Engineering job openings in the United States as of May 2026, with employment types broken down into 5% Internship, 2% As Needed, 2% Full Time, 53% Part Time, 33% Contract, and 5% Nights. Highlights an 89% Physical, and 11% Hybrid job distribution, with an average salary of $101,752 per year, or $48.9 per hour.

R&D Data Scientist: Mathematical Modeling and Optimization

Liftlab Analytics, Inc.

Austin, TX • On-site, Remote

Full-time

Posted 10 days ago

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

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