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Remote Sephora Engineering Jobs in Texas (NOW HIRING)

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 ...

Engineering is by far our largest department, and we've built our proprietary engine to be the best ... It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and ...

Remote Sephora Engineering information

Does Sephora hire engineers?

Sephora hires engineers for roles in e-commerce, software development, and technology infrastructure. These positions often require skills in programming, web development, and familiarity with tools like Java, Python, or cloud platforms. Engineering roles at Sephora may be remote or on-site, depending on the position and team needs.

Does Sephora have any remote jobs?

Sephora offers remote job opportunities, including roles in engineering, customer service, and corporate functions. These positions often require strong communication skills and familiarity with digital tools, and they may be available on a full-time or part-time basis depending on the role. Candidates should review Sephora's careers page for current remote openings and specific job requirements.

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 is the highest paying job at Sephora?

At Sephora, the highest paying roles are typically executive positions such as Chief Executive Officer (CEO) or Chief Financial Officer (CFO), which can earn six-figure salaries. Senior management and specialized roles in engineering, data science, or corporate leadership also tend to have higher compensation packages, often including bonuses and stock options.

How much does a lead engineer make at Sephora?

A lead engineer at Sephora typically earns between $100,000 and $140,000 annually, depending on experience, location, and specific responsibilities. Compensation may also include bonuses and benefits, with some roles requiring proficiency in engineering tools and leadership skills.
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R&D Data Scientist: Mathematical Modeling and Optimization

Liftlab Analytics, Inc.

Austin, TX • Remote

Full-time

Posted 8 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