R&D Data Scientist – Mathematical Modeling, Optimization

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🔥 1 hour ago

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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LiftLab

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

☁️ SaaS

📣 Marketing

🏢 Enterprise

💰 Seed on 2019-07

SaaS • Marketing • Enterprise

LiftLab is a SaaS marketing-measurement platform that provides full-funnel Agile Marketing Mix Modeling (MMM) and auditable incrementality testing to help marketers and finance teams optimize media spend. The platform unifies spend and business-context data, isolates ad-auction noise with a Two-Stage AMM, and applies live signals (PlatformSense) for real-time budget optimization and scenario planning. LiftLab is aimed at enterprise and growth leaders (CMOs, performance marketing leads, CFOs, analytics heads) and emphasizes auditable, finance-ready outputs, closed-loop experimentation (Trust Engine), and enterprise-grade security (SOC 2, ISO 27001).

📋 Description

• 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

🎯 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