Staff Data Scientist I, Direct Marketing

🕒 September 11

🇺🇸 United States – Remote

💵 $171.4k - $214.2k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Root Inc.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2015

🚘 Automotive

💼 Consulting

🛡️ Insurance

💰 $200M Post IPO debt on 2024-11

Automotive • Consulting • Insurance

Root Inc. is an auto insurance company that uses a mobile app and smartphone sensor telematics to measure driving behavior and price policies primarily based on how safely customers drive. The company offers a "test drive" period to gather driving data, provides in-app quotes, policy management, and claims filing, and sells roadside assistance and other coverages across many U. S. states. Root targets consumer drivers (B2C) seeking usage-based insurance and emphasizes savings for safer drivers.

📋 Description

• Lead development and advancement of ML models for bidding, targeting, and marketing optimization across paid search, lead aggregators, affiliates, direct mail, and emerging performance channels • Partner with Lifetime Value, Engineering, Marketing, and external vendors to translate business opportunities into scalable ML solutions • Set the technical direction of the Performance Marketing team by building and prioritizing a multi-quarter research roadmap spanning modeling, experimentation, and ML operations • Identify and frame high-leverage opportunities across performance marketing, evaluate technical approaches, and prioritize investments • Mentor data scientists and MLEs in research design, ML model development, technical decision-making, and production engineering practices • Design and build production-ready ML systems with maintainable code, reproducible research, automated testing, deployment, and operational reliability • Build monitoring frameworks for interconnected ML systems to detect model degradation, data issues, and channel performance changes • Lead zero-to-one prototypes and introduce new modeling or ML operations capabilities • Engage regularly with cross-functional departments and the executive team

🎯 Requirements

• Advanced degree in a quantitative discipline (Master’s or PhD preferred) • 8+ years of experience applying advanced quantitative techniques in industry • Demonstrated leadership in developing and deploying real-time models, emphasizing automation and innovation • Expert-level Python skills, including data querying, manipulation, and modeling • Extensive experience developing and applying advanced ML models, particularly ensemble methods • Skilled in version control (e.g. Git) with experience contributing to large-scale, collaborative projects • Hands-on experience with AWS tools (e.g., EC2, SageMaker, Redshift) or equivalent platforms for scalable compute and storage • Excellent business intelligence and visualization skills • Ability to communicate insights and technical concepts to technical and non-technical audiences • Ownership mentality and demonstrated ability to take initiative, drive work forward, and mentor others • Strong communication skills • Must be on camera for virtual interviews

🏖️ Benefits

• Competitive bonus • Equity offering • Work in whatever location works best across the US • Reasonable accommodation throughout the hiring process