Staff Data Scientist I, Direct Marketing

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee the development and enhancement of machine learning models for bidding, targeting, and marketing optimization across various channels, including paid search, lead aggregators, affiliates, direct mail, and new performance avenues.

• Collaborate with the Lifetime Value team, Engineering, Marketing, and external partners to convert business opportunities into scalable machine learning solutions.

• Establish the technical direction for the Performance Marketing team by creating and prioritizing a multi-quarter research roadmap that encompasses modeling, experimentation, and machine learning operations.

• Identify and articulate high-impact opportunities within performance marketing, assess technical strategies, and prioritize investment areas.

• Mentor data scientists and machine learning engineers in research design, machine learning model development, technical decision-making, and best practices for production engineering.

• Design and construct production-ready machine learning systems featuring maintainable code, reproducible research, automated testing, deployment, and operational reliability.

• Develop monitoring frameworks for interconnected machine learning systems to identify model degradation, data concerns, and shifts in channel performance.

• Lead the creation of zero-to-one prototypes and introduce innovative modeling or machine learning operations capabilities.

• Maintain regular engagement with cross-functional teams and the executive leadership.

⛳️ Requirements

• An advanced degree in a quantitative field (Master’s or PhD preferred).

• At least 8 years of experience utilizing advanced quantitative techniques in an industry setting.

• Proven leadership in the development and implementation of real-time models, with a focus on automation and innovation.

• Proficient in Python, including skills in data querying, manipulation, and modeling.

• Significant experience in developing and deploying advanced machine learning models, especially ensemble methods.

• Competent in version control (e.g., Git) and experienced in contributing to large-scale, collaborative projects.

• Practical experience with AWS tools (e.g., EC2, SageMaker, Redshift) or similar platforms for scalable computing and storage.

• Strong skills in business intelligence and data visualization.

• Capable of conveying insights and technical concepts to both technical and non-technical audiences.

• A sense of ownership and a proven ability to take initiative, drive projects forward, and mentor others.

• Excellent communication skills.

• Must be on camera for virtual interviews.

🏝️ Benefits

• Competitive bonus structure.

• Equity offering.

• Flexibility to work from any location across the US.

• Reasonable accommodation provided throughout the hiring process.