Senior Manager, Measurement and Decision Science

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

📋 Description

• Define the strategy and roadmap while acting as the guiding leader for personalized customer experiences through advanced analytics.

• Lead a team leveraging big data and advanced analytical techniques to enhance customer engagement and lifetime value.

• Conduct customer-level 1:1 analysis and modeling to support targeting initiatives.

• Synthesize insights from personalization initiatives to refine data-driven targeting approaches.

• Collaborate with Marketing, Pricing, Digital, Merchandising, and Store leadership to pinpoint learning opportunities, design experiments, assess outcomes, and scale successful projects.

• Manage the activation of tests, including model executions, segmentations, and stakeholder timelines.

• Document analytical assets and tests while capturing valuable insights.

• Partner with Technology Machine Learning Engineering to implement modeling solutions in production environments.

• Work closely with Personalization, Customer Strategy, and Media teams to identify modeling use cases and enhance model utilization for business impact.

• Foster talent development, provide coaching and feedback, and cultivate partnerships across the organization.

• Oversee multiple strategic initiatives while utilizing communication, storytelling, and data visualization skills.

• Execute additional assigned tasks as necessary.

⛳️ Requirements

• Master’s Degree in quantitative disciplines such as Applied Mathematics, Data Science, or a related field.

• Over 7 years of relevant analytics experience.

• More than 4 years of experience in a leadership role or team oversight.

• Proficient in Python for modeling, SQL for data manipulation, and Git.

• Experience in developing and scaling predictive models and optimization algorithms (retail experience preferred).

• Strong knowledge of experimentation design and causal inference, including A/B testing, causal modeling, and test-and-learn frameworks.

• Advanced skills in data analysis and statistical methodologies.

• Ability to convert data into actionable insights.

• Capacity to maintain consistent and punctual attendance as established by the company.

• Willingness to work at least 8 hours a day, and occasionally longer when necessary to meet business requirements, 5 days a week.

• Compliance with dress code standards is required.

• Ability to learn and adhere to all company policies, procedures, standards, and guidelines.

• Capability to provide direction and effectively receive, comprehend, and respond proactively to guidance from leadership and other personnel.

• Ability to collaborate as part of a team and interact effectively with colleagues.

• Maintain composure and work efficiently in a fast-paced environment while managing multiple tasks within set deadlines.

• Successfully complete all company training programs.

• Proficiency in using a personal computer for tasks such as communication and report preparation.

• Ability to plan, prioritize, and monitor activities across various business units.

• Capability to complete or supervise the timely completion of assigned projects.

• Compliance with health and safety standards is essential.

🏝️ Benefits

• Competitive salary and bonus opportunities.

• Comprehensive health and wellness benefits.

• Opportunities for professional development and growth.

• Flexible work arrangements and a supportive work environment.