Senior Data Science Manager – Marketing Science

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

📋 Description

• Lead a team of data scientists, focusing on retention and acquisition marketing strategies.

• Supervise the creation and upkeep of production-level machine learning models in areas such as customer lifetime value, customer segmentation, multi-armed bandits, media mix modeling, and attribution.

• Manage projects centered on marketing data analysis, utilizing causal inference frameworks to evaluate the impact of initiatives and drive results.

• Incorporate LLMs into data and operations workflows to enhance throughput and scalability across various domains.

• Provide mentorship to junior team members, fostering analytical rigor within the PrizePicks Analytics Team.

• Effectively oversee projects, ensuring that deadlines and objectives are achieved while making a significant business impact.

• Collaborate with senior leadership to align marketing data science initiatives with the company’s overall and marketing objectives.

⛳️ Requirements

• Over 7 years of experience in data science and analytics.

• More than 5 years of experience in a role related to marketing, customer, or revenue data.

• At least 3 years of experience in managing or mentoring data scientists, analysts, or engineers.

• Bachelor's or master's degree in data science, econometrics, statistics, mathematics, computer science, or a related discipline; an advanced degree is preferred.

• Demonstrated experience in building and deploying production-grade machine learning models in an operational support role.

• Proven track record of utilizing causal inference frameworks (e.g., difference-in-differences, regression discontinuity, synthetic controls) to evaluate impact and drive business results.

• Excellent communication skills, with experience presenting to senior leadership.

• Ability to influence cross-functional partners in Marketing, Finance, and Product.

• Comfortable balancing hands-on tasks with team leadership responsibilities.

• Strong proficiency in statistics.

• Proficient in Python for statistical computing, model development, and data visualization.

• Advanced SQL skills.

🏝️ Benefits

• Company-subsidized medical, dental, and vision plans.

• 401(k) plan with company matching contributions.

• Annual bonus opportunities.

• Flexible PTO policy promoting a healthy work/life balance (2 weeks strongly encouraged!).

• Generous paid leave programs, including 16-week paid parental leave and disability benefits.

• Workplace flexibility and modern work schedules focused on achieving results rather than counting hours.

• Company-wide in-person events and team outings.

• Lifestyle enhancement program.

• Provision of company equipment (Windows and Mac options available).

• Annual performance reviews with opportunities for professional growth and career advancement.