Senior Data Science Manager - Marketing Science
New
While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates.Full-TimeManager
Salary$180,000 to $210,000
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Job Details
- Experience
- 7+ years of experience in data science & analytics, 5+ years in marketing/customer/revenue data roles, 3+ years managing/mentoring.
- Required Skills
- PythonSQLMachine LearningData scienceMentoring
Requirements
- 7+ years of experience in data science & analytics
- 5+ years of experience in a marketing, customer, or revenue data-related role
- 3+ years of experience managing or mentoring data scientists, analysts, or engineers
- Bachelor's or master's degree in data science, econometrics, statistics, math, computer science, or a related field
- Proven experience in building and implementing production-grade machine learning models in an operations support capacity
- Proven experience leveraging causal inference frameworks (e.g. difference-in-differences, regression discontinuity, synthetic controls)
- Exceptional communication skills, with experience presenting to senior leadership
- Ability to influence cross-functional partners
- Strong statistical proficiency
- Advanced Python for statistical computing, model development, and data visualization
- Advanced SQL
Responsibilities
- Lead a team of data scientists, covering topics across retention and acquisition marketing
- Oversee the development & maintenance of production-grade machine learning models, across topics such as customer lifetime value, customer segmentation, multi-armed bandits, media mix modeling, and attribution
- Manage projects centered around marketing data analysis, including leveraging causal inference frameworks, to assess impact from efforts and drive outcomes
- Integrate LLMs into data & operations workflows, to increase throughput & scale across domains
- Mentor junior team members, enhancing analytical rigor throughout the PrizePicks Analytics Team
- Effectively manage projects, ensuring deadlines and objectives are met, and business impact is made
- Collaborate with senior leadership, to align marketing data science effort with overall company & marketing goals
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