Senior Data Scientist

Responsibilities

• Work on data science projects across marketing and customer domains, including personalization, lifecycle optimization, retention, and engagement
• Build, validate, and deploy machine learning and statistical models for use cases such as propensity modeling, segmentation, and LTV
• Partner with cross‑functional stakeholders (Marketing, Product, CRM, Engineering) to understand business problems and translate them into data science solutions
• Contribute to the end‑to‑end model development lifecycle, including data exploration, feature engineering, modeling, evaluation, and deployment
• Analyze large and complex datasets to identify trends, opportunities, and areas for improvement in customer experience and marketing performance
• Apply appropriate statistical methods and experimentation techniques to evaluate model performance and business impact
• Collaborate with engineering teams to ensure models are production‑ready and integrated into downstream systems
• Communicate findings and recommendations clearly to technical and non‑technical stakeholders
• Contribute to team‑level best practices in modeling, code quality, and documentation
• Support and mentor junior team members through collaboration and knowledge sharing

• BS or higher in a technical or quantitative field (Computer Science, Operations Research, Statistics, Economics, etc.)
• 5+ years of hands‑on work in marketing data science or related areas
• Experience building and deploying machine learning models in production environments
• Strong foundation in statistics and machine learning
• Proficiency in Python and SQL, with experience working on large datasets
• Experience working with customer or marketing‑related data (e.g., personalization, segmentation, LTV, or experimentation)
• Ability to work on moderately complex problems with some guidance
• Strong communication and collaboration skills