Senior Data Scientist, Marketing
New
United StatesFull-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 5+ years of professional experience in Data Science, Analytics, or a related quantitative role
- Required Skills
- PythonSQLCloud ComputingGitMachine LearningA/B testing
Requirements
- 5+ years of professional experience in Data Science, Analytics, or a related quantitative role.
- Master’s degree in Statistics, Mathematics, Economics, Computer Science, or a related field.
- Strong proficiency in Python for data analysis, statistics, and modeling.
- Strong proficiency in SQL and experience working with production analytics datasets.
- Experience applying data science to marketing or growth problems, including funnel analysis, experimentation, attribution, or retention modeling.
- Solid understanding of statistical methods, experimentation design, and model evaluation.
- Experience working in cross-functional, agile environments with marketing, product, or business stakeholders.
- Familiarity with version control (Git) and collaborative development workflows.
- Experience working in cloud-based data environments (e.g., AWS, GCP, or Azure).
- Strong written and verbal communication skills.
Responsibilities
- Partner with Marketing teams to analyze and optimize the full customer funnel, including acquisition, conversion, retention, and churn.
- Build and maintain statistical models and analyses related to key marketing use cases such as attribution, LTV, CAC, churn prediction, cohort analysis, and conversion optimization.
- Design, analyze, and interpret experiments (A/B and multivariate tests) across marketing channels and on-site experiences, ensuring statistical rigor and clear recommendations.
- Translate ambiguous business questions into well-scoped analytical projects with clear success metrics and timelines.
- Collaborate with data engineering and analytics engineering partners to define data requirements and ensure reliable, well-modeled datasets for marketing analytics.
- Clearly communicate findings and recommendations to non-technical stakeholders through presentations, dashboards, and written documentation.
- Contribute to shared analytics and modeling best practices within the data science team, including code quality, validation, and documentation.
- Support junior team members through informal mentorship, code review, and knowledge sharing where appropriate.
View Full Description & ApplyYou'll be redirected to the employer's site
