6 часов назад
VP, Senior Data Scientist (Marketing Intelligence)
120 000 - 165 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
VP, Senior Data Scientist (Marketing Intelligence) (Python/SQL/Databricks): Building predictive and prescriptive customer models, experimentation frameworks, and production-ready analytical solutions to improve acquisition, engagement, retention, cross-sell, and marketing ROI with an accent on machine learning, causal inference, uplift modeling, and responsible AI. Focus on translating complex marketing challenges into measurable analytical outcomes, validating AI-assisted solutions, and communicating financial impact to executive stakeholders.
Location: San Diego, California, United States
Salary: $120,000–$165,000 per year, plus eligible annual discretionary cash and restricted stock unit bonus targets of 12.5% each.
Company
is a digital-first financial services company providing technology-driven money management tools for individuals, small businesses, and companies.
What you will do
- Partner with Marketing and business leaders to identify opportunities for predictive analytics, customer intelligence, and experimentation.
- Design and validate propensity, lead scoring, churn, customer lifetime value, segmentation, recommendation, and next-best-action models.
- Translate business questions into analytical frameworks, hypotheses, success metrics, and actionable recommendations.
- Design A/B tests, test/control methodologies, uplift models, and causal measurement frameworks.
- Collaborate with Marketing Analytics, Data Engineering, Enterprise Data, and AI/ML Engineering teams on scalable datasets, features, and production-ready solutions.
- Communicate insights, risks, recommendations, and financial impact to stakeholders and executive leadership while establishing responsible AI and model governance practices.
Requirements
- Bachelor’s degree in a quantitative field such as Data Science, Statistics, Economics, Mathematics, Computer Science, Engineering, or Operations Research; a Master’s degree or PhD is preferred.
- 5+ years of experience in data science, machine learning, predictive analytics, or advanced analytics.
- Deep expertise in statistical modeling, machine learning, predictive analytics, experimentation, causal inference, uplift modeling, and model evaluation.
- Proficiency in Python and SQL, including reviewing, validating, troubleshooting, and enhancing AI-generated analytical solutions.
- Experience with large customer, transactional, behavioral, CRM, digital, marketing, or third-party datasets and customer-focused modeling.
- Strong communication, presentation, business acumen, stakeholder management, model governance, and responsible AI skills.
Nice to have
- Experience with Databricks, Spark/PySpark, MLflow, Delta Lake, Unity Catalog, lakehouse architectures, or similar data platforms.
- Familiarity with AI-assisted tools such as Databricks Genie Code, Claude Code, Cursor, or comparable technologies.
- Experience in financial services, fintech, lending, insurance, or another regulated industry.
- Master’s degree or PhD in a quantitative discipline.
Culture & Benefits
- Medical, dental, vision, and life insurance.
- Paid sick leave, three weeks of vacation, and approximately 11 holidays per year.
- HSA or FSA accounts and other voluntary benefits.
- 401(k) retirement savings plan with employer match and a 529 savings plan.
- Employee mortgage loan program and free access to an account with self-directed trading.
- Employment is contingent on credit, criminal background, drug screening, and federally required employment eligibility checks.
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