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6 часов назад

VP, Senior Data Scientist (Marketing Intelligence)

120 000 - 165 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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 hirify.global account with self-directed trading.
  • Employment is contingent on credit, criminal background, drug screening, and federally required employment eligibility checks.

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