Staff Marketing Data Scientist (Remote)

Ethos Life

United States

Remote

USD 127.000 - 223.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Zusammenfassung

Ethos Life is seeking a sharp analytics professional to join the Marketing team. You will go beyond dashboards to investigate offline and direct mail performance, interrogate attribution models, and surface answers before asked.

The role combines business analytics and data science: build models, stress test vendor claims, and help guide channel decisions with clear, actionable insights. If you thrive in a fast-growing tech environment and can communicate complex findings to non-technical

Qualifikationen

  • 5+ years of BI/analytics or data science experience.
  • 3+ years building BI reports in Hex or Mode.
  • 3+ years SQL experience.
  • Experience building statistical or predictive models.
  • Python for data analysis and modeling.
  • Strong communication and data storytelling.
  • Self-starter with proactive problem-solving.

Aufgaben

  • Investigate channel performance proactively and surface opportunities without tickets.
  • Delve into attribution and data layers to diagnose discrepancies and validate vendors.
  • Build models (response/lift, allocation, simple regressions) to inform offline decisions.
  • Support scaling direct mail testing with data pulls and dashboards for list optimization.
  • Develop dashboards and frameworks to monitor KPIs for stakeholders.
  • Communicate findings to channel managers to drive action.

Kenntnisse

BI / Analytics
SQL
Python
Statistical models
Data storytelling
Self-starter

Tools

Hex
Mode
dbt

Jobbeschreibung

Ethos Life is seeking a sharp analytics professional to join the Marketing team. You will go beyond dashboards to investigate offline and direct mail performance, interrogate attribution models, and surface answers before asked.

The role combines business analytics and data science: build models, stress test vendor claims, and help guide channel decisions with clear, actionable insights. If you thrive in a fast-growing tech environment and can communicate complex findings to non-technical

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