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2 дня назад

Senior Data Scientist (Marketing Measurement)

190 000 - 225 000$
Формат работы
remote (только USA)
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
Senior Data Scientist (Marketing Measurement): Building the measurement, experimentation, attribution, and machine-learning foundation for marketing campaigns with an accent on causal inference, holdout testing, and production marketing models. Focus on designing rigorous campaign tests, diagnosing metric changes, and deploying LTV, segmentation, and personalization models through shared data models and a semantic layer.

Location: Remote within the United States; occasional travel may be required for team offsites, client events, or company gatherings.

Salary: $190,000–$225,000 annually, depending on geography and experience, plus equity and an annual bonus.

Company

hirify.global is a digital health company providing a value-based specialty care platform that connects self-insured employers and plan members with vetted specialty care providers.

What you will do

  • Set design standards and decision rules for campaign tests, design powered holdouts, apply causal inference when randomization is not feasible, and build multi-touch attribution.
  • Diagnose metric changes and create monitoring that detects issues early, including checking campaign sends against eligible populations.
  • Design, train, deploy, and monitor LTV, drop-off, segmentation, propensity, and personalization models for campaign targeting, content, and timing across email and web.
  • Build reusable measurement models in the shared data mart and semantic layer instead of one-off analyses.
  • Translate marketing questions into testable questions, communicate what data can support, and challenge unsupported conclusions.

Requirements

  • Experience building the technical foundation for marketing or growth measurement and experimentation from 0 to 1 and influencing campaign or spend decisions.
  • Experience designing holdouts and lift tests, estimating incrementality from observational data, and building multi-touch attribution while understanding its limitations.
  • Experience building and deploying marketing models such as LTV, propensity, churn, or segmentation with scikit-learn, XGBoost, or LightGBM, and monitoring them in production with tools such as MLflow or Airflow.
  • Fluency in CAC, LTV, ROI, conversion funnels, and campaign metrics, including their connection to business outcomes.
  • Production-quality Python and SQL skills, including writing repeatable, tested work and contributing to shared data models and a semantic layer.
  • Ability to investigate the root causes of metric changes and build monitoring to prevent recurrence.
  • Strong partnership and communication skills with non-technical stakeholders, including constructive pushback when requests do not address the underlying problem.
  • Ability to distinguish correlation from causation, challenge results, and validate AI-assisted work.
  • Understanding of minimum-necessary access to sensitive healthcare data.

Nice to have

  • Forecasting experience.
  • Experience with personalization and recommendation systems.
  • Experience with eligibility-based or benefits-style funnels.

Culture & Benefits

  • Remote-first work with employees across the United States, flexible working hours, and opportunities for virtual and in-person connection.
  • Flexible PTO, 15+ paid holidays, Summer Fridays, and an annual December holiday shutdown.
  • Paid parental leave, health, vision, and dental insurance, an Employee Assistance Program, and a 401(k) retirement plan.
  • Stock option plan and performance bonus for eligible employees.
  • Chicago and San Francisco offices are available as an option.
  • Collaborative, autonomous, feedback-oriented environment with employee-led DEIJ and ERG initiatives.

Hiring process

  • hirify.global communicates with candidates only through an @carrumhealth.com email address and does not conduct interviews via text or messaging apps.
  • The company does not request financial information or fees during the hiring process.

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