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3 дня назад

Staff Data Scientist (Product Intelligence)

164 000 - 205 000$
Формат работы
remote (только USA)
Тип работы
fulltime
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
Staff Data Scientist (Product Intelligence): Building Boulevard’s product data foundation, self-serve analytics, experimentation practice, and customer behavior models with an accent on product instrumentation, causal analysis, and scalable data infrastructure. Focus on designing defensible experiments, modeling retention and adoption, productionizing machine learning outputs, and translating product data into strategic decisions.

Location: Remote - USA

Salary: $164,000–$205,000 per year for candidates in NYC, the SF Bay Area, and Seattle; $171,400–$201,800 per year for other U.S. locations. Variable compensation may also apply.

Company

hirify.global provides a client experience platform for salons, spas, medspas, barbershops, and wellness businesses, supporting scheduling, payments, marketing, and client relationships for more than 5,000 businesses.

What you will do

  • Build the product data foundation, including event schemas, data models, tracking plans, and analysis-ready assets in partnership with Product Development and data engineering.
  • Develop data-driven recommendations, dashboards, visualizations, and self-serve analytics that connect product usage to OKRs and business outcomes.
  • Lead funnel, retention, cohort, feature adoption, segmentation, and customer behavior analyses to influence product strategy and roadmap decisions.
  • Own experimentation from hypothesis and metric design through analysis, using A/B tests and quasi-experimental methods when clean experiments are not possible.
  • Build, validate, and productionize models for adoption, churn risk, retention, activation, time-to-value, and customer behavior.
  • Create scalable analytical processes, documentation, workflows, and model monitoring practices while communicating insights to product leaders and executives.

Requirements

  • 8+ years of experience in data science, product analytics, or data engineering in B2B SaaS or a high-growth technology environment.
  • Strong proficiency with SQL, Python, Jupyter, Snowflake, DBT, Sigma, AWS, data modeling, and production-grade data pipelines.
  • Experience designing product instrumentation strategies, event schemas, tracking plans, dashboards, and self-serve analytics with tools such as Sigma, Looker, or Tableau.
  • Deep statistical and machine learning expertise, including regression, classification, propensity and churn modeling, clustering, segmentation, survival analysis, and time-to-value modeling.
  • End-to-end experimentation experience, including hypothesis design, primary and guardrail metrics, randomization, power, duration, analysis, and causal inference using tools such as Statsig or Optimizely.
  • Clear communication, strong ownership, cross-functional collaboration, and the ability to operate effectively in ambiguous, fast-paced environments.

Nice to have

  • Experience evaluating or implementing product analytics platforms such as Amplitude, Mixpanel, or similar tools.

Culture & Benefits

  • Fully remote work with a $200 home office setup allowance and $50 monthly work-from-home reimbursement.
  • Medical coverage with up to 100% employee premium coverage and 75% dependent coverage.
  • Covered dental, vision, life, and disability insurance, plus an annual $1,200 HSA contribution for eligible plans.
  • Equity participation for full-time employees and performance bonus eligibility.
  • 12 weeks of fully paid U.S. parental leave, flexible paid time off, and 10 U.S. company holidays.
  • Additional well-being benefits, including quarterly hirify.global Bucks, One Medical membership, and an Employee Assistance Program.

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