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6 часов назад

Data Scientist (Customer Success)

117 000 - 158 500$
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

Текст:
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TL;DR
Data Scientist (Customer Success) (Business Tax Analytics): Measuring and optimizing expert-led customer experiences for the Business Tax product with an accent on experimentation, causal inference, predictive modeling, and KPI development. Focus on designing A/B tests, identifying customers who benefit from expert engagement, integrating AI-assisted workflows, and translating complex data into strategic recommendations.

Location: San Diego, California, United States

Base pay: $117,000–$158,500 annually; the position may also include a cash bonus, equity rewards, and benefits.

Company

hirify.global is a financial technology platform serving approximately 100 million customers through products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

  • Measure how expert-led customer initiatives affect filing behavior, product adoption, retention, deductions guidance uptake, and customer lifetime value.
  • Develop strategic recommendations on expert capacity and Business Tax investments using multiple data sources.
  • Define KPIs, standardized metrics, reports, and dashboards for the Business Tax expert experience.
  • Design, execute, and analyze A/B tests and other experiments involving engagement timing, channels, and content.
  • Build predictive models to identify customers most likely to benefit from expert engagement and uncover growth opportunities.
  • Collaborate with product, expert operations, marketing, customer support, data engineering, and AI teams to improve measurement and decision-making.

Requirements

  • 4+ years of experience in product, customer care, customer experience, or applied analytics, ideally involving expert-assisted or high-touch services.
  • Advanced SQL and big data experience with technologies such as Redshift, Spark, Hive, BigQuery, or Databricks.
  • Experience with BI and visualization tools such as Tableau, Qlik, or Dash.
  • Deep expertise in experimentation design and causal inference methods, including A/B/n testing, bandits, propensity scores, difference-in-differences, and synthetic controls.
  • Understanding of AI-native architectures and GenAI platforms, with strong business acumen, data storytelling, communication, and cross-functional collaboration skills.
  • Bachelor’s degree in a quantitative field such as Engineering, Data Science, Statistics, Mathematics, Computer Science, or Economics; a master’s degree is preferred.

Nice to have

  • Qlik certification.
  • Master’s degree in a related quantitative field.

Culture & Benefits

  • Fast-paced environment with flexibility to shift priorities.
  • Competitive compensation with pay-for-performance rewards.
  • Potential cash bonus, equity rewards, and benefits according to applicable plans.
  • Collaboration across technical, business, product, operations, marketing, support, engineering, and AI functions.

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