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5 часов назад

Staff Data Scientist

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

Staff Data Scientist (Data Science/ML): Developing complex data analysis, predictive models, and experimentation frameworks to drive business growth and decision making with an accent on handling large-scale data and advanced statistical modeling. Focus on designing experiments, interpreting data insights, and collaborating cross-functionally with product managers and marketers.

Location: Mountain View, California; San Francisco, California

Company

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

What you will do

  • Develop complex data analyses, methodologies, and predictive models to generate actionable business insights.
  • Lead experimentation including hypothesis formulation, test development, and insight visualization.
  • Interpret and visualize raw data to make it accessible for business users.
  • Communicate data-driven insights from complex and large data sources to stakeholders.
  • Translate business problems into statistical analytics and business intelligence.
  • Provide KPI updates and guidance to business stakeholders for decision making.

Requirements

  • Location: Based in Mountain View or San Francisco, California
  • 6+ years of experience in data science or analytics in product, marketing, or web domains.
  • Proficiency in SQL, Tableau, Excel, and programming languages such as R or Python.
  • Experience with ETL/data pipelines, data warehousing, and statistical knowledge for A/B testing.
  • Strong problem-solving skills and experience with machine learning modeling and business application.
  • Ability to communicate insights effectively and motivate action based on data.

Culture & Benefits

  • Competitive compensation package with pay-for-performance rewards.
  • Eligibility for cash bonus, equity rewards, and benefits.
  • Commitment to fair pay practices across ethnicity and gender.

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