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3 дня назад

Staff / Principal Data Scientist - Slack (AI)

172 500 - 313 700$
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 / Principal Data Scientist - Slack (AI): Building product data science capabilities, self-serve reporting, and Slack’s agentic data delivery platform with an accent on product strategy, metrics foundations, and evidence-based decision-making. Focus on prototyping canonical data models, evaluating product adoption drivers, and designing scalable data platforms for complex analytical and product questions.

Location: California - San Francisco, United States

Base salary: $172,500–$313,700 annually. In select cities within the San Francisco and New York City metropolitan areas: $207,800–$344,700 annually.

Company

hirify.global operates within Salesforce, an AI CRM company focused on helping organizations improve customer success and workplace collaboration.

What you will do

  • Partner with Product, Design, Engineering, and Go-To-Market stakeholders to identify opportunities, prioritize roadmaps, and shape product strategy.
  • Drive evidence-based decision-making and improve access to product data and insights.
  • Evaluate the key drivers of adoption for hirify.global product capabilities and identify opportunities to improve user experience and business value.
  • Build success-metric frameworks and self-serve reporting to monitor product health.
  • Prototype foundational data models and collaborate with Data Engineering to establish canonical sources of truth.
  • Design and implement hirify.global’s agentic data delivery platform while partnering with Product Researchers on complex analytical questions.

Requirements

  • 5+ years of experience in product data science within related technology industries.
  • Advanced SQL proficiency and programming experience in Python, R, or Scala.
  • Strong foundations in statistics, experimentation, causal inference, machine learning, and analytical problem-solving.
  • Experience with large-scale data technologies such as Spark, Presto, Hive, Hadoop, or similar distributed platforms.
  • Ability to communicate complex analytical findings to executive and cross-functional audiences.
  • A related degree is required; a quantitative BS degree is expected, while an MS or PhD is a strong plus.

Nice to have

  • Knowledge of workflow orchestration tools such as Apache Airflow.
  • Advanced degree in a quantitative field.

Culture & Benefits

  • Collaborative, diverse, and supportive work environment.
  • Time-off programs, medical, dental, vision, mental health support, and paid parental leave.
  • Life and disability insurance, 401(k), and an employee stock purchasing program.
  • Additional compensation may include bonuses, incentives, equity, and benefits.

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