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20 часов назад

Senior Data Scientist (AI)

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

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TL;DR

Senior Data Scientist (AI): Applying quantitative analysis, statistical modeling, and machine learning to deliver actionable insights for product optimization with an accent on data-driven decision-making and cross-functional collaboration. Focus on building scalable, rigorous analytical solutions to identify new product opportunities and enhance user experience within the hirify.global ecosystem.

Location: Must be based in the US and work onsite 4+ days per week in Bellevue, Los Angeles, New York, Palo Alto, San Francisco, or Seattle.

Company

hirify.global is a technology company focused on visual messaging and camera-based products that enhance human connection and expression.

What you will do

  • Apply statistical modeling and data mining to drive product decisions and strategy.
  • Collaborate with product managers, engineers, and designers to optimize product execution.
  • Conduct machine learning analyses to build scalable, rigorous data solutions.
  • Identify and size up new opportunities within the long-term product roadmap.
  • Communicate complex quantitative findings to cross-functional stakeholders.
  • Utilize AI tools to accelerate analytical workflows and maintain high data quality standards.

Requirements

  • Bachelor’s degree in a technical field (Statistics, Math, CS, Engineering) or equivalent experience.
  • 5+ years of post-Bachelor’s quantitative analysis and data science experience.
  • Proficiency in SQL and programming languages like Python or R.
  • Experience with applied statistical techniques, including A/B testing and causal methods.
  • Ability to work onsite 4+ days per week in a designated US office location.
  • Strong product sense and ability to translate data into actionable business insights.

Nice to have

  • Advanced degree in applied mathematics, statistics, or economics.
  • Experience in a product-focused role at a social media or mobile technology company.
  • Proven track record of building data-driven product solutions using machine learning.

Culture & Benefits

  • Comprehensive medical coverage and emotional/mental health support programs.
  • Paid parental leave and support for families.
  • Compensation packages designed to share in the company's long-term success.
  • Collaborative, in-person work environment focused on building culture and values.
  • Commitment to diversity, equity, and inclusion as an equal opportunity employer.

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