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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Principal Data Scientist (Data Science/SQL/Python): Developing data-driven strategies, product insights, and visualizations to guide business and leadership decisions with an accent on quantitative analysis, experimentation, statistical modeling, and forecasting. Focus on shaping product roadmaps, measuring business impact, and communicating complex findings to senior executives and cross-functional partners.
Location: Office, home, or a combination of both; hiring is possible in any country where hirify.global has a legal entity.
Company
hirify.global develops collaboration software that helps teams organize and execute different types of work.
What you will do
Partner with business leads and cross-functional teams on product and business problems.
Apply quantitative analysis, experimentation, statistical methods, and data presentation to develop business strategies.
Develop and test hypotheses using analytical methodologies, frameworks, and technical approaches.
Identify opportunities to improve products and business performance, influencing roadmaps through insights and recommendations.
Forecast and monitor key product metrics to measure product success and understand trends.
Communicate analytical insights through clear storytelling and presentations to company leadership.
Requirements
8+ years of experience in data science or a related field.
Proficiency in SQL and another data manipulation language such as Python or R.
Expertise in data storytelling and at least one visualization tool, such as Tableau, R-Shiny, MicroStrategy, SAP BusinessObjects, or Looker.
Strong knowledge of statistical concepts including regression, A/B testing, clustering, and probability.
Experience leading projects or programs that produced measurable business impact through analytics.
Experience advising, presenting to, and partnering with senior executives.
Nice to have
10+ years of experience in data science or a related field.
Understanding of the SaaS business model and its key metrics.
Culture & Benefits
Choice of office-based, home-based, or combined work arrangements.
Health and wellbeing resources.
Paid volunteer days.
Potential eligibility for benefits, bonuses, commissions, and equity.
Support for accommodations or adjustments during the recruitment process.
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