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6 часов назад

Senior Data Scientist, Product Analytics (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Israel
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
Senior Data Scientist, Product Analytics (AI): Shaping digital heart-health products by analyzing real-world health and behavioral data with an accent on experimentation, causal inference, statistical modeling, and product metrics. Focus on designing A/B tests, evaluating ML models in production, identifying product opportunities, and translating complex findings into product strategy.

Location: Tel Aviv, Israel

Company

hirify.global is an AI-focused heart-health company building a platform that predicts and prevents cardiac events through digital health products and real-world health and behavioral data.

What you will do

  • Use data to shape product development, quantify opportunities, define goals, and prioritize product roadmaps.
  • Analyze large and complex datasets using statistical methods and data visualization to identify meaningful patterns and trends.
  • Define and monitor product and engagement metrics, including forecasting and measurement of product success.
  • Design, execute, and analyze A/B tests, including experiments involving ML-driven features and treatment/prevention relationships.
  • Monitor ML model performance in production and generate insights for model improvements and new data-driven solutions.
  • Partner with Product, Engineering, Data Science, Data Engineering, Clinical, Marketing, and Customer Success teams to influence product strategy.

Requirements

  • Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or another quantitative field.
  • 4+ years of hands-on experience in analytics or data science using quantitative approaches.
  • Experience leading data-driven projects from definition through execution, including metric definition, experiment design, and communication of actionable insights.
  • Strong SQL skills and proficiency in Python, including Pandas, NumPy, and SciPy.
  • Experience with data visualization, experimental design, statistical modeling, Bayesian methods, and propensity score matching.
  • Experience analyzing or testing ML models in production, using AI tools for analysis and problem solving, and communicating insights clearly.

Culture & Benefits

  • Positive, diverse, and supportive work environment.
  • Collaborative, creative, and courageous culture.
  • Opportunity to work on products focused on improving heart health and preventing cardiac events.

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