6 часов назад
Senior Data Scientist, Product Analytics (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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