6 дней назад
Product Data Scientist (Customer-facing)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Data Scientist (Customer-facing) (Python/SQL): Building custom data reports and products for enterprise customers by translating business questions into quantitative analysis, research, and scalable delivery with an accent on customer collaboration, data mining, and statistical problem-solving. Focus on designing end-to-end solutions, developing tools from raw datasets and algorithms, and partnering with Engineering and Advisory Services to deliver actionable insights.
Location: Tel Aviv-Yafo, Israel
Company
provides digital intelligence data and solutions that help businesses understand online activity and make strategic decisions.
What you will do
- Build custom reports end to end, from client discovery and requirements gathering through coding, implementation, and ongoing delivery.
- Apply quantitative analysis, statistical methods, and data mining to transform raw data into strategic insights.
- Research and develop tools that answer client business questions using raw datasets and algorithms.
- Partner with Engineering to establish infrastructure for scalable solutions.
- Collaborate with Advisory Services consultants to answer strategic questions and deliver custom data products.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience.
- 3+ years of experience as a Product Data Scientist, Solutions Engineer, or in a similar analytical role.
- Strong proficiency in SQL and Python.
- Experience solving complex analytical problems using quantitative and statistical approaches.
- Experience working with customers and stakeholders across Engineering, Sales, and customer-facing teams to scope problems, align requirements, and deliver data-driven solutions.
- Excellent English communication skills, including presenting insights to technical and non-technical audiences.
Nice to have
- Master’s degree in a quantitative field.
Culture & Benefits
- Work in a fast-paced Data Labs environment with complex and constantly evolving analytical challenges.
- Collaborate with global colleagues and enterprise customers.
- Own analytical initiatives independently from feasibility evaluation through ongoing delivery.
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