обновлено 8 дней назад
Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (AI) (Quantitative Analysis and Product Data Science): Applying quantitative analysis, data mining, and statistical modeling to generate actionable insights for business and product decisions with an accent on product metrics, dashboards, and cross-functional collaboration. Focus on designing experiments, analyzing product performance, building data-driven solutions with SQL and Python or R, and using AI tools while maintaining statistical integrity.
Location: Onsite in Bellevue, Los Angeles, New York, Palo Alto, San Francisco, or Seattle; expected to work in an office 4+ days per week.
Company
is a technology company operating chat and other digital products focused on visual communication and human-centered computing.
What you will do
- Apply quantitative analysis, data mining, and statistical modeling to generate actionable business and product insights.
- Design, implement, and track core product metrics to evaluate product performance and identify trends and opportunities.
- Create visualizations, dashboards, and reports that communicate findings effectively.
- Collaborate with product managers, engineers, product marketers, designers, and other cross-functional partners.
- Use AI tools to develop scalable data solutions while maintaining accuracy and statistical integrity.
- Initiate and drive data science projects through completion with minimal guidance.
Requirements
- Bachelor’s degree in statistics, mathematics, economics, computer science, engineering, or a related technical field, or equivalent practical experience.
- 3+ years of post-Bachelor’s experience in quantitative analysis and data science, or a relevant master’s degree with 2+ years of professional experience, or a Ph.D. in a relevant technical field.
- Experience with SQL or similar big-data querying languages.
- Experience with Python or R and applied statistical techniques, including inferential methods, causal methods, A/B testing, or statistical modeling.
- Ability to collaborate across engineering, product, marketing, and design functions and drive projects independently.
- Understanding of chat and strong product sense.
Nice to have
- Advanced degree in applied mathematics, statistics, actuarial science, economics, or a related field.
- Experience in a product-focused role at a social media, online advertising, digital media, or mobile technology company.
- Experience using machine learning and statistical analysis to build data-driven product solutions or conduct methodological research.
Culture & Benefits
- Default-together work approach centered on in-person collaboration.
- Paid parental leave and comprehensive medical coverage.
- Emotional and mental health support programs.
- Compensation packages that include participation in ’s long-term success.
- Equal employment opportunities and accommodation support for candidates with disabilities or special needs.
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