Senior Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Data Scientist (AI): Applying quantitative analysis, statistical modeling, and machine learning to deliver actionable insights for product optimization with an accent on data-driven decision-making and cross-functional collaboration. Focus on building scalable, rigorous analytical solutions to identify new product opportunities and enhance user experience within the ecosystem.
Location: Must be based in the US and work onsite 4+ days per week in Bellevue, Los Angeles, New York, Palo Alto, San Francisco, or Seattle.
Company
is a technology company focused on visual messaging and camera-based products that enhance human connection and expression.
What you will do
- Apply statistical modeling and data mining to drive product decisions and strategy.
- Collaborate with product managers, engineers, and designers to optimize product execution.
- Conduct machine learning analyses to build scalable, rigorous data solutions.
- Identify and size up new opportunities within the long-term product roadmap.
- Communicate complex quantitative findings to cross-functional stakeholders.
- Utilize AI tools to accelerate analytical workflows and maintain high data quality standards.
Requirements
- Bachelor’s degree in a technical field (Statistics, Math, CS, Engineering) or equivalent experience.
- 5+ years of post-Bachelor’s quantitative analysis and data science experience.
- Proficiency in SQL and programming languages like Python or R.
- Experience with applied statistical techniques, including A/B testing and causal methods.
- Ability to work onsite 4+ days per week in a designated US office location.
- Strong product sense and ability to translate data into actionable business insights.
Nice to have
- Advanced degree in applied mathematics, statistics, or economics.
- Experience in a product-focused role at a social media or mobile technology company.
- Proven track record of building data-driven product solutions using machine learning.
Culture & Benefits
- Comprehensive medical coverage and emotional/mental health support programs.
- Paid parental leave and support for families.
- Compensation packages designed to share in the company's long-term success.
- Collaborative, in-person work environment focused on building culture and values.
- Commitment to diversity, equity, and inclusion as an equal opportunity employer.
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