1 день назад
Data Scientist (AI/ML)
240 000 - 260 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (AI/ML): Building measurement systems, evaluation frameworks, and enriched datasets for production ML products with an accent on model quality, experimentation, and consumer product metrics. Focus on defining offline and online evaluation standards, detecting performance breakdowns and data drift, and translating ambiguous AI/ML opportunities into measurable initiatives.
Location: San Francisco, United States; hybrid model with three days per week onsite
Salary: $240,000–$260,000 annual base compensation, plus equity
Company
builds software for active people, using community and activity data to help athletes track progress, stay motivated, and connect with others.
What you will do
- Define evaluation frameworks, offline and online metrics, baselines, and quality standards for internal models and ML products.
- Build measurement systems for cross-domain ML products and increase visibility into performance across the business.
- Own experimentation and production-model monitoring, including metric monitoring and drift detection for enriched datasets.
- Identify and size AI/ML product opportunities and turn ambiguous problem spaces into scoped initiatives with clear success criteria.
- Act as the data science subject-matter expert for machine learning engineers and cross-functional partners.
Requirements
- 5+ years of experience in data science or a related quantitative field.
- Hands-on ownership of model evaluation and measurement for production systems.
- Experience designing evaluation frameworks for ambiguous ML problems with imperfect ground truth.
- Strong SQL skills and the ability to write production-quality Python for statistical data processing.
- Experience with metrics and measurement for consumer software products.
- Ability to translate business needs into technical plans and communicate technical concepts to cross-functional partners.
Culture & Benefits
- Flexible hybrid work model centered on the San Francisco office.
- Equity in addition to base compensation.
- Inclusive workplace focused on employee growth and development.
- Work supporting a global community of athletes across more than 185 countries.
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