Director of Data Science
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Director of Data Science (Social Listening): Enhance insights from social listening database and integrate new data sources using advanced ML and AI methods with an accent on developing metrics, topic classification, and infrastructure optimization. Focus on conducting deep-dive analyses, network analysis, and guiding AI adoption for actionable insights.
Location: Remote (US)
$110,000 - $130,000 per year
Company
is a communications organization building infrastructure to align and scale progressive voices in the fragmented media landscape through data-driven social listening and narrative monitoring.
What you will do
- Develop new metrics using statistical and ML methods to interpret social listening data and identify high-performing content and issues.
- Collaborate with vendors to integrate LLM-based enrichments and pilot topic classification approaches.
- Evaluate and integrate new data sources, optimize data pipelines and database structures.
- Lead deep-dive analyses on topics like successful content formats or anomalous posts, including network analysis of social media actors.
- Recommend AI tools to augment workflows and translate datasets into actionable insights.
Requirements
- Bachelor’s degree or equivalent experience
- 5+ years in data science or ML, preferably politics/social impact
- Advanced SQL and Python expertise
- Experience with messy real-world data, strong programming and debugging for scalable systems
Nice to have
- Google BigQuery and GCP services (Cloud Composer, Cloud Run, etc.)
- Collaborative multi-disciplinary team experience
- DBT experience
Culture & Benefits
- Full-remote work policy
- 100% employee health care premiums covered, plus dental and vision insurance
- 401(k) with match
- Flexible leave: sick, vacation, parental
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →