5 дней назад
Principal Data Scientist (AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Data Scientist (AI/ML): Building recommendation systems and creative intelligence products that connect multimodal creative data with media performance, with an accent on computer vision, multimodal modeling, causal inference, and production-grade machine learning. Focus on designing scalable model pipelines, measuring lift and uncertainty, and deploying reliable AI systems across AWS and GCP / Vertex AI.
Location: Remote in Colombia, Santiago, Chile, or São Paulo, Brazil
Company
is a creative data company providing scoring software, analytics, AI models, and integrations that help marketers and agencies improve creative effectiveness and media performance.
What you will do
- Develop recommendation models that identify creative underperformance drivers, recommend improvements, prioritize edits, and support testing.
- Build creative intelligence systems connecting visual, text, audio, structural, platform, and performance data.
- Apply computer vision, embeddings, LLMs, classification, clustering, and multimodal reasoning to video, image, text, audio, metadata, and KPI data.
- Design experiments, evaluate models, quantify uncertainty, measure lift, and apply causal inference, regression, matched cohorts, and treatment/control analysis.
- Write production-quality Python and SQL for data products, APIs, model pipelines, evaluation frameworks, and internal tools.
- Partner with Engineering, Data Engineering, and DevOps to improve training pipelines, feature stores, model serving, monitoring, and deployment workflows across AWS and GCP / Vertex AI.
Requirements
- PhD in Computer Science preferred; related quantitative or engineering PhDs and exceptional MS candidates with substantial applied AI/ML experience are also considered.
- 10+ years of applied data science, machine learning, or AI product development experience, or 5+ years of highly technical applied experience after a PhD.
- Strong production engineering skills with Python, data architecture, and SQL querying of large data tables.
- Experience with large-scale data platforms such as Databricks, BigQuery, or Flink, as well as MLOps, model deployment, monitoring, retraining, feature pipelines, experiment tracking, registries, and observability.
- Strong knowledge of supervised and unsupervised learning, recommendation systems, ranking, retrieval, embeddings, feature engineering, statistical validation, probability, optimization, and experimental design.
- Strong written and spoken English is essential.
Nice to have
- Experience with adtech or martech.
- Background in computer vision, video/image understanding, LLMs, foundation models, or applied GenAI systems.
- Experience applying models to customer behavior, product usage, revenue, operations, marketing, marketplace, or risk outcomes.
Culture & Benefits
- Senior individual-contributor position without direct reports.
- Opportunity to act as a technical standard-bearer and advisor across product, engineering, commercial, executive, and customer-facing teams.
- Work with a global team communicating in English.
- Remote work available from the listed locations.
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