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Senior Data Scientist II

2 meses atrás

Rio de Janeiro, Rio de Janeiro, Brasil Carta, Inc. Tempo inteiro
About the Role

We are seeking a highly skilled Senior Machine Learning Engineer II to join our team at Carta, Inc. as a key member of our Machine Learning team. As a Senior Machine Learning Engineer II, you will play a critical role in developing and deploying cutting-edge machine learning models to power our data products and automation capabilities.

Key Responsibilities
  • Partner with domain experts across the company to analyze and explore our proprietary document repository and data set.
  • Develop machine learning models to power new financial products, automate complex document workflows, and accelerate our business.
  • Build and deploy containerized prediction services and integrate them with our data pipelines.
  • Collaborate with product managers, engineers, designers, and business teams to incorporate ML-generated estimates and benchmarks into products and user-flows.
  • Own, coordinate, and solve complex, cross-functional problems that extend beyond the traditional boundaries of machine learning.
The Team You'll Work With

Our Machine Learning team is on a mission to power data products and automation through cutting-edge techniques. We work closely with Carta's core business units and product teams to develop estimation-based data products and large language model (LLM)-powered document intelligence capabilities. This role is foundational to our team, where you'll work with one of the world's most valuable datasets and document repositories.

The Impact You'll Have

You will own significant projects that directly align with the company's strategic initiatives in document intelligence, data products, and data quality. Your contributions will empower leaders across the organization to deliver innovative products, optimize operational efficiency, and make well-informed product decisions. Additionally, you will have the opportunity to develop foundational infrastructure for our team and establish best practices for integrating our machine learning models into production environments.

About You

Candidates must have a strong foundation in statistics and machine learning, be proficient in SQL and Python, and have an analytical mindset. You have a strong bias towards simplicity, are excited by 'zero to one' projects, and can efficiently communicate findings to leadership. Example traits that we value include:

  • 5+ years of industry experience solving complex data problems with descriptive and predictive statistical models.
  • Proficiency with modern programming languages (Python, R, SQL, etc.) and datastores (Redshift or similar).
  • A deep understanding of modern statistical and machine learning models, when to apply them, and how to evaluate their performance.
  • Experience with large language models (LLMs) and their applications in document intelligence, information extraction, and text classification tasks.
  • Strong written and verbal communication skills, with a particular emphasis on data visualization.
  • A collaborative attitude and a helpful personality.
  • Experience with containerizing ML models and integrating them into production workflows.
  • Experience with building simple ETL pipelines (Airflow or similar) to schedule model training / predictions.