Senior Data Scientist

2 weeks ago

Kitchener, Ontario, Canada Carta, Inc. Full time
About the Role

Carta, Inc. is seeking a highly skilled Senior Machine Learning Engineer to join our team. As a key member of our data science team, you will be responsible for developing and implementing machine learning models to power our data products and automation capabilities.

Key Responsibilities
  • Domain Expertise: Partner with domain experts across the company to analyze and explore our proprietary document repository and data set.
  • Model Development: Build machine learning models to power new financial products, automate complex document workflows, and accelerate our business.
  • Infrastructure Development: Develop and maintain our machine learning infrastructure, including containerized prediction services and data pipelines.
  • Problem-Solving: 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 dedicated to developing cutting-edge data products and automation capabilities. We work closely with our core business units and product teams to deliver estimation-based data products and large language model (LLM)-powered document intelligence capabilities.

The Impact You'll Have

You will own significant projects that directly align with our company's strategic initiatives in document intelligence, data products, and data quality. 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

We are looking for a candidate with a strong foundation in statistics and machine learning, proficiency in SQL and Python, and an analytical mindset. You should have a strong bias towards simplicity, be excited by 'zero to one' projects, and be able to efficiently communicate findings to leadership.

  • 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

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