Data Scientist, Machine Learning
Waterloo, Ontario, Canada
The Company You’ll Join
At Carta we create owners and make private markets liquid.
We live in a world where some people live on the equity stack and enjoy exponential wealth growth and preferential tax treatment; others live on the debt stack and may work their entire lives for a company and retire only with the cash they’ve managed to save from their paychecks. Our contribution to solving the wealth inequality problem is moving people from the debt stack (payroll) to the equity stack. By making it as easy to issue equity to employees as it is to put them on payroll, we can create more owners.
At Carta, we are helpful, transparent, fair, and kind. We are relentless executors, unconventional thinkers, and masters of our craft.
To learn more, here is what one of our investors wrote about leading our Series F.
The Team You’ll Work With
Our mission is to enable data-driven decisions and products across Carta by collecting accurate data, building scalable infrastructure and delivering advanced analytics. This is a foundational role in Carta’s fast-growing Data Organization, working on one of the world’s most valuable data sets at one of the fastest-growing FinTech companies of all time. The team consists of experts in product analytics, machine learning and data engineering. We partner with each other and Cartan’s across the company to solve impactful problems. Our team strongly believes that being helpful accelerates results and we support one another to be successful at Carta.
The Problems You’ll Solve
As a Data Scientist, ML at Carta, you’ll partner with domain experts across the company to analyze and explore Carta’s proprietary data set. You will build statistical models that power new products and accelerate Carta’s business. Examples of responsibilities will include:
- Perform exploratory analyses to understand the dynamics of private markets and ownership
- Develop machine learning models to power new financial products and to extract trends from performance of existing products
- Automate monitoring of data distributions to detect and flag anomalies
- Partner with product managers, engineers, and business teams to incorporate data-driven insights into decision-making
- Own, coordinate, and solve complex, cross-functional problems that extend beyond the traditional boundaries of product, analytics, and data science
The Impact You’ll Have
You will own significant projects directly aligning with Carta’s company-wide initiatives of data products and data quality. Your work will empower leaders across the company to make good product decisions and optimize operational efficiency. Additionally, you will have the opportunity to set best practices for integrating our ML models into production helping Carta’s current and future data scientists.
About You
Candidates must have a strong foundation in statistics, 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:
- 2+ years of industry experience solving complex data problems with descriptive and predictive 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
- Strong written and verbal communication skills, with a particular emphasis on data visualization
- A collaborative attitude and a helpful personality
Tags: Data visualization Engineering FinTech Machine Learning ML models Python R Redshift SQL Statistics
Perks/benefits: Career development
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open Junior Data Scientist jobs
- Open AI Engineer jobs
- Open Data Engineer II jobs
- Open Senior Data Architect jobs
- Open Sr Data Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Analytics Engineer jobs
- Open Power BI Developer jobs
- Open Manager, Data Engineering jobs
- Open Product Data Analyst jobs
- Open Principal Data Engineer jobs
- Open Business Data Analyst jobs
- Open Data Quality Analyst jobs
- Open Data Manager jobs
- Open Sr. Data Scientist jobs
- Open Data Scientist II jobs
- Open Big Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open Principal Data Scientist jobs
- Open ETL Developer jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Business Intelligence-related jobs
- Open Data quality-related jobs
- Open Privacy-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PyTorch-related jobs
- Open PhD-related jobs
- Open Consulting-related jobs
- Open TensorFlow-related jobs
- Open Snowflake-related jobs
- Open NLP-related jobs
- Open Data warehouse-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs
- Open Kubernetes-related jobs