Arthena is a YC W‘17 company that quantitatively analyzes and prices art to create financial products for the art market. We’re passionate about using data to understand the drivers of the opaque, centuries-old art market. Our tight-knit team is comprised of engineers, data scientists, and fine art experts working together at the intersection of art, finance, and technology. We value intellectual curiosity, creative idea generation, and close collaboration.
Our data scientists analyze millions of records from decades of past art sales to generate quantitative signals used to drive business decisions. They work closely with software engineers to productionize models and with art experts to incorporate domain knowledge.
The data is composed of numerical, categorical, image, text, and temporal variables stored primarily in Postgres and analyzed in Docker images on a Kubernetes cluster on Google Cloud. We use the Python data science and machine learning stack: Python 3, jupyter, pandas, numpy, scikit-learn, seaborn, PyTorch, TensorFlow, NLTK, gensim, SpaCy, OpenCV, PIL, and others.
Typical data science deliverables include insights, numbers, visualizations, recommendations, predictions, and simulations to refine process and be displayed on React dashboards to help the Arthena team make data-driven decisions at scale.
We’re looking for a Senior Data Scientist to:
Candidates should have most of the following: