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Quantitative Research and Investment in Art (YC W17)

Senior Data Scientist

$150k – $220k • 0.5% – 1.0%
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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:

  • Work with our software engineers to refine the data pipeline and productionize models
  • Guide efforts to better understand what drives art prices and generate useful signals
  • Design hypothesis testing, backtesting, model validation, and data visualization systems
  • Incorporate knowledge and algorithms from many different domains
  • Design scalable systems and making architectural decisions
  • Task-monitoring, sprint planning, and excellent time management
  • Mentor other junior level data scientists
  • Feel comfortable setting team goals and monitoring success


Candidates should have most of the following:

  • Experience prototyping and deploying machine learning products
  • Experience writing production code
  • Several years of experience tackling hard data science and machine learning problems with the Python data science stack (at least some familiarity with extracting useful features from numerical, categorical, temporal, image, and text data)
  • Software architecture experience
  • Published machine learning research is a plus
  • Neural network-based computer vision and/or natural language processing projects is a plus
  • Experience working in professional environments
  • Intrinsic motivation and the ability to learn quickly
  • Strong communication skills and ability to work with a team
  • Experience working at a start-up is a plus
  • Art knowledge or industry experience is a plus
  • Business/finance knowledge is a plus


This is not an entry-level position. Please do not apply if you do not have a few years experience working as an engineer. No recent bootcamp grads.


  • Unlimited Vacation
  • 401K
  • Health Insurance
  • Snacks and team bonding events
  • Flexible scheduling and option for remote work if needed


All positions are competitively compensated and based in SoHo, NYC.

New York City
Job type
Visa sponsorship
Not Available
4+ years
Hiring contact

Arthena at a glance

Quantitative Research and Investment in Art (YC W17)

Arthena focuses on Machine Learning, Hedge Funds, Finance Technology, and Fin Tech. Their company has offices in New York City and Palo Alto. They have a small team that's between 11-50 employees.

You can view their website at https://arthena.com or find them on Facebook, LinkedIn, and Product Hunt.

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