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Quantitative Research and Investment in Art (YC W17)

Data Scientist

$100k – $130k • 0.25% – 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.

Responsibilities

We’re looking for a Senior Data Scientist to:

- Work with the CEO and CTO to decide product direction and roadmap for future work
- Manage the data science team (mentorship, tasking, and staffing)
- 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

Qualifications

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) (DATA CLEANING)
- 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

Note:

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.**

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

Location

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

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