(Permanent Job) Principal Data Scientist

  • Central Ave, San Francisco, CA, USA
  • Full-time

Job Description

This is our direct-client opening for a Principal Data Scientist located in San Francisco, CA. This is a Full-Time Position and the client is open to candidates from all over the country since relocation assistance is provided. 

There are 2 roles for Data Scientist position

Principal Data Scientist

Staff Data Scientist

We are seeking a creative and accomplished Principal Data Scientist with authoritative knowledge of quantitative trading algorithms, machine learning techniques, software development and micro-economic principles to lead the development of a state of the art trading platform. We will delve into our rich data set of dynamic ticket marketplaces to predict market trends, quantify risk, optimize portfolio management and understand customer behavior. Our algorithms have a dramatic influence on the business, improving our customer experience, increasing the efficiency of our markets and optimizing our investments. You will be a leader on a small team of the best data scientists in the industry.

You Will

Champion and execute long-term strategic programs that grow our algorithmic market modeling data products.
Lead the creation of algorithms and models to predict market dynamics.
Mine our rich data set to understand customer behavior and market trends.
Design experiments to test and measure behavior in our markets and the performance of our models.
Inspire your teammates with your authoritative knowledge of machine learning, software development and economic principles.
Use state of the art big data and machine learning tools in a distributed / cloud computing environment, such as TensorFlow, Spark, Pandas, Hive and Google Cloud utilities.
Frame complicated problems in simple terms and enjoy clarifying sophisticated solutions.
Bring a passion for discovery, problem solving and groundbreaking technology.

You Are

Accomplished. Earned a Doctoral Degree in Economics, Econometrics, Statistics or equivalent quantitative field.
Creative. Known for coming up with different ways of looking at problems and for investigating the latest advancements in the field.
Technical. Familiar with modern machine learning techniques and passionate about embracing new tools.
Knowledgeable. Have experience with software development and algorithms. 

Please complete the below skills-matrix and send back with your most updated resume

Full Name:

Do you have a PhD?

Total Experience as a Data Scientist:

Total Experience with Data Modeling / Algorithm Development:

Total Experience with Built Models:

Total Experience with Pricing:

Domain Experience: Trading securities, Algorithmic Dynamic Pricing, Marketplace Modeling, Inventory Management:

Total Experience with any of the following - Tensorflow, Spark, Pandas, Hive:

Expected Full-time Salary:

What is the link to your LinkedIn Profile?

What is the best phone number to reach you at?

Current City/State:


Work Status (US Citizen, Green Card, etc.):


Additional Information

All your information will be kept confidential according to EEO guidelines.