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We connect people with opportunity in Data Science

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Leverage Your Talents To Solve The World's Most Interesting Challenges

If you are driven, curious and want to make an impact, there is no better space to be involved in than Data Science and Machine Learning. Our organization is designed to help talented practitioners and students do impactful work by building meaningful connections that allow you to connect with companies and projects that change the world.

If you want to build with other people who share the same goals, you've found your home.

See The Work We Do

Our Events

Explore More Events
How to conduct experiments with text at scale
Online
August 23, 2023

Experimental Design with Text Message Data

How to conduct experiments with text at scale

Speaker

Laura Zheng

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How to Combine Counterfactuals with Pattern Recognition
In Person
August 10, 2023

Causal Inference and Machine Learning: The Current Frontier

How to Combine Counterfactuals with Pattern Recognition

Speaker

Gerard Torrats-Espinosa

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Join other DSML Group Attendees for a Private Dinner
In Person
August 2, 2023

DSML Group. Private Dinner

Join other DSML Group Attendees for a Private Dinner

Speaker

Jonathan Bechtel

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Fast and Easy Chatbots
In Person
July 26, 2023

Research Reading: Prototyping Conversational LLM's With Alpaca

Fast and Easy Chatbots

Speaker

Jonathan Bechtel

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Join us at Rokt on-site to learn how a leader in e-commerce technology uses ML to solve problems.
In Person
July 12, 2023

Using Machine Learning in E-Commerce w/ Rokt

Join us at Rokt on-site to learn how a leader in e-commerce technology uses ML to solve problems.

Speaker

Yan Xu

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What is the underlying graph structure of the crypto financial market?
In Person
June 28, 2023

Using Machine Learning to Study the Structure of CryptoMarkets

What is the underlying graph structure of the crypto financial market?

Speaker

Jonathan Bechtel

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Join the Next Generation of Data Science Leaders

Our 9 week fellowship enables people with quantitative backgrounds to transition into commercial data science.

Full Stack Data Science

Build data products from end-to-end. Master the entire stack.

Real World Projects

Architect projects that have real stakes and require cross disciplinary collaboration.

Custom Hiring Support

White glove service that caters to your academic background.

Learn More

Need Help Building Your Next Machine Learning Product?

The Codesmith group of companies has an established track record of partnering with some of the world’s top companies to help solve their tech problems.

"The DSML team was incredibly talented and responsive. They helped us build an innovative suite of tools to assist decision makers with analyzing and negotiating complex challenges. The team both met our needs and delivered at the cutting edge, creating new AI capabilities that broke new ground."

     Tim McDonald, Earn Edge

Work With Us

Meet the Team

We're a team of practitioners, thought leaders, builders and industry pros aiming
to collaborate and expand the frontier of possibilities in their domain.

Gerard Torrats-Espinosa

Professor, Columbia University

Gerard is an assistant professor of Sociology at Columbia University and a member of their Institute for Data Science. His expertise is in the area of causal inference and experimental design.

His work has been published or is forthcoming in the American Sociological Review, Child Development, Demography, Housing Policy Debate, the Journal of Housing Economics, the Journal of Urban Economics, and the Proceedings of the National Academy of Sciences.

He helps to contribute to DSML's research endeavors.

Alex Zai

Principal Engineer

Alex worked as a deep learning engineer for Amazon and Uber, where he contributed to their internal ML libraries such as MXNet, which were used to power their AI products, with a specialty in Computer Vision.

He's also the author of the book "Deep Reinforcement Learning in Action" by Manning Publications, which was the first book to emphasize the use of RL for common engineering problems.

He specializes in developing the program and assisting with DSML engineering endeavors.

Jonathan Bechtel

Principal Data Scientist

Jonathan is a data scientist with an expertise in time series modeling and open source development. He's helped organize contributions to TensorflowJS and sktime, and enjoys evangelizing the spread of grassroots ML knowledge.

He's worked with organizations such as General Assembly, NYPD, Amber Capital and Advent International to assist them with their data science needs.

He has a particular passion for time series problems, since he believes

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