WiMLDS's mission is to support and promote women who are practicing, studying or interested in the fields of machine learning and data science. We create opportunities for women to engage in technical and professional conversations in a positive, supportive environment by hosting talks by prominent data scientists, technical workshops, networking events and hackathons. We are inclusive to anyone who supports our cause regardless of gender or technical background. However, in support of our mission, priority for certain events and opportunities will be given to women.
Our Code of Conduct is available online and applies to all our spaces, both online and off.
- OSCON = Open Source Conference
- July 16-19 in Portland, Oregon
- call for speakers is open
- The deadline for submissions is January 30
- Artificial Intelligence
- Apr 29–May 2 in NYC
- Discount: Save 20% on most passes with discount code UGWMLDS. Early price ends February 2.
Our running list of conferences is available on GitHub.
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Senior Data Scientist, Bloomberg (NYC)
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Data Science Intern, Buzzfeed (NYC / Los Angeles)
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Machine Learning Engineer, Text-to-Speech, AJA.LA STUDIOS (London)
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Machine Learning Engineer, Speech Recognition, AJA.LA STUDIOS (London)
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Data Scientist, Wikimedia (San Francisco / remote)
For more job postings, visit our Job Board
On behalf of the Between Two Rows newsletter from Enigma:
Transparency International ranks countries annually according to their perceived level of corruption. They use data sources ranging from the Economist Intelligence Unit, and the World Bank - and the results would be quite interesting to combine with signal from social or media mentions. Check out the source and the data.
Our meetup page: https://www.meetup.com/NYC-Women-in-Machine-Learning-Data-Science/
We have a Slack team for female and non-binary members of WiMLDS (all chapters for USA, Africa, Europe and Asia). If you would like to join and connect, send an email to slack@wimlds.org
For more information, visit our website at: http://wimlds.org
Email us at nyc@wimlds.org or complete this online request form