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Data Science Intern
AOL
Palo Alto, CA, United States
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Company Description
The email landscape is changing and Alto Mail was created to rethink how we interact with our inbox. Alto Mail’s mission is to disrupt the status quo, making the consumption of emails easy, engaging and fun. Our app has been downloaded hundreds of thousands of times on iOS, Android, and we even have a thriving web user base. Recently we announced Alto for Slack that brings Alto’s magic to a productivity platform like Slack. We’re continuing to explore new product experiences within the Alto ecosystem.
Job Description
Natural language processing is a challenging domain especially when dealing with sheer scale and volume of data that’s constantly staggering. From building statistical models to leveraging signal processing, our platform uses many tools to process terabytes of data per day.
This intern will closely work with our data scientists and be responsible to help in building next generation natural language processing tools and architecture to handle billions of requests a day – to make sense out of streams of data.
Palo Alto is preferred location. Dulles, VA is alternate location.
Qualifications
• Pursuing a Masters/PhD in Computer Science or related fields (preferably with major in Data Science or Machine Learning)
• Strong analytical thinking and problem solving skills
• Expertise in at least one programming language (Python, Java, etc.) and experience with several
• Excellent written and verbal communication skills
If you’re someone who enjoys using either of Matlab, Mathematica, Octave, R, SAS, Hive, Mapreduce or a Python stack including Numpy, Scipy, Scikits, Spyder, Matplotlib, Flask, Bokeh, etc.; loves Sagemath or Anaconda to analyze, sifts through explore and identifies patterns and trends from BIG data, then this job is for you!
Additional Information
EEO/AA Women, Minorities, Veterans, Individuals with Disabilities Employer: AOL offers a competitive salary and benefits package, including 401(k) match and performance bonus. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or other protected category.