Data Science/Mining (Intern)
We’re here with the humble aspiration to accelerate the speed of human progress with our radically simple, all-flash enterprise storage technology. We’re driven by our belief that storage isn’t just a place to put things, it’s a powerful force to be unleashed - a force that will remove the limitations on those building the world of today, so they can erase the word “impossible” from tomorrow. Our all-flash storage solutions offer radically simple technology to help companies unlock their future possibilities, today.
Our founders created the company with a passion to build storage technology customers love and deliver it with simplicity and service that fundamentally changes the enterprise storage experience. Founded in 2009, our record revenue growth has landed us among a very select group of companies. Today, customers and industries across the world are experiencing the benefits of going Pure - from Barclays to Linkedin.com and ConocoPhillips, Pure adopters cover a broad spectrum from global consumer brands, to healthcare, education and finance.
Puritans come from various backgrounds and we thrive off of challenging the norm. This cross pollination of backgrounds led to numerous ground breaking ideas and has helped us build one of the most reliable and easy to use storage systems in the industry. We strive to hire the best and brightest people, who excel in a cutting edge, fast paced, collaborative and transparent environment. We are seeking enthusiastic individuals to solve real world problems while having fun along the way.
What You Will Be Doing
Pure Storage is seeking a summer intern who would be interested in data science/data mining. The ideal candidate would have experience with building systems that can ingest, process, organize and store structured, semi-structured and unstructured data from a diverse collection of data sources in useful formats for data analytics. A student with a background in computer science, mathematics and/or statistics would be a good fit.
What You Bring To The Team
Use of large-scale batch processing systems like Hadoop in AWS for ETL are necessary for this internship. Use of analysis technique for processing time-series data is required. SQL fluency a plus. Compiler experience in the form of front-end parsing is a plus.
- Masters or PhD student desired
- The ideal candidate has previous data science internship experience
- Skills: Machine Learning, Data Mining, any focus on time series analysis/analytics, ETL (Extract, Transform, Load), and DB is a plus
- Must be fluent: Python, SQL, MYSQL, Hadoop/Hive/Pig, C, and C++
- Familiar with R, Linux/Unix, AWS, S3, Weka, and Excel (including PivotTables)
Culture & Perks
Pure is a very special place. What makes and keeps us special is who we recruit to join us and how we work together. Our culture was shaped organically as our early team poured their heart and soul into Pure’s first generation product and supporting our early customers and partners. We expect each employee to approach their job at Pure with the same level of pride and care, and perpetuate the values that are making us the best storage company in history.
At the center of those values is the belief that the single most important thing we do is continue to hire the best and create a workplace where they thrive and enjoy. To reward our employees for the great work they’re doing we offer a number of perks and benefits, including:
- Boot Camp training
- Executive Speaker Series
- Free lunches and fully stocked snacks & beverages
- Lounge areas with ping pong, foosball, pinball and arcade games
- Team building events
Meet Some of Pure Storage's Employees
Technical Lead, Engineering Operations
Chris oversees the productivity and efficiency of the Engineering, Release, and Q&A Teams in order to ensure the company delivers the highest quality products in the shortest time period possible.
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