Data Scientist: Programmer and Modeler

Why Pure

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. 

Our Team

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.

Summary:

Davenport & Patil have written in the Harvard Business Review article entitled “Data Scientist:  The Sexiest Job of the 21st Century” that the role requires “a high-ranking professional with the training and curiosity to make discoveries in the world of big data.”

Pure Storage is looking for an experienced computer/data scientist with a strong programming background coupled with excellent analytical and communication skills to join us in building up a big data analytics practice.  Our charter is to partner with IT to create a marketing data warehouse on Pure Storage technology that enables the ingestion and blending of many disparate sources (both structured and unstructured) for predictive analytics and operational reporting.  This will be the platform for next-gen marketing decision support focusing on: the use of statistical techniques for new customer acquisition, propensity-to-buy prediction for program targeting, rules for cross/up-sell, segmentation/classification, real-time analytics and media mix optimization. 

 

What You Will Be Doing

The Data Scientist/Programmer & Modeler will join a growing data science community in Pure Storage and report directly to the Senior Director, Data Science as part of the marketing group. The data scientist will blend both structured and unstructured data and team with statisticians to use the latest datamining and data visualization techniques to craft actionable models and insight in order to provide a sustainable competitive advantage for Pure Storage.

The candidate must have a formal education in an area related to computer science, and be exceptionally interested in lifelong learning to keep pace with the latest techniques and technology related to big data analytics, while having the skill to manipulate large, disparate datasets from a wide range of sources.

The ability to identify, synthesize and communicate technical and analytical findings and business recommendations to a non-technical audience is critical.

 

What You Bring To The Team

  • Graduate degree in computer science or a related technical field required. Excellent knowledge of database systems and architectures, big data programming languages and machine learning. Experience in working in marketing analytics a plus.
  • Programming experience in SQL and/or Python for data manipulation necessary.
  • Familiarity with data visualization programming languages such as JavaScript, in addition to software such as Tableau, Chartio or Spotfire beneficial.
  • Familiarity with big data technology such as Spark, Hadoop and Hive.
  • Ability to program in R, base SAS and/or Python to implement machine-learning techniques a plus.
  • Excellent interpersonal skills: collaboration, creativity and communication all key to success.

If a career in data scientist with a company that is at the center of the big data renaissance sounds like a good fit for you, please reach out to us to get in on the cutting edge of big data analytics!

 

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.

  • Flexible vacation - take time off when you need it
  • Exceptional medical benefits with 100% employer paid premiums
  • Commuter benefits for public transit and bicycle commuters
  • Free lunches, dinners, and fully stocked snacks & beverages
  • Lounge areas with ping pong, foosball, pinball, and arcade games

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Meet Some of Pure Storage's Employees

Chris G.

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.

Miranda S.

Software Engineer

Miranda serves as an essential component of the Pure Storage Flash Blade User Interface Team. Together, they apply important client feedback to new features and implementations.


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