Pluralsight proudly creates the creators of tomorrow: the people who develop the technology that lifts the human condition. We do this through the tech industry's leading learning platform for serious Developer, IT & Creative professionals. Our team of 700+ innovators & disruptors are serving over 1M users in 150+ countries to conquer the tech skills gap.
Iris is Pluralsight's learning intelligence platform, an innovative & unique user experience, whose aim is to use data to create a smarter, personalized learning journey. It is cutting edge & a key component of Pluralsight's strategy. We are growing a team of people from multiple disciplines who love solving complex problems with data & are excited by the prospect of creating the brains behind Iris.
As a data science intern on one of our cross-functional teams, you will help us solve novel statistical, machine learning, & data science problems by building & improving on the intelligence of Iris. We are looking for someone who loves tackling ambiguous problems, finding creative & practical solutions, & producing concrete prototypes that will become a key part of Pluralsight's user experience.
Who you are:
You are intellectually curious, collaborative, & highly driven with an entrepreneurial mindset. You have excellent critical thinking, problem solving, & analytical skills.
You have a strong foundation in Machine Learning, Computer Science, & Statistics.
You are proficient in either Python or R. Regardless of your favorite scientific computing environment, ideally you can flex between the two languages.
You know your way around SQL-like databases (e.g. PostGres, Impala, Hive) & even better if have experience with Spark & other big data platforms.
You can build data visualizations (Shiny apps, D3, and/or Tableau) that appropriately represent data & are effective in their purpose.
You have a solid data science toolkit that you can leverage, with knowledge of & understanding of how & when to apply different algorithms & technical approaches.
You can describe & speak in an approachable way about complex analyses & concepts within a cross-functional team. You are a great analytic translator.
You are currently pursuing a graduate degree.
What you'll do:
You will work closely with one of our Iris product teams to research, envision, & create quality reliable data science solutions needed to drive our user experience outcomes.
You will conduct complex analysis to help us solve a variety of broadly defined questions. You will go end-to-end, from framing the problem, to building the analytical solution, to delivering results.
You will build prototypes and/or re-usable tools to answer research or business questions
Working at Pluralsight
Founded in 2004 & trusted by Fortune 500 companies, Pluralsight is the technology skills platform organizations & individuals in 150+ countries count on to create progress for the world.
Our platform helps technologists master their craft & take control of their careers. We empower businesses everywhere to build adaptable teams, speed up release cycles & become scalable, reliable & secure. We come to work everyday knowing we're helping our customers build the skills that power innovation.
And we don't let fear, egos or drama distract us from our mission. Our mission to democratize technology skills is what drives us & our values are at the helm of how we work together. It's our commitment to practicing them day in, day out that enables our performance. We're adults, & we treat each other that way. We have the autonomy to do our jobs, transparency to eliminate office politics & trust each other to do the right thing. We thrive in an environment with creativity around every corner, challenges that keep us on our toes, & peers who inspire us to be the best we can be. We bring different viewpoints, backgrounds & experiences, & united by our mission, we are one.
Bring yourself. Pluralsight is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.