At Alteryx, Inc., we live for the thrill and delight that happens when we help free the world's thinkers to innovate in new ways. As you spend half of your waking hours at work, we make sure that time is spent pushing limits and fueling remarkable business outcomes for our customers. Our culture empowers associates to make a difference every day, as they collaborate with their colleagues to implement the Alteryx platform to achieve heart-pounding, fist-pumping moments of insight, preparing the new workforce for the jobs of the future.
We are excited to be adding to our expanding Enterprise Data Management team that drives data science into both internal decisions and helps enable customers with education and thought leadership on implementing analytics in their environments. You will help to improve the internal data warehouse and help every department use Alteryx's data and data science tools more effectively to deliver amazing results. In addition, the team will be working to drive our Alteryx for Good mission, helping schools and citizen data scientists around the world become more data literate, more capable answering questions, and more able to solve problems. It is a meaningful and exciting role to be in!
Become expert on key internal and external data sources. Identify opportunities to leverage new data sources/features to improve existing or develop new analytic solutions
Create end-to-end, robust analytic products (e.g. Auto Modeling, Natural Language Processing, etc.)
Degree in Data Science, Data Engineering or related field a plus
2+ years' relevant professional experience
Experience with R, Python, SQL
Experience with Auto Modeling, Hyper Parameter Tuning, Hot-Encoding, etc.
Experience leveraging visualization libraries (Plotly, ggPlot, etc.)
Exceptional teamwork and coaching skills
Excellent written and verbal communication skills with experience presenting technical concepts to all levels of internal/external customers
Ability to think on your feet and problem solve
Experience working in a fast-paced culture, managing multiple deliverables a plus