Data Science - Machine Learning College Intern
Who are we?
As part of the Data Science Team, this person will help define, develop, and deliver on data driven research and analytical analysis that informs strategic and tactical decision making related to Zappos’ site and an enhanced use experience. Work will also impact sales, inventory forecasts and general business insights and efforts. This is an excellent growth opportunity for an aspiring data scientist to help shape the future of data science at Zappos.
In the data science internship, you will initially be responsible for assisting more senior members of the team with different analytical projects. This could include writing SQL, analyzing trends, manipulating data in an environment like R or Python, building machine learning models, helping derive new insightful datasets, or the obviously usual intern things. As you progress through the internship you will take on more independent responsibility and conduct your own projects and take on your own stakeholders.
If you’ve ever been curious what working with billions of rows of data is like, then you’re probably looking in the right place. Learn how to manipulate and make sense of it all.
The CliffsNotes:
On our team we read the whole book. Here are a few examples:
- Support the team to create data-driven insights about visitor behavior from traffic patterns, order volume, conversion funnel, navigation behavior, path, and product selection. WOW us with your ability to look at a bunch of data and make recommendations about improving the business and customer experience (and proving the upside).
- Employ Machine Learning algorithms to derive insights from large data sets and present these to necessary parties.
- Leverage programming languages like Python to clean and prepare large datasets for Machine Learning and Predictive Analysis.
- Proactively identify opportunities and make recommendations to improve website effectiveness by drilling into data in order to further profitability and growth. Find problems we did not even know we had. Use your keen insights to help us fix them.
- Participate in additional business intelligence activities related to data analysis as needed. Go to some meetings. Contribute. Listen. You know, the usual.
- Stay up to date on latest industry developments. You are so passionate about what you do that you cannot even imagine NOT doing this.
Are you a match?
- You’ll be working with numbers and solving real-life problems, so successful candidates will usually (not always) be pursuing a degree in one of the following areas: statistics, mathematics, computer science.
- Experience with Machine Learning algorithms and methodologies.
- Experience programming in scripting languages like Python and objective oriented languages like JAVA.
- Experience in statistical methods and conducting detailed analysis.
- Experience utilizing AWS and its various SDK’s.
- Experience with Spark is a plus.
- Exceptional communication and interpersonal skills with a customer service orientation.
- Ability to convey data driven findings in layman’s terms
- Never run out of questions.
- Excellent problem solving skills.
- Normal working business hours are Monday through Friday 8:30 a.m. to 5:30 p.m.
- Must be willing to relocate to Las Vegas, NV for the summer of 2020 (did we mention we'll help with that?!).
Team fun fact:
Everyone on the team has at least one “a” in either their first or last name. Not saying this is required, but a definite pattern has been established.