They're not necessarily talking about just those items. The entire store is designed so you buy things you weren't intending to buy. You never said/thought: "Ooh look ice cream's on sale..." and failed to resist?
I thought that was an interesting point as well. I'm having trouble coming up w/ full argument but one point is that there's huge differences btwn food and healthcare.
When you only have $20 to spend on food for the week, you don't need to go to the government for help. You can cook and eat rice and beans all week. That's what I did in college.
The difference w/ healthcare is there's no rice and beans of cancer treatment or ER visits. People aren't regularly given a decision between death and going to a fancy restaurant.
Data Scientist | Intent Media | New York City (Soho), Onsite
Intent Media is upending the e-commerce business model by using electronic market design and machine learning to enable the world’s leading online travel companies to publish competitive ads to users in the comparison-shopping portion of their purchase path. To create this opportunity, we manage a complex large-scale two-sided market mediated by a multi-item auction.
As a key member of our Data Science team, you will use your quantitative expertise to identify new areas of research and optimization, and then see those ideas through to production. Data Science is a fundamental contributor to Intent Media’s success - your work will have a direct and tangible impact on the business.
Qualifications
- PhD preferred in a quantitative discipline such as Operations Research, Statistics, Applied Math, Computer Science, or related
- Significant industry experience in some or all of: econometric / time-series models, regression, optimization mathematics, auction theory
- Experience coaching and mentoring team members
- Some experience writing production software in a language like Java, Ruby, Clojure, Scala, Python, or C++
- Some experience working in an agile, collaborative environment
Data Scientist | Intent Media | New York City (Soho), Onsite
Intent Media is upending the e-commerce business model by using electronic market design and machine learning to enable the world’s leading online travel companies to publish competitive ads to users in the comparison-shopping portion of their purchase path. To create this opportunity, we manage a complex large-scale two-sided market mediated by a multi-item auction.
As a key member of our Data Science team, you will use your quantitative expertise to identify new areas of research and optimization, and then see those ideas through to production. Data Science is a fundamental contributor to Intent Media’s success - your work will have a direct and tangible impact on the business.
Qualifications
- PhD preferred in a quantitative discipline such as Operations Research, Statistics, Applied Math, Computer Science, or related
- Significant industry experience in some or all of: econometric / time-series models, regression, optimization mathematics, auction theory
- Experience coaching and mentoring team members
- Some experience writing production software in a language like Java, Ruby, Clojure, Scala, Python, or C++
- Some experience working in an agile, collaborative environment