We're in the healthcare space working on some pretty compelling problems at the convergence of behavioral health and chronic conditions. I come from an ad-tech background where the general theme was to use loads of data to help advertising be "more efficient"... which is to say we tried to help sell folks on things they usually didn't need... meanwhile in spite of noble aspirations to clean up the industry, ad-tech has gotten creepier over the last 10 years. (I'm glad there are still folks working on that problem.) But today I'm so happy now to be directing my effort toward a somewhat surprising opportunity to A) benefit humans and B) be more efficient from a cost perspective. The general idea is that we find cases where providing behavioral health care (think treatment for SUD, anxiety or depression) has a very good chance of improving the management of one or more chronic conditions (think diabetes, COPD, asthma, etc). I don't want to over-sell it as a mythical win-win-win (the individual, the insurance companies, and our company), but so far the model is working pretty well. We're growing both in terms of business as well as our capabilities.
My team of 2 is looking for 2 more to join our fully remote team. If you're a thoughtful, experienced practitioner who has built successful (and let's face it maybe a few unsuccessful) ML or AI systems, you might be perfect. If you're searching this post for buzzwords, as a means of shameless SEO I'll mention Python, Tensorflow, Keras, Spark, Scala, SageMaker, Deep Learning, RNN, LSTM, R, ggplot, and (why not) Flask. Note that we may or may not use all of these _right now_ (the team is new and much TBD), but I'm hoping to catch the attention of the right folks in the midst of so many job HN postings.
Ping me via LinkedIn messaging or my email (dlarsen at the company domain name) if you're curious about the role. Having recently joined the company and this team, a lot of the considerations that are probably on your mind as a job seeker are fresh in my mind as well, and I'd be happy to have a candid conversation about the company, the role and how you might fit in.
I've recently ramped up work on something along these lines aimed specifically at personal finances (see my profile if interested... won't spam this thread). It's a spending journal which helps folks gain insight into their own spending habits and make better spending decisions. I've been using it as my own personal tool for years, and have recently (after being laid off) made it available for more folks.
What I found from my (currently) small circle of users, is that ease of use to enter the decisions was key. The SMS input has been key, and I'd recommend you consider it as a way to appeal to folks who would resist installing "yet another app with who knows what kind of data/privacy practices."
With all the uncertainty and risk to our personal finances, it seems fitting to work on a project that will (worst case) help me buckle down and improve my spending habits.
hah, cool to see this idea. I built something similar in 2010 to track my debit card purchases because I always pressed the 'credit' button (in the US) and the transactions didn't appear on my balance sheet for a couple days. So I sent a text just like your site describes and kept a ledger. Nothing like the tags or trends in yours though. Cool idea! The Monzo app in the UK has some really inspiring ideas.
Nice domain and nice concept. I too am among those with a home-grown approach to managing the budget. Mine is more of a spending journal than it is about planning or reconciling the entire budget, with motivations similar to those who would have a meal journal. I focus on the decision making process and self-evaluate spending according to my budget and my overall values.
We're on the same page regarding privacy. Except for taking money for the subscription, I keep my hands off bank accounts. And for those wanting a complete air gap, there's always the printable paper version:
https://www.spendlight.com/download/paper-spending-journal
Yes! This is awesome. Looking at all the budget software that uses monthly time frames, I was wondering why no one uses weekly. This quote is a great way to say it, "Even though most bills are paid monthly, discretionary spending is more naturally tracked on a weekly basis."
Ages ago, my tool tried to do both weekly and monthly but then I had the realization out that almost all of the monthly items were not ones I was having trouble with in the budget. The fixed expenses were (obviously) fixed. And consumption-based utilities would vary month to month, and that was easy enough to track and reconcile every so often.
In other words, the budget would get "broken" more often in the week-to-week habits than the monthly ones... hence, the resulting focus of my tool.
I think Rand Fishkin has some good thoughts[1] regarding the broader implications of companies like Hitwise failing. Regardless of data collection methods (which is a totally valid discussion), losing visibility into the areas of internet behavior dominated by the big players will carry a cost.
Hitwise | Santa Monica, CA or Camarillo, CA | 6-month Contract | Onsite
I'm looking for a data analyst to join our Data Quality team, for approximately six months, to maintain the integrity of Hitwise data. We'll need someone who is comfortable using various methods of data analysis to investigate and validate large data sets. If you love hunting down critical insights within highly dimensional data, you'll find strong camaraderie with this small, focused team. Many of our clients are well known brands; we expect you'll have a lot to be proud of at the completion of this 6-month engagement.
Unless you prefer to start with a HR-styled chat, contact me directly (Direct of Data Science & Data Quality) at dlarsen@hitwise.com.
P.S. We're also looking for product-minded data scientists. If you're into things like multilevel regression and post-stratification AND you have a great intuition about how to sensibly apply such techniques to sophisticated data products, throw me an email.
