DLarsen

Remote: Yes

Willing to relocate: No

Technologies: I've mostly built around data-heavy systems, and I'm familiar with the typical tools in that space. In this era, it's possible that my domain experience in adtech, rare disease and now IP/patenting is more interesting than the details of my tech chops. I have a pretty decent sense of how "analytics" or "insights" tools play out in the real world, and I know what holds up to scrutiny in decision-making scenarios. I enjoy early-stage projects quite a bit.

Résumé/CV: https://dataxam.com/larsen-resume-2024.pdf

Email: [email protected]

Note: I have a job, but as a father of five (incl. a bunch of teenagers), it pays to be risk averse.

My son and I are working on a spending journal which puts forth a new kind of form factor for tracking expenses. Our emphasis is less on the accounting angle and more on the behavioral side. We use the journal for self-evaluation of individual spending decisions and as a tool to communicate spending intent within our household. It turns out that between myself, my wife and our teens... not everyone naturally geeks out with spreadsheets, and this collaborative journal has been a decent middle ground to coordinate spending.

Someone else beat me to the punch on buying the website, but Mitchell’s clarity of purpose was profound.

My 13-year old son and I have been working on a behavior-oriented personal finance tool. I've kicked this idea around for years, and we had a chance to use it as our subject for a 12-week entrepreneurial program. I built a version of it for personal use years ago, but had fun looking at it through the lens of a more serious endeavor.

It's not feature complete, but the demo of the SMS-based journaling input works pretty well: https://spendlight.app/demo

Get in on the ground floor (2nd hire) of a new B2B, data-heavy venture.

We're looking for someone with hard-earned street smarts, and can help establish an outstanding working relationship between engineers (me for now!) and our subject matter expert (a 30+ year lawyer). Experience in finance, legal and data viz are a plus. A fruitful previous working relationship with DataSci professionals is a mega plus.

At the heart of our company, we seek to manifest a new business paradigm as usable (sells like hotcakes) SaaS. Big challenges, big potential reward, and (to shoot you straight) plenty of pitfalls on the product front that you can help us avoid.

We've got a good support network for both funding and advisors, all with legit unicorn-level chops.

Connect and message me at https://www.linkedin.com/in/larsenal/ to learn more.

Remote: Yes

Willing to relocate: No

Resume/CV: https://dataxam.com/about

Technologies: Python, SQL, R, dbt, Snowflake, Postgres, D3, Spark, HTML, CSS, Scala, Ruby, etc.

Email: david.larsen+hn [at] gmail.com

Mostly interested in nascent data product work. If your data asset strategy is critical to your organization's success, you'll find me to be a capable, thoughtful contributor.

If we assume the algo rocks (because you have operations research veterans), what stage of planning does your system address? What is the experience required and cost of manual intervention?

Fun problem. Human factors and edge cases abound. So much is at stake for a system that already works (to any predictable degree).

I'd love to hear more though.

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.

https://www.paycomonline.net/v4/ats/web.php/jobs/ViewJobDeta...

https://www.udemy.com/course/analog-electronics-robotics-lea...

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.

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.

My approach won't appeal to a lot of folks, but there are dozens of us who find it super useful: https://www.spendlight.com/#how-it-works

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

1: https://sparktoro.com/blog/avasts-shutdown-of-jumpshot-will-...

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.

Required: Excel, SQL, cheerful customer-friendly attitude

Relevant: Python, R, BI tools

Unless you prefer to start with a HR-styled chat, contact me directly (Direct of Data Science & Data Quality) at [email protected].

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.