3,178 karma · joined September 2, 2007
DSR is the market leader in EU for machine learning training. DSR helps coders or people with significant quantitative training (e.g. science, engineering, or math graduates) ramp-up rapidly for a data science career - arguably the fastest-growing, highest-demand profession. Our participants have an average of 5 years of industry experience.
DSR is a 3-month, in-person, rigorous, and full-time/intensive course in the startup-capital of Europe: Berlin. You’ll learn software engineering, data science, business analysis and communication faster and more deeply with mentors doing code reviews and pair-programming - all on real-world data and problems. You will develop a portfolio project, demonstrating you can own a business problem, solve it, and communicate why your results are definitive.
You bring your training, tuition, and drive to master our curriculum alongside our world-class mentors and partners. Towards the end we provide a networking event with top-tier technology companies, where you will show off your new skills and portfolio project, likely leaving with a career-changing job.
Maybe the author is taking Amy's class, 30x500? I'm not even taking it and I know all this :). It's been blogged for a while now.
Oh, and the scheduler is taylor made for code (code chunks usage is different from word usage, which means the equation parameters optimized for word learning won't work).
Contact me if you want to know more (see profile).
Do you need a data scientist that can also do the data pushups and communicate the results? I have ~8yr experience in R, PhD in machine learning, and 2 startups under my belt.
Problems I solve:
Why are customers canceling their memberships?
How are users moving through the site?
What is the maximum I should pay to acquire customers?
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We'll use both math ( bayesian models, e.g., Custora-like), and Patio11's style of mail campaigns.
I have helped luxodo.com, and betabrand.com (through a former company that tanked). Feel free to contact me to talk about your problem.
If you dedicate 70% of the time to find the market and isolate the pain point, risk decreases hyperbolically :)
My money on the static site generator race is on docPad.
What are we supposed to do once there's a sizeable email list?
I might be too invested in awesome to try it, don't have time. Shout if it's really a quantum leap :)
I had a burst of ergonomic problems that made me switch. I have had zero problems since, and I work just as many hours.
I can recommend colemak.
I learned it by typing a novel from an author I wanted to learn writing style from (Murakami, pinball 1973). Took me maybe a month.
In Spain, the public health system is free and works surprisingly well (believe it or not). If you want private coverage, I think the montly payments all hoover around 60 eur.
Why Germany is x10 as expensive, I'd like to know.
Right now, using bitcoin is a bit of a pain, you have to do a bank transfer, etc. Fix that, and make it as fast as paypal. Money ensues.
We are a funded (seed) startup working on a customer analytics tool for online retailers.We are two people looking for a head of development / CTO. We have offices in Berlin, funding for one year and the package includes very generous shares for the right candidate. We use lean startup methods, and can systematically test hypotheses on any market. Hundreds of customer interviews already done. Our approach is the ‘startup of startups’, that is, iterate fast and discard what doesn’t work, even if the new product looks like a completely new application (and startup!).
What we do:
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Customer Lifefitime Value (CLV) is the mythical ‘magic number’, the amount of money a particular customer will ever bring in. Knowing your CLV makes it trivial to: - optimize marketing spend for different inbound channels. - identify your highest value customers, - identify those in danger of never coming back.
Most shops have a ‘gut feeling’ of what their CLV is, but no way of knowing for sure. Yet this is the number that would make the largest impact to their bottom line, if only it was possible to have it. Ah! Predicting the future is hard, right?
It turns out CLV can be computed with surprising accuracy (10% error) at the individual level. At Fluidshopping, we use sophisticated bayesian models to estimate CLV. We look beyond what has happened in the past (which you get with say google analytics). CLV changes often, due to your marketing actions, season, or changes in the market. We retrain our models weekly to reflect those changes, and then suggest the actions that would make the largest impact (email campaigns, popups with offers triggered by user behavior on your site, etc).
Requirements:
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You can apply with any language. But we need code samples. Let us see something you build; please explain what it does and how to run it if it’s not obvious. We prefer github projects. Do not send code samples that do not make sense out of context. We are looking for a difficult problem you solved, or a common problem that you solved in a novel way.
You need to be within 5 years of your last academic appointment, or graduation. That is, if you graduated from university more than 5 years ago, you are not eligible. You can also apply if you had a job in research settings within the last 5 years. We do not care about you having a title, but we are funded by the government, and they do. They want to see someone with a compSci-related title. We are really sorry in advance if the requirement excludes you, a great hacker who doesn’t have a title.
Responsibilities:
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Your responsibilities will be to work on new key features, help us scale, contribute to the product and optimize performance. You’ll be the CTO in an agile development environment. Customer interviews tell us our solution attacks a very obvious pain point for online retailers, a large market that is ripe for disruption. As a CTO, you will make decisions to make sure our solution ‘just works’ for clients. We have excellent talent for both front-end and back-end development, so you are free to concentrate on the problems that matter most (architecture, models, etc). But of course, in a small team you will need to write production-quality code yourself.
Nice to have:
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Mongo or similar NoSQL db JavaScript, Backbone.js, node if you have used it in production python/django, ruby/rails or any other web framework Familiarity with HTML5 (websockets) R or any other data-friendly language with lots of libraries Familiarity with probability theory and modeling
Perks:
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Work from home (optional) Stock options in two-digit range Dog Terrace with barbecue In the center of the Berlin startup ecosystem Continuous deployment, strong testing culture
contact: jobs@fluidshopping.com
We are a Berlin-based startup working on next-generation testing and user experience. At Fluidshopping, we want to make split testing easy for web shop owners.
This includes test that change the business rules, not the GUI. For example, you may want to test if sending a $10 voucher to those who buy >$50 will have an effect on chance of repeated buy. Or you want to test the effect of free shipping when they bought >$100. As far as we know, these tests are not easy without tinkering with the current shopping cart software setup. We want to make this as easy as testing the GUI and UX elements (design, copy).
We use lean startup methods, and can systematically test hypotheses on any market. Our approach is the ‘startup of startups’, that is, iterate fast and discard what doesn’t work, even if the new product looks like a completely new application (and startup!). We have runway for a year. We are two people, and have been funded for only two months. We have offices in Berlin, but we often work from home.
We are looking for a technical cofounder (CTO) to disrupt the ecommerce analytics market with us and to receive a forthcoming EXIST schoolarship (2000-2500€/person/month) for one year. We are two people, one of us is technical, with a PhD in machine learning.
Responsibilities:
Your responsibilities will be to work on new key features, help us scale, contribute to the product and optimize performance. You’ll be the CTO in an agile development environment. The job offers lots of challenges because we build a real-time collaborative tool in a large market that is ripe for disruption.
As the CTO, you set the technology. Our current MVP is Django. We need to interface with shopping carts, and when the API is not enough, that means some PHP may be unavoidable. What we like: - node.js - Mongo or similar NoSQL db - jQuery - JavaScript - python/django - Backbone.js - Familiarity with HTML5 (websockets)
Perks: - Work from home as much as you want - … but have a nice office, with terrace and BBQ - Stock options in two-digit range - Dog - In the center of the Berlin startup ecosystem (we organize events such as demodinner)
For more see http://fluidshopping.com/blog/about-fluidshopping/