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Please lead with the location of the position and include the keywords INTERN, REMOTE, or H1B if the corresponding sort of candidate is welcome.
Feel free to post any job that may interest DT readers from data scientist to machine learning expert to statistician to software engineer (data).
Civis Analytics- Chicago, IL We spun out of the analytics shop from the Obama 2012 re-election campaign to tackle really hard data science problems for campaigns, non-profits, and companies. We're looking for both junior and senior people, especially people with an ML background: http://www.civisanalytics.com/apply
Hey! I applied a couple of months ago and didn't pass the take-home test. I was just wondering if there was a gestation period for people to reapply, or if I shouldn't bother.
I'm a software engineer turned VC, and I work at a seed fund that's focused on data-centric companies. A bunch of those companies are looking for data scientists/engineers:
- Periscope (SF) -- Periscope offers a SaaS analytics platform that works super super fast on large datasets. They're looking for engineers to work on data/analytics tools (https://www.periscope.io/data-obsessed-engineer)
- Vurb (SF) -- They're building a new and better way to surf the web. Looking for data scientists and search engineers. They were the recent grand prize winner at TC Disrupt in New York (http://vurb.com/jobs)
Please let me know if you're interested in any of these and I can connect you to the right people. ([email protected])
I want to vouch for Radius here. I spent 4 months as an intern on the data science team and loved it! Not only were the problems challenging and relevant, but the sheer curiosity and intellect of the other data scientists is astounding. Hands down, Radius has the best dataset in the world for businesses, including both traditional and non-traditional sources, and is building the best signal for the US Economy. If you want to work with bright data scientists on important problems, I would reach out to Shaun above^!
Weft - http://weft.io - Cambridge/Boston, MA (office is in central sq.)
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====== What we do =========
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Strategic Maritime Risk Planning (waze for ships)! We’re working in the largest, least sexy, most invisible industry in the world — 90% of everything has been on a ship at one point in time.
The problem -> To try to decrease costs, carries have been increasing the size of container ships. The only problem there is that as container ships get larger, the variability in the global supply chain goes up (e.g. a large ship being late causes a headache to more people than a small one).
How we fix it -> We track every ship on the water and run a bunch of analysis on our data sets so that we can help our customers smooth out the rough edges. (One company we're working with spends 6.5 mil every month on “late fees” because of these rough edges).
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===== How we do it ========
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Web/data stack -> Clojure + postgres/cassandra/redis/rabbit + ruby on rails + hadoop/EMR + Node (we’re a SOA shop)
Mobile -> iOS, android in the near term
Algorithms -> a dizzying mixture of oldschool and newschool techniques ;-)
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====== And the rest =======
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We've got some very interesting partners and customers (ranging from telcos to enterprise software providers to regional and international logistics companies). We also have some top tier investors (a16z)!
Looking for help on mobile, frontend, and data science sides! Would be thrilled to find a CTO to grow the tech side of the company with me, but I'm also happy to find engineers who just want to build great things.
If this sounds interesting, please shoot me an email at [email protected]!
A young, growing, high-energy casino group seeks a quantitative and critical thinker to join as a (possibly Sr.) Analyst. You will work with customer data to help make strategic business decisions/recommendations related both to our casino floors and to our direct mail marketing program.
Your work will have a direct impact on our bottom line. Think: "Moneyball" meets marketing. If you get excited by data, prediction, inference, and Las Vegas, this is probably a good fit for you.
I would prefer someone with a few years of analytics/data experience, but if you are good with SQL, have a quantitative degree (preferably math/cs, but this is negotiable -- we have some really good folks with econ backgrounds), and can demonstrate that you're a smart and quick-thinking data geek, I'd love to chat with you.
There is room for growth within the company, and I'm really excited about where our group is headed. We're automating and standardizing processes and reporting, building predictive models, developing test methodology and analyses, and becoming a key and highly visible business partner to many groups throughout the company.
Resumes/inquiries to brian <dot> <last five letters of my username> at PNKMAIL <dot> com
Sorry, no intern, no remote, and no H1B for the time being.
At AT&T (Atlanta and Roswell, GA; Plano, TX; Palo Alto, CA; and I think there's some possibility for REMOTE work) we are looking to hire data scientists and software engineers for data-related positions.
We're looking for a part-time or full-time writer who wants to write about data science, big data, cloud infrastructure and tools, etc., especially when enterprises want to use and/or spend money on it.
Preferably you're tuned in to dynamics of certain open-source projects and connected to founders and project leads.
Preferably you have experience blogging, doing journalism, and/or writing for a non-academic audience.
Preferably you are in San Francisco or New York.
If you're interested, please email me at jordan at venturebeat dot com.
AvantCredit (Chicago) is hiring senior data scientists, data engineers, and data dev ops. We offer competitive salaries and a flexible work environment.
We have gone from 0 to 150 employees in a little under fifteen months and have raised more money last quarter than all other Chicago startups in the same period last year combined. (http://bit.ly/1hp2cx4)
Our stack is Ruby on Rails and R deployed on Heroku and AWS, respectively, and we do not mess around. All of our R packages are documented, tested, and vignetted. We have continuous deployment and integration (yes, on the data science side!), and all of our classifiers are automatically backtested and validated.
Conspire is a Techstars company founded in 2012.
We analyze email data to give users detailed analytics on their email network and to understand the strength of connections between people. With this understanding, we maintain an always-up-to-date, weighted network of connections without any work on the part of users. When a user needs to reach a person or company, Conspire finds the strongest path of connections in the user's extended network.
We're using a graph database to power our path queries, and it's been incredibly performant so far. We'd love to get someone on the team with a background in data science to help us get more out of our information.
