Ask HN: Who is hiring? (May 2016)

Positions with the Data Science Team:

We need Software Engineers who can help us in the following areas:

Software Engineer (Data Pipeline Engineer): Experience with Apache Spark, Kafka, Zookeeper, some numpy and pandas for minor analysis Software Engineer (Data Scientist): Experience with Machine Learning systems, Stats, Data Analysis. Expertise around NLP, Image Processing, Recommendation Systems is a plus. We train production models that impact business bottom line: search, fraud detection, product recommendations. We're looking for someone who can leverage our Data Pipeline tools (and more if needed) to take models from prototype to production. About Tradesy Data Science: Tradesy is a marketplace with a current focus on high end fashion. The Data Science team touches many high leverage aspects of the business: Pricing Recommendations Product Search Product Recommendations Analytics and its Data Pipeline We're growing quickly and so is our data. We've got a nice mixture of images as well as textual information that we're tapping into to improve the marketplace. We're looking for strong engineers with strengths in the above mentioned areas, but if you are a strong generalist with the right background and can ship end to end products we would be interested in talking to you. Submit via https://www.tradesy.com/jobs/#jobs-at-tradesy

Positions with the Data Science Team:

We need Software Engineers who can help us in the following three areas:

+ Infrastructure, Automation, Monitoring (ansible, docker, graphite/statsd) + Data Pipeline (Apache Spark, Kafka, Zookeeper, some numpy and pandas for minor analysis) + Machine Learning, Stats, Data Analysis (NLP, Image Processing, and any quantitative tool we can use. We train production models that impact business bottom line: search, fraud detection, product recommendations. Here we're looking for someone who can leverage above tools to bring algos to production)

About Tradesy Data Science:

Tradesy is a marketplace with a current focus on high end fashion. The Data Science team touches many high leverage aspects of the business: + Pricing Recommendations + Product Search + Product Recommendations + Analytics and its Data Pipeline We're growing quickly and so is our data. We've got a nice mixture of images as well as textual information that we're tapping into to improve the marketplace. We're looking for strong engineers with strengths in the above mentioned areas, but if you are a strong generalist with the right background and can ship end to end products we would be interested in talking to you.

The team at LinkedIn who develops Kafka (http://kafka.apache.org), Samza (http://samza.apache.org), and Databus (https://github.com/linkedin/databus) is hiring for multiple positions in SRE and development at all levels. For more info on the type of work we do, take a look at: https://engineering.linkedin.com/data

We'll be having a recruiting event onsite at 2061 Stierlin Court in Mountain View, CA on May 11th, 2016 at 6:30 PM. If you're interested in attending, head over to http://www.meetup.com/LinkedIn-Data-Infrastructure-Meetup/ev... for the latest info.

If you're interested, but can't make it to Mountain View, CA on May 11th, please contact Kartik at kparamasivam@linkedin.com.

-- Who we are --

We're a small startup (-- Hiring process --

You will do two phone screens (15 for the first, 45 for the second) to make sure there's a good fit, then and 1/2 day onsite where we talk about engineering problems and make sure you know what kind of problems you’d be working on with us. Offers will be extended within 1 day of the onsite interview.

-- Our stack --

We run on linux in Azure, our APIs are primarily implemented using Scala (on Spray), the frontend is written with React.js, and we use python in some machine learning applications as well as for systems programming. Our data processing/machine learning is done in either Scala or python on Spark. Our service infrastructure is docker containers running on DCOS across multiple tenants (both our customers' and our own).

-- What you would do --

We are currently hiring tech leads in both DevOps and Front-End engineering. If you are at the top of your game and want to work on a small team solving hard problems, apply here: http://www.elementanalytics.com/careers/

At BTE we’ve been collecting data across all business operations for years. We are ready to unlock the potential of all the data we’ve been collecting by starting a data science initiative that you’ll lead. We’ve got data, servers, and technical talent to assist in this effort. You’d be responsible for building a data science initiative from the ground up using whatever tools and techniques you need.

Work with fun, smart, and self-motivated people at a highly successful and growing company in the ticket broker industry. As a data scientist at our company, you'll get to help build high-quality data scientist projects that provide tremendous value to the business.

Instead of being employee #938393938 like at a large corporation you’ll be a critical member of the team on a first name basis with the owner. Our company and technology teams are small and nimble. You won't be smothered by meetings and are mostly free to choose how you accomplish your goals.

We are a 100% remote work company but think it’s important to get together for a face to face once and awhile. Our culture is very dynamic but this isn’t a startup. There aren’t any weekend consuming death marches get things done but we all work hard in a balanced way.

Job Description:

* Manage, architect and analyze big data in order to build data-driven insights and high impact data models.

* Create a value chain to help address the challenges of acquiring data, evaluating its value, distilling & analyzing.

* Examine data from multiple sources and share insights which provide a competitive advantage.

* Team with business stakeholders and developers to design, develop and deploy state-of-the-art, data-driven predictive/descriptive models to solve business problems using the latest and most appropriate technologies in statistical modeling and machine learning.

Required Skills: * 3-5 years of experience with statistical computing and machine learning tools: R, Python, SAS, SQL

* Experience manipulating structured and unstructured data sources.

Desired Skills (nice to have): * Degree in a relevant field like statistics, computer science or applied math, etc.

* C#

* Microsoft Sql Server

Please send resume to johnefarrell@gmail.com