GrubHub is creating and scaling out its own testing platform. We need someone with a deep understanding of quantitative methods to help guide the process.

Ideally this person will have a deep understanding of statistics (bayesian and frequentist), economics, and also be able to work across a company with many stakeholders. The job will also include statistical analysis of test results as well as data mining tests for insights.

This is an opportunity to impact a public company (that's fun to work at) in a business critical way.

Big data has come to sports, and Second Spectrum is using it to transform the sports experience, for everyone from coaches and players to the most hardcore or casual fan. We have trained machines to understand sports at a level of sophistication that exceeds that of most collegiate players. Using this machine understanding, we deliver analytics software that is helping ten NBA teams win more games, is enabling national broadcasters to tell better stories, and will give every fan their own personal sportscast. We have signed deals with ESPN and Fox to deliver content and interactive products for their for their broadcasts, and have had our work used on both NBA Countdown and SportsCenter.

We are looking for a variety of engineering roles, including full-stack, UI/UX, systems, mobile, dev-ops, machine learning and computer vision engineers. The responsibilities range from sophisticated UI design that supports detailed but intuitive analytics, to front-end interfaces that will appear on national sports broadcasts, to scalable backend infrastructure that supports robust video streaming, to ML and CV engineering that enables the semantic layer that understands the game. Our software stack is based around Node, Go and Python, and we also use C++ for our video systems.

In addition to the engineering roles, we’re also hiring a product manager who will guide our engineering and design efforts in order to deliver our technology to all our customers, ranging from NBA coaches to casual fans of the game.

Standard Analytics (Techstars NYC 2014) is hiring a Machine Learning / Data Engineer to help us organize the world’s scientific knowledge. One of our primary goals is to make knowledge discovery more accessible, contextual, and anticipatory, all driven with the power of machine learning, AI, and the semantic web. As a data engineer at Standard Analytics, you will have the unique opportunity to not only take full advantage of the copious amounts of open-access data and text available, but also the large number of scientific articles published through our platform. Some of the challenging problems we are currently trying to solve include: multi-label large-scale text classification, scientific entity recognition, data linking across multiple ontologies and resolution within multiple knowledge bases, deep contextual information retrieval, and Q&A. We are looking for someone to join us full time in NYC as a core member of our machine learning / data science team.

Qubit is a high growth, venture funded business, delivering website personalisations to some of the world's best known ecommerce companies, such as Topshop, Staples and Thomas Cook.

We are looking for a Big Data Analyst with a sharp sense of commercial problem solving and best-in-class data manipulation abilities.

Qubit's Universal Variable data layer enables our clients to capture and store a wealth of information about the performance of their sites, products and users. As our Big Data Analyst, you will be at the forefront of providing data insights for our clients, unlocking the value in their online data.

Gild is looking for a Data Scientist that is ready to have a huge impact on the design and development of new features for the Gild Platform as well as the enhancement of existing features and applications. Gild is building an intelligent and collaborative end-to-end hiring platform that will change the way people are hired forever.

Note: For this role you must already be legally authorized to work in the United States.

Data Engineer at SoundHound here. We're rapidly expanding our data team here due to the upcoming release of our Hound app and Houndify platform. We haven't finalized the positions yet so you wont see these on the careers page but mail me if interested: rob at soundhound dot com. It is a fun music oriented company to work at and theres a lot of buzz about the new Hound side of things. But don't take my word for it check us out on Glassdoor.

Natural Language Processing Engineer

Underdog.io is a curated marketplace for talent. We help technology companies hire amazing engineers, designers, product managers, and businesspeople at a fraction of the cost of traditional recruiting firms. In only one year, we've helped thousands of candidates get in front of hundreds of technology companies in New York and San Francisco.

We're hiring a Natural Language Processing Engineer to help us automate our candidate review and matching processes. It's a big undertaking involving resume parsing, data classification, semantic job/candidate matching, and more. This hire will play a key role in shaping the direction of the company.

Requirements

- B.S. or M.S. in Computational Linguists, Machine Learning, or NLP. - Industry (or deep research) experience. - Experience with a scripting language (Python preferred) and shell scripts. - Good communicator, self-motivated, startup experience a plus. - Excited to do whatever it takes to make Underdog.io great.

San Francisco, CA | Denver, CO | Seattle, WA

We are looking for a data scientists with teaching experience to join our instructional team.

Practical, industry-based education is hard to access in the exciting and growing field of data science. gSchool has a tight-knit team of data scientists, educators, and community builders that are creating a pathway onto industry’s most demanding data science teams.

We are growing our data science instructional staff at Galvanize. Our instructors train technical professionals with programming experience to solve data science problems utilizing innovative educational techniques. We’re looking for passionate educators and practical problem solvers with demonstrated flexibility and curiosity.

Join us in building the world's hub for education in data science and data engineering.

At Opendoor we're changing the way homes are bought and sold.

Moving is one of life’s most stressful events. We are empowering people with a simpler, more thoughtful approach to selling their house and buying their dream home. We are live in our first market and are experiencing phenomenal growth.

Building data products is at the core of what we do. We're looking for talented data scientists, business intelligence analysts and software engineers to join us. Help us modernize the real estate industry, and reinvent life's largest and most important transaction.

Looking for Data Scientists, Front-End and Back-End Engineers

We’re dedicated to making the digital world better for real humans. Automated programs, called bots, account for 61% of overall internet traffic today — and as the world becomes more digital, this will only increase. Ultimately, bots make it more difficult for real humans to get what they need from the Internet, and more difficult for companies who serve humans to provide high quality content and services cost-effectively. We find and verify humans by analyzing natural user behavior across millions of websites.

All humans interested in joining the team, please visit http://areyouahuman.com/careers to apply.

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We are seeking an exceptional data engineer to build and maintain big data infrastructure. This infrastructure supports the development of a strategic data asset and the execution of data science projects, which include complex applications of machine learning, visualization, and data mining.

We have numerous open positions in data science, product analytics, engineering, and just about everything else.

Come help us solve hard problems! You also get free Uber credit.

Senior Data Scientist

http://bit.ly/1DnUApm

Available Positions: Machine Learning Engineer - Data Scientist

Scene is social discovery, interaction and commerce platform for the physical world around you. You can think of us as Waze for local places. Scene lets you plan with friends and provides real-time venue activity and live ephemeral media submitted by our users and merchants, and much more. We are looking for talented developers with a passion for delivering polished mobile user experiences and working through complex problems to join our development team and accelerate our app development. We offer competitive compensation and benefits including early stage company stock options. Work alongside a young, dynamic and talented technical team with experienced leadership and have direct meaningful involvement in building a new consumer platform in a real startup environment!

http://www.iha.org/pdfs_documents/about_us/Senior-Data-Analy...

The Senior Data Analyst will analyze results and model hypothetical financial projections, create and present graphical summaries of results, and conduct performance calculations and quality-check reports.