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 eight NBA teams win more games, is enabling national broadcasters to tell better stories, and will give every fan their own personal sportscast.

We are looking for both full stack engineers, and machine learning and computer vision engineers. The responsibilities range from sophisticated GUI 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.

Sell your home in under a minute. Buy one without an agent whenever you want. We're making residential real estate liquid.

Data Scientist & Software Engineer - Work with an accomplished, close-knit team (ex- Square, Google, Facebook, Apple folks) to fundamentally change how people buy and sell their homes. - Build mission-critical data products, such as our valuation model, predictive modeling infrastructure, and growth experiments. - Work on unique problems using a mix of machine learning, crowdsourcing, exploratory data analysis, feature extraction, and software engineering.

Job board: https://boards.greenhouse.io/opendoor

We launched 3 months ago and now purchase and sell hundreds of thousands of dollars of homes per day in our first city.

Here's our team: https://www.opendoor.com/about-us

We are looking for a data scientist to join our sales engineering team.

You might wonder "sales...what?" so let me explain.

We build a cloud platform to make the lives of data engineers and data scientists suck less. A lot of times, as we engage with our customers, we end up helping them get started on a. our platform and b. best practices in data science.

As the 1st data scientist in our sales engineering team, you will get to jump in and work with our customers on their data and help them get most out of their data and Treasure Data's platform.

See job descriptions for data sci and engineer here: https://gist.github.com/andrewmusselman/91699ddbbb70fb7aabb1

Work across all industries on real problems, contribute to the field by donating time to open source projects, and build internal tools on a great team!

Getting People Jobs Since 2005!

Since 2005, we’ve helped more than 10,000,000 folks from all over America (and beyond!) discover their career path, build stronger resumes, interview with confidence, and boost their chances of finding the right job in less time.

As the newest addition to our existing Data Science team, you’ll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You’ll use our vast user data sets to enhance our current products and to help us to build new products.

Ufora is setting out to build the next revolution in data science platforms. Imagine working in a flexible environment like you do today, and seamlessly scaling your workload from 1 machine to 20, allowing you to work with 100GB of data the same way you would with just 100 rows.

We're solving some of the hardest problems in computer science, and need your help to do it:

SEEKING C++ Engineer: - 3 or more years of professional C++ software development experience.

  - Experience working independently within large and complex code bases.

  - Strong command of modern C++, STL, and Boost.

  - Ease with multithreaded programming: locks, memory barriers, atomic operations, etc.

  - PREF: Background in parallel architectures, highly scalable distributed systems, etc.

  - PREF: Familiarity with Python and functional languages such as OCaml, Haskell, Scala, etc.

  - Experience with a (relatively) modern front-end toolchain: grunt, bower, etc.

  - Experience with visualization libraries like d3.js a plus.

  - PREF: Experience with Angular.js, node.js, jQuery, etc.

  - PREF: Interested in Data Visualization

Job details and application are here:

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 gSchool. 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.

The New York Times is a technology company committed to producing the world's most reliable and highest quality journalism. Our ability to do so relies on a growing, talented team of expert technologists who learn from a tremendous abundance of data unique to this company. As well-documented in the 2014 New York Times Innovation Report, a core function of learning from our data is "the art and science" of understanding and developing our audience, particularly across new digital platforms and products.

Currently we are hiring people with experience in (1) machine learning methods and the data engineering necessary to build predictive, interpretable machine learning methods (2) deploying these methods for use as scalable usable data products.

Hinge is a dating app that uses data science to predict who you'll fall for. We're looking for a big-picture person to make a difference on a small team; someone who doesn't mind getting his or her hands dirty with Python, MongoDB, SQL, graph databases, AWS, shell, and the plumbing to connect them all into a live production system. Predicting love is a challenge, but connecting real people on an app your friends are using is very rewarding.

The main components of the job are:

* Improving the quality and performance of our production match recommender system (Python, machine learning, graph databases, Big Data!)

* "Data warehousing" all the things (ETL, SQL)

* Dashboarding and ad-hoc analyses (SQL, Python, web)

* General data-driven product development and growth

You get to work with one data scientist, a half-dozen engineers, and a lovely office of ~20 in Flatiron. Good people, benefits, catered lunches 2x a week, team field trips, challenging and meaningful work, and that warm fuzzy feeling.

http://www.kaggle.com/jobs/10809/hinge-data-scientist-new-yo...