Hey, this is Cam Davidson-Pilon from Shopify's Data team. I'm building a small team around using data to optimize our 200k+ ecommerce stores. Our first objective is to create data products around growth hacking and marketing solutions. If have some of the following skills, I want to chat!

- programming knowledge in Python

- experience with data analysis and data science

- experience with some web technologies

- experience with Spark/PySpark

- experience with SEO, SEM, or other marketing strategies

Affinio analyzes complex network graphs to come up with concepts like influence, trends, and density for groups on social networks. If you love working with clustering algorithms and graph data sets, we'd love to talk to you.

The iHeartRadio app is currently sitting at 80 million registered users across mobile, web, home, and automotive apps. We have a lot of data problems and are looking to bring aboard another great data engineer (bringing our total to five).

If you apply below, make sure to drop me a line at [email protected].

DataCamp in a nutshell: DataCamp is an online data science school, focused on learning by doing. We have grown to ~ 280k students, further growing at multiple thousands each week. What’s really great is that they have already completed over 10.5 million exercises on the platform. That has drawn the attention of multiple partners and influential people in the data science and online education community such as Coursera, Edx, Microsoft, RStudio, etc.

Jobr is the leading mobile-first jobs application combining a Tinder-style interface with a Pandora-like recommendation engine. We were founded over a year ago, and all key metrics continue to grow 50-100% MoM. We’ve raised $2M in funding from a group of strategic investors and advisors including Lowercase Capital, Workday, the Tinder founders, Redpoint Ventures, Lerer Ventures, and Eniac Ventures. Our platform now has over 1M jobs across virtually every industry and covers the entire US and Canada, and we’re planning to expand further later this year.

We’re looking for a hungry, analytical Data Scientist to help us continue to move quickly and scale engineering operations.

* All major systems are written in Go, accessing data in MySQL with a Redis layer * Redis MQ for message queueing * Scala data processing on Spark * Job search via Elastic on Found * Mixpanel and Periscope for tracking (track everything) * Table tennis - for stress relief and friendly competition

We're on a mission to know everything about every single property for sale and every single serious home buyer.

CURRENTLY IN THE WORKS

* A CV model built in Caffe with GoogLeNet classifying property photos into room types at 90% accuracy. * Utilizing Open Street Map data for geocoding and geo scoring ("near Whole Foods", "walk score", "family score", etc) * Scaling our data feed integrations from 10 to 100 * Clustering home buyers with a corpus of 25 million home buyer activity events

A LITTLE ABOUT US

We're on the way to Series B being previously backed by Joe Lonsdale (Palantir founder), Ken DeLeon (2012's #1 Realtor) and several others ($7m to date). The number of home purchases powered by RealScout tripled in 2015 and our user base has grown 400% since July.

If you're interested working with large and robust data to help agents change the way they use technology to sell more homes, feel free to reach me at chris (at) realscout.com.

Looking for a software engineer to develop standardized, scalable, scientific computing environments with Docker; develop packages to help our analysts connect to various data sources and streamline their workflows; and deploy models and reports into production.

If you are interested in full-time positions, send me your resume at [email protected]

We are seeking an exceptional data visualization lead to craft complex and inspiring visualizations that help our data scientists deliver information back to the enterprise with impact and influence. Additionally, this team member will own our existing visualization infrastructure and frameworks and help to build out an automated dash boarding pipeline. These visualizations will tell stories about fraud, risk, consumer preferences, and investment performance, among many others. We use web-based, open source tools and systems and encourage members of our team to contribute back to the community. This is a broad, new role that will fundamentally change the way MassMutual consumes, interprets, and acts on visual information.

Our Data Science team:

In this role, you will join a diverse, collaborative and ever-growing data science team. You will work alongside highly-skilled practitioners, including a master-class Kaggle competitor, a member of the Apache Software Foundation, and nationally recognized data science thought leaders (with coverage in WSJ, HBR, and many others). You will deliver intellectual capital and solutions that enable our clients to derive the maximum value from their data while solving solve our client’s most pressing business needs.

More info: www.boozallen.com/datascience

Qualifications Basic Qualifications: -2 years of experience with advanced data analytic techniques, including data mining, machine learning, statistical analysis, and Natural Language Processing -1 year of experience with programming in an object-oriented programming language, including Java or Python -Experience in working with massive data sets, including structured and structured with at least 1 prior engagement involving data gathering, data cleaning, data mining, and data visualization -Ability to show a proven track record of weaving data and analysis into a compelling format that is client- and solutions-driven and easily digestible resulting in client approval -Ability to obtain a security clearance -BA or BS degree

Sentenai connects autonomous intelligent systems with the data they need to make better decisions on the ground. We're hiring a Machine Learning engineer to help optimize our unsupervised stream structure prediction system that is a critical component of our data delivery network.

- Haskell experience required.

- Distributed systems knowledge a plus.

Digital H2O, a water-focused SaaS company, is looking for talented software engineers to join our Data Platform team in building products to solve the challenge of sustainably managing, monitoring, and forecasting water supply and demand in cost-effective ways.

Digital H2O offers an agile work environment where you can have a large impact on the direction and success of the company. As a Senior Software Engineer you are given the opportunity to own products and features from start to finish, design to delivery, using the best tools for the job at hand. In return we offer a competitive salary, full health benefits, 401K matching, annual bonuses, relocation assistance, a generous paid vacation policy, and more.

There are many products a Senior Software Engineer has the opportunity to help us build, including:

  - Our water market intelligence platform using Python, MongoDB, Pandas, AWS, and more to build a comprehensive view into the world of water demand and supply
  - Water forecasting and modeling analytics using Python, Scikit-Learn, and proprietary machine learning techniques
  - Customer-facing Data APIs powered by NodeJS, Python, PostgreSQL, and AWS
  - Platform designed for receiving and analyzing real-time industrial water data from  field deployed remote monitoring sensors
  - New products from the ground up

  - Significant software development experience and language familiarity (Python is our primary language but we believe talented engineers can quickly learn new languages)
  - Comfort and familiarity with at least one SQL or NoSQL database
  - Experience with developing and consuming web services and SaaS products
  - Strong collaboration and communication skills to work in a fast-paced, entrepreneurial environment

  - 3+ years professional experience
  - Experience scaling data and infrastructure to one, to ten, to hundreds of terabytes, and beyond
  - Familiarity with Amazon AWS
  - A love of Pandas, NumPy and other Python data packages
  - A degree in computer science, statistics, environmental science, or related STEM field
  - An ambition for solving complex problems while working both autonomously and with a team

Urban Institute is one of the largest public policy think tanks in the US, and is certainly the most data driven. We are hiring a research programmer to work on computational models of social science. Experience with Java, C++, or Fortan for data engineering is required, and having some data science or analysis skill on top of that would be great. It's a wonderful and flexible life-work balance, doing work that really matters with a team using cutting edge tools (docker deployments, D3 for data viz, spark environments, etc).

Instacart is powered by data. We are creating the best way for people to shop for groceries by applying data, algorithms and machine learning to problems in logistics, retail, personalization, search and more. Our data science team is at the heart of this effort and is an essential ingredient in Instacart's aggressive growth plan and vision for the future.

Help us build the world's deepest knowledge graph, extract new insights from our datasets, and present those insights in a clear and intuitive manner to our users.

We're looking for great engineers who are passionate about making sense of data.

More details: https://jobs.lever.co/graphiq/77b1b20d-b906-45bb-88c0-332d77...

We are a cross-disciplinary team applying machine learning, software engineering and rigorous scientific investigation to revamp the lending and securitization space. This is one of finance’s least sexy areas, but is a multi-trillion dollar market- and it’s where the financial crisis started. Bad technology was a major cause, and even after almost 10 years, no one has fixed it.

We have over $100mn in committed capital, and are growing by 10% month over month.

We're looking to hire machine learning software engineers and researchers.