Details
| Posted On: | Tuesday, Jan 22 |
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| Permalink: | http://gary.to/gzra9av |
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Company
| SumAll |
| SumAll is an early stage startup whose vision is to help people make better decisions with data. We’re creating an interactive tool that anyone can use to easily and quickly figure out what's happening and what they should do. Our initial focus is on small and medium sized business (SMBs) that want to explore their data to improve sales like bigger companies can. Longer term, we want to create products and services that allow people to ask the right questions, find answers and act upon them by leveraging any kind of data in their lives.
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Job Description
What you’ll do
As a Data Engineer you will be part of the Data Products group. You will be working closely with other Data Scientists, Integration Engineers, Product Engineers, and Designers to help develop our flagship analytics application. Your main responsibility will be to help develop software and systems to mine data for trends, patterns and insights that can be delivered to our users. Day to day, you will work closely with engineers to extend our platform, implement algorithms, and create tools to support our analytical experiments and processes. You should be comfortable working with Java, various types of databases, query languages, as well as large and diverse data sets. This is a mid to senior level engineering position based in New York City.
Things you might work on
Extend and scale SumAll's data processing and analytics pipeline.
Create algorithms to autmatically clean, organize and reshape large amounts of data
Create custom indexes and data models to optimize query workloads
Create algorithms to automate forecasting, predictive analytics, and indexing for large data sets.
Collaborate with engineering, design and data science teams to shape and drive tactical and strategic development of SumAll data infrastructure, reporting and analytical applications.
The Minimum Bar
BS/MS/PhD in Computer Science. (In lieu of advanced degrees, 3+ years of relevant work experience).
More kudos to you if you have
At least 3 years of experience with high volume data environments, preferably in the software, internet, or finance industry. Graduate work or degree in computer science, applied math or engineering a plus.
Experience writing production quality software in quantitative fields such as data mining, machine learning, NLP, bioinformatics, graphics, physics or finance.
Comfortable with math, statistics and algorithm optimization.
Experience with R, MongoDB, SQL, Pig, Hive and various DBMS architectures.
Demonstrated experience developing and shipping software in a startup environment.
Flexible, adaptive, quick learner - work well in a collaborative startup environment.
About SumAll
SumAll is an early stage startup whose vision is to help people make better decisions with data. We’re creating an interactive tool that anyone can use to easily and quickly figure out what's happening and what they should do. Our initial focus is on small and medium sized business (SMBs) that want to explore their data to improve sales like bigger companies can. Longer term, we want to create products and services that allow people to ask the right questions, find answers and act upon them by leveraging any kind of data in their lives.
We’re backed by established venture capital firms Battery, Matrix, General Catalyst, and Wellington.
Our Team
Founded in 2011, we are a group of experienced entrepreneurs, engineers and designers. Between us we started a few companies, have a few commercial web products under our belt and have a deep understanding of usability, engineering, analytics and big data. We’ve worked for big companies like Google, Gilt, Reuters, iStockPhoto and New York Times and smaller ones too. We are passionate, dedicated and motivated to build a disruptive technology that will change how people use data and see the world around them.
The Fun Stuff & Benefits
We are intensely focused on building a fun, diverse and balanced culture. Stock options, 401k, health insurance, catered lunch, snack bar, happy hour Fridays are standard. Video game battles on occasion after lunch. =) |
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