Data Scientist edo Interactive.com
THIS JOB HAS EXPIRED
About edo
Mission: To transform shopping & saving
Consumers love trying new things and saving money. But the world of saving is cluttered and impersonal ?from coupons to daily deals to mobile wallet technology -- deals lack relevancy and redemption takes a lot of work for both consumers and merchants.
edo provides an easy way to personalize offers and make them automatically available through credit or debit cards and mobile devices. Simply put, edo is the simplest way to connect online advertising with in-store results.
Through our card-linked offer platform, edo Marketplace, edo brings unmatched insight and clarity into consumer spending behavior. This helps marketers, merchants & banks increase loyalty and target new customers with instantly redeemable offers tailored to individual shopping habits.
More about edo:
http://bit.ly/videdomm
Coverage from TechCrunch - The Anti-Groupon:
http://tcrn.ch/tcrjobedo
Success at edo requires the following personal attributes:
You have a passion for digital marketing, payments innovation & start-up culture.
You thrive in fast-paced environments, are flexible and able to roll with changing scenarios.
You?re a change agent: see ?ambiguity? as an opportunity as opposed to a hurdle, thrive on challenging yourself to push beyond conventional thinking.
You?re a problem solver: make things happen & work well with others to build constructive & effective relationships
You seek initiative: volunteer readily; undertake self-development activities; seek increased responsibilities; takes independent actions and calculated risks.
You?re detail-oriented, someone who rolls up their sleeves and gets the job done.
You have the intellectual curiosity to surface insights & implications and use this knowledge to think creatively about solutions.
Team Responsibilities:
The Delivery and Analytics Team is responsible for a critical component of edo?s value proposition. We provide pre-sales support and post-campaign analytics to our Ad Sales team. We are responsible for offer targeting to those cardholders most likely to redeem offers, offer optimization and the end-to-end campaign management process.
Job Responsibilities: Data Scientist, Delivery Analytics
Design and develop predictive mathematical and statistical models for the optimization of offer construct, offer targeting and offer delivery within edo?s advertising engine
Research new algorithms and methods for optimizing ads quality and revenue
Research new ways for modeling end-user behavior; modeling includes data collection, organization, advanced statistical analysis and predictive solutions, text and data mining
Extract patterns from large transaction and consumer behavior datasets and transform data into an informational advantage for decision support
Derive the metrics/KPI?s from which edo is benchmarking performance
Job Requirements:
5+ years ?real world? Big Data/Analytics experience; preferably in a start-up environment
Machine Learning experience; familiarity with R and Hadoop preferred
Experience in supervised and unsupervised learning
Experience in Bayesian techniques
Experience with sparse data/rare event modeling preferred
An advanced degree in Computer Science, Artificial Intelligence, or related field
The ability to thrive in fast-paced environments, and is flexible and able to handle rapidly-changing scenarios; sees ?ambiguity? as an opportunity rather than a hurdle
A willingness to seek initiative, undertake self-development activities, and seeks increased responsibilities
Outstanding communication skills, including proven experience in making complex subject matter accessible to a broader audience
Intellectual Curiosity ? a willingness to work outside the strict job description parameters, thinking creatively about how to provide the highest level of service
An unyielding team-first mentality, with a willingness to ?lean in? in a start-up environment
For the right candidate edo offers
A dynamic, entrepreneurial culture
Competitive compensation & benefits
Equity
| Location: |
Nashville, TN
United States
|
THIS JOB HAS EXPIRED