Data Mining / Analyst Manager Decide
Are you interested in becoming the Nate Silver of shopping? Are you interested in having your insights disseminated across organizations like the Wall Street Journal or New York Times. If so, then decide.com has the job for you.
We're creating a unique data scientist position that sits at the intersection of science, engineering, marketing, and journalism. Your primary focus will be to help build decide's brand as the leader in the science of shopping. You will do this by extracting, scrubbing, exploring, and interpreting vast quantities of pricing and product data that we've collected over the years. In conjunction with our marketing team, you will be responsible for communicating and visualizing actionable insight that will help consumers make the right purchasing decisions, and save money while doing so. In additional, you will also work closely with the rest of decide's data science team in applying your findings to improve our core products and underlying algorithms.
3+ years working experience
Background in statistics, economics, math, computer science or other quantitative field
Technical skills (python or other scripting language, sql, hadoop)
Familiarity with Unix-like environment and tools
Strong communication and writing skills
Experience with AWS (or willingness to learn)
Expertise in Machine learning, information retrieval or related field (not required by preferred)
Java, scala (not required but preferred)
About the company
Decide is a team of 30 (and growing) technologists committed to providing objective, data-driven shopping advice. We take pride in being an unbiased shopping adviser, never taking money to recommend products. Our technology helps consumers find the highest rated products and predicts the best time to buy using billions of historical and real-time price points from hundreds of online retailers.
The company was co-founded by Internet search pioneer Prof. Oren Etzioni, founder of Farecast, the travel price predictor, and Netbot, the web's first comparison-shopping engine. Our investors include Madrona Venture Group and Maveron.
||Seattle, WA |