Dstillery: Data Scientist

Dstillery is a tech pioneer that uses sophisticated analytics and data-based insights to help advertisers realize the potential of digital media.

Dstillery Company: Dstillery
Location: New York, NY
Web: www.dstillery.com

Apply online here .

Would you like to be a key member of a world class Data Science team?

Dstillery is a New York-based tech pioneer that utilizes sophisticated analytics and data-based insights to help advertisers realize the potential opportunities arising with the growth of digital media in all its forms. We provide marketers with a new breed of targeting by applying predictive modeling to dramatically raise the effectiveness of online marketing efforts.

Statistical analysis and learning technologies are central to our business, and due to our successful growth we have created several openings for applied statisticians with strong computer science backgrounds and experience with predictive modeling for real-world applications with very large volumes of data.

  • Work with team to build new, and implement current, methods for detecting programmatic advertising fraud.
  • Evaluate the value of potential new data sources to help guide future data and product strategy.
  • Assist in the development of core technologies
  • Design and execute experiments and other analyses
  • Work directly with software engineers who will implement the technologies to effectively transition the results of your efforts from research to production.

In addition, the position will work closely with the business development team on the presentation of results and generally work to reinforce our culture of excellence driven by data analytics.

The following are required in order to be considered for the position:
  • Masters or Ph.D. in Computer Science, Mathematics, Statistics or equivalent
  • Working knowledge of relational databases and SQL
  • Experience with classic applied statistics (linear models, logistic regression, hypothesis testing, sampling)
  • Demonstrated ability to use data both creatively and practically
  • Clear thinker with the ability to effectively communicate concepts, both verbally and in writing, to technical and non-technical audiences
  • Demonstrated ability to work effectively in a dynamic, collaborative environment

Strongly Preferred:
  • Experience building and evaluating statistical predictive models
  • Experience with visualizing and presenting analytical results graphically
  • Some programming and/or scripting experience
  • Ability to quickly prototype new ideas
  • Experience manipulating massive data sets using the Map/Reduce or similar paradigm with hands-on Hadoop experience a major plus