Director of Data Science

Imagitas, owned by Red Ventures, helps the United States Postal Service produce, distribute and facilitate the official change of address. We also help consumers save money when they move. Our suite of direct mail and digital products makes it easy for marketers to send relevant offers to this valuable audience of moving consumers.

The Director of Data Science will be responsible for contributing to ongoing data science efforts, growing and scaling the data science team, and identifying significant business opportunities where data science can help. You’ll help us better leverage our full funnel of data to optimize our existing businesses, guide decisions, and set a data science strategy that will secure our position not just as a partner to clients but as a leader in the industry as a whole. Red Ventures is a highly collaborative, fast-paced, results-driven atmosphere, which means you’ll also be counted on to mentor and guide less experienced data science analysts and serve as a business interface for the data science team by working with business teams to identify potential opportunities and to report progress on initiatives. And, just in case that didn’t sound like enough fun, we’ll also expect you to dive into our entire business model, creating and expanding expertise in digital marketing and customer acquisition so that you can continue to maximize the impact of Data Science at Red Ventures. **What’s in it for you:** * Assist in creating and driving the vision, strategy, and implementation of the company-wide data science group. * Work with experienced data scientists to solve business critical problems inside a company that has a strong culture of measurement, testing, and optimization across all facets of its marketing and customer acquisition activities. * See your contributions make a material impact to a business.

The Director of Data Science will own all facets of projects including mining existing data, prototyping solutions, deploying in production, and monitoring performance. Minimum skill requirements are as follows: * 1+ year mentoring other data scientists * Proficient at collecting and mining data from different sources using technologies like SQL, Pig, Cassandra, and HBase * Expert at analyzing data and building predictive models inside a statistical computing environment (e.g., R, SPSS, Matlab, Octave) * Experience with deploying data science solutions in a production environment, especially in near real-time settings * Analytical and detail oriented with the ability to prioritize, execute and deliver projects on time * 3+ years of experience with a high level programming language (e.g., Java, Python, C/C++ * Comfortable acting as a liaison between business, data science, and engineering to see projects completed and used * Self-motivated and creative problem-solver * Must be comfortable with unstructured, fast moving and constantly evolving high growth environment. **Bonus:** * Experience with data visualization and data visualization tools * Hadoop/Spark * Refined written and verbal communication skills that enable effective communication to multiple, often non-technical, audiences. * Experience and expertise with internet marketing data collection and metrics is preferred.