Sr. Director, Data & Data Science - RetailMeNot

Engineering Austin, Texas Remote - United States


Sr. Director, Data & Data Science, RetailMeNot

The Ziff Media Group portfolio of brands includes, Mashable, RetailMeNot and Ziff Media Group helps advertisers meet their objectives through a performance oriented approach that merges the benefits of a qualified audience, trusted expertise and extensive scale resulting in over $4.5B in sales revenue in 2020.

We are looking for a Sr. Director of Engineering to join us leading our Data and Data Science teams at ZMG/Retailmenot. We help over 60+ million monthly visitors save money and discover excellent deals at their favorite retailers. The Data and Data Science teams are important to delivering this experience.

The Data Team handles the datasets, services, tools, platforms, and APIs that seek exciting problems and modernize access to data across the company. Our infrastructure ingests over 100GB per day of click stream and transactional events to build billion-row terabyte-scale datasets. We use technologies such as AWS Lambda, Snowflake, Kinesis, ElasticSearch, Redshift, RDS, EMR, AWS Batch, Elastic Beanstalk, Cloud Formation, Docker, Python, and Java to build our data infrastructure.

The Data Science team is responsible for applying data science using our substantial datasets to deliver more savings opportunities to consumers and more value for our retail partners. They collaborate with a multidisciplinary team of data scientists, software engineers, data engineers, business analysts, product managers, and other internal customers to find the best opportunities to apply data science in ZMG’s businesses.

Who You Are:

  • You are an engineering leader that loves data and is eager to develop your team to use data to its fullest.
  • You are a technologist and have hands-on experience building data solutions at large scale
  • You're a leader who cares about your team members and invests in their growth. 
  • You have a bachelor’s degree in computer science, statistics, applied mathematics, or related quantitative field or equivalent self-study as well as a strong analytical background
  • You have Eight plus (8+) years of validated experience in data engineering and/or data science 
  • You have Four plus (4+) years of confirmed ability in engineering/data leadership
  • You are passionate about building and mentoring robust engineering teams
  • You are familiar with key elements of the data science ecosystem
  • You have experience querying relational databases and independently working with and exploring data
  • You apply a pragmatic approach to problem solving, establishing conceptual connections to data sources, understanding relationships among data, and comfort with uncertainties/approximations
  • You have extraordinary communication and partnership skills

What You'll Do:

  • Encourage, lead, and develop teams of software engineers and data scientists who are building innovative solutions that will improve how consumers save money when shopping
  • Mentor managers and individuals and guide them to achieve their career goals
  • Define organizational OKRs with Product and other partners and goals for the engineering team
  • Implement reliable and efficient processes to accelerate development and improve quality
  • Guide the technical direction and scaling efforts
  • Foster a culture of continuous improvement through mentoring, feedback, and metrics

Who We Are

  • ZMG offers an excellent work-from-home opportunity with the potential to return to office in the future! More details to come on that!
  • We have an open environment where engineers are given a lot of responsibility and the freedom to make a huge impact!
  • We have lots of smart people to work with and learn from
  • We work on large scale challenges with a variety of technologies
  • We have a great open vacation policy!
This is a remote/office based position which may be performed anywhere in the United States except for within the state of Colorado.