Support Center - Irving
The Manager - Data Science role is critical in helping to determine which CRM tactics most effectively drive long-term value with our customers. The ideal candidate will creatively apply advanced analytic techniques, ranging from DOE to predictive models and machine learning, that will both articulate business impact and optimize marketing spend. Clear communication of complex analyses and the ability to tell a story with data are critical to succeed in this role.
Major Activities- Strategic Thought Leadership
- Design and execute analytics projects to quantify impact from various marketing campaigns
- Work with business partners to identify the challenges that needs to be quantified
- Act as subject matter expert for all projects in which involved
Data Analytics- Mine extensive database in support of business insights and measurement
- Develop well-thought, actionable insights using advanced analytics techniques
- Determine best approach for each analysis and articulate pros/cons of methodology
- Ensure quality of data used in analysis and all presentation material
- Effectively manage multiple projects simultaneously, from long-term projects to shorter, ad-hoc projects
- Automate standard deliverables and reduce repetitive processes for self and team
Business Insights & Cross Functional Partnerships- Manage internal client relationships and serve as the SME for analytics within the CRM function
- Tell a story with data: gain buy-in from partners through the development and communication of compelling, easily understood analytics presentations
- Provide strategic recommendations based on analyses tied to the organization's goals that will drive business results
- Effectively communicate with analytics team members and business partners with varying levels of understanding regarding analytics discipline
Staff Management & Development- Manage a team of data scientists
- Mentor analysts regarding analytics best practices, methodologies, and programming techniques
- Develop objective staff development strategies, effectively growing the capability sets of team and guiding analysts on their career advancement
Other duties as assignedMinimum Knowledge/Skills/AbilitiesMinimum Education- Bachelor's degree in relevant quantitative field required, Master's preferred
Minimum Special Certifications or technical skills- Fluent in data fundamentals: SQL, data manipulation using a procedural language (R, Python), statistics, experimentation, and modeling
- Proven track record of using data to provide actionable business results
Minimum Type of experience the job requires- A minimum of 5 years of relevant work experience in data science for a consumer centric company
- Proven experience partnering with business decision makers on advanced analytics topics
- Expert-level experience with a wide range of quantitative methods that can be applied to business problems. This includes knowledge of modeling techniques and statistical concepts
Other- Work as a self-starter, not waiting for direction from senior leadership
Preferred Education- Advanced degree preferred in an analytical field (e.g. Statistics, Economics, Applied Math, Operations Research, Physics, Data Science fields)
Applicants in the U.S. must satisfy federal, state, and local legal requirements of the job. 
