Manager, Marketing Data Science

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

Asurion is seeking a experienced, proactive and performance-driven Manager, Marketing Advanced Analytics / Satistician to join the team at our Nashville corporate office. The role is part of a growing enterprise consumer marketing analytics team. The candidate will be responsible for applying advanced analytical methodologies and techniques to enhance marketing effectiveness analyses. This individual must have strong statistical knowledge combined with problem solving skills that have previously been applied to digital and/or consumer marketing fields. Success in this role further requires strong communication skills, initiative and demonstrated experience working with cross-functional teams. This is a high visibility/high impact role which will be able to directly influence company level goals & metrics.

Essential Duties and Responsibilities:

• Work with members of our marketing teams to improve our marketing efficiency and effectiveness
• Build and enhance media mix models to to optimize online/offline acquisition channels and update our media attribution processes for the omni-channel experience, as well as communicating and educating the team on the model outcome
• Develop optimization and simulation algorithms scenarios to help provide the marketing investment and allocation recommendations to stakeholders
• Design various experimental testing based campaigns and develop statistically sound models to measure measure effectiveness of such campaigns in order to continually learn from the tests
• Produce succinct readouts highlighting results and key learnings of digital programs using a combination of business intelligence tools (e.g., Power BI and/or Tableau)
• Mine large datasets to generate actionable insights across platforms including Web analytics, Demand-side Platforms (DSPs) , Web sites/apps, CRM, etc.
• Prioritize multiple requests and set expectations with stakeholders as appropriate.

What You’ll Bring to The Team:

• Bachelor’s Degree in Applied Mathematics, Economics, Statistics or a related quantitative field
• 4+ years of professional experience in relevant field of work (analytics, performance marketing, statistical modeling etc.)
• Proficiency with data mining, experimental design and statistical analysis techniques (e.g., regression, classification, clustering, and forecasting/sensitivity analysis)
• Strong understanding of marketing analytics, with domain knowledge and familiarity working with different marketing channels, platforms, and tools
• Proficiency with SQL and Python/R required
• Familiarity with BI tools (Power BI preferred)
• Experience working within cloud computing environments such as AWS, Azure, Big Query
• Strong verbal and written communication with ability to work collaboratively with key stakeholders as well as communicate to a C-suite audience
• Comfort working in a dynamic environment with several ongoing concurrent projects
• Experience with building end-to-end pipelines and putting models in production

Why Asurion?
Simply put, Asurion helps people stay connected. We are a privately held company which enables us to focus on long term customer and client value. We provide over 290 million consumers around the world with simple, intuitive technology advice to help them get the most from their devices; support to fix their issues and connectivity crisis, and device protection to ensure they receive a replacement or repair. When a product is missing or simply doesn't work properly, Asurion’s 17,000 employees are focused on solving the problem with people and processes operating 24 hours a day, seven days a week, speaking six languages, and working across any device, platform, or provider. By partnering with leading retailers, mobile carriers and pay-tv providers, Asurion helps make customers lives a little easier and their technology a lot more amazing.