The Marketing Analytics team is looking for a Manager 2, of Data Science to lead a team responsible for developing and utilizing data to drive insights and decisions for the Marketing function.
Requirements
- Strong background in statistical analysis, programming, and experimentation.
- Proven ability to apply scientific methods to solve real-world problems on web-scale data.
- Expertise in at least one scripting language (ideally Python/R), with experience building models in either language
- Proficiency in SQL and Hive.
- Experience in querying and manipulating large data sets.
- Ability to make tradeoffs between speed and accuracy wisely
- Apply expertise in data mining and data presentation, as well as knowledge of marketing channels and platforms, to identify opportunities.
Responsibilities
- Develop data-driven insights to drive marketing decisions and improve business outcomes.
- Utilize models and develop advanced experimentation methods, such as synthetic controls, propensity score matching techniques etc. to measure marketing's impact across our suite of products.
- Utilize time-series forecasting models to predict growth and set the right growth goals, and develop frameworks to implement marketing attribution models.
- Design, launch, and analyze experiments to understand the incrementality of different messaging and creative campaigns.
- Design measurement approach and identify flaws in experiment practices and results, especially in 3P environments
- Manage data integration and engineering with marketing technology platforms for data hygiene, segmentation, and targeting.
- Manage operational effectiveness of the data mining, statistical analysis, and predictive modeling programming activities.
Other
- Build and lead a team of analysts and data scientists, providing leadership, direction, and guidance.
- Collaborate with marketing, product, and engineering teams to identify insights and guide new campaign and growth roadmaps.
- Partner with cross-functional teams to initiate, lead, or contribute to large-scale/complex strategic projects
- Act as a thought partner to senior leaders to prioritize/scope projects, provide recommendations, and evangelize data-driven business decisions in support of strategic goals.
- Provide technical guidance and mentorship to junior team members on solution design as well as lead code/design reviews.
