The Difference You Will Make:
For this role, we’re seeking a causal inference expert to join the Customer Support Data Science team, and have a direct opportunity to contribute, influence, and lead in the CS Personalization space by designing scalable scientific solutions for problems like:
- Identifying segments of users with unique CS needs
- Estimating the impact of changing the CS experience for those groups of users
- Find causal relationships between a customer’s CS experience and long term loyalty
- Provide strategic insights around tradeoffs between CS quality and cost to empower us to offer the best possible CS experience to our customers
A Typical Day:
- Execute on a CS segmentation roadmap including data exploration and model prototyping
- Work collaboratively with cross functional partners including software engineers, product managers, operations and research, to refine requirements for segmentation models, drive scientific decisions, and quantify impact
- Productionize, and operate causal models and pipelines at scale
- Design and analyze experiments to measure the effectiveness feature launches
- Regularly present work internally at monthly meetings to technical, engineering and product stakeholders to iterate and generate excitement on roadmap progress
Your Expertise:
- 4+ years of relevant industry experience (e.g. data scientist, tech lead, junior faculty) and a Master’s degree or PhD in relevant fields
- Strong fluency in Python, SQL, and statistical programming such as R
- Familiarity with causal inference and experimentation and a desire to continue to learn
- Proven ability to communicate clearly and effectively to audiences of varying technical levels
- Proven mix of strong intellectual curiosity with high level of pragmatism and engagement with the technical community.
Preferred Expertise:
- Experience in operational research or personalized marketing models a plus
How We'll Take Care of You:
Pay Range
$170,000 USD
Offices: United States