What You'll Do
- Partner with business partners to understand problems space and reframe them as data science solutions end-to-end.
- Deliver challenging, large-scale problems with complexity and ambiguity independently
- Write code (Python, R, SQL, etc.) to obtain, manipulate, and analyze large datasets
- Build statistical models and design experiments to solve applicable business problems
- Communicate data-driven insights and recommendations to key partners
- Work closely with a cross-functional team of economists, engineers, product owners, and business decisions makers
- Prioritize business solutions, regardless of product area
Who You Are
- You have 5 or more years of experience in a similar data science role and a degree in economics, statistics, or similar quantitative subject areas
- You are comfortable building and maintaining large, complex datasets
- You have the technical competence to perform more advanced analytics using your coding skills for analytics and data extraction (such as SQL, Python, R)
- You have experience in causal inference and experimental design
- Broad knowledge of ML methods, statistical analysis, and problem-solving skills
- You have experience taking a project idea and bringing it to life through self-driven scoping, planning, and stakeholder communication
- You have built statistical models with proven business impact
- You can explain complex concepts to non-technical stakeholders and conduct nuanced discussions with engineers
- Ability to collaborate with DEs, MLEs, and Research Scientists
- Experience with LLMs
- Bonus if you have experience analyzing ad creatives or ad tech
Where You'll Be
- We offer you the flexibility to work where you work best! For this role, you can be within the Americas region as long as we have a work location.
- This team operates within the Eastern time zone for collaboration.
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