Applied Scientist

Qualifications:

• Experience building machine learning models or developing algorithms for business application

• Experience with causal inference methods (e.g., A/B testing, difference-in-differences, instrumental variables, propensity scoring, synthetic controls).

• Familiarity with cloud computation (e.g., AWS tools such as S3, SageMaker, EMR, or EC2)

• Experience programming in Python, R, or related language

• Experience building marketing measurement models (MMM, CLV, multi-touch attribution).

• PhD in Statistics, Economics, Computer Science, Machine Learning, Operations Research, or equivalent quantitative field.

Others:

Must be willing to work Onsite and locals are highly preferred.

Looking for candidates who are willing to work on W2 and no sponsorship available.