A leading global payments platform in San Francisco seeks an experienced data professional to partner with regional executives, leveraging causal inference methods and data architecture technologies. The role demands a PhD or MS in a quantitative field and at least 7 years of industry experience. You will lead forecasting efforts and mentor junior members within a rapidly growing data science team. This is a unique opportunity to shape the future of financial technology in a collaborative environment.
Qualifications
7+ years of industry experience required.
Proven track record of influencing executive-level strategy.
Expertise in forecasting and causal methods.
Responsibilities
Partner with regional executives as a data go-to.
Utilize methods to evaluate macroeconomic impact.
Lead forecasting efforts with advanced statistical methods.
Skills
Causal inference methods
Forecasting
Data querying languages (e.g. SQL)
Scripting languages (e.g. Python, R)
Communication skills
Education
PhD or MS in a quantitative field
Tools
Airflow
Databricks
dbt
Job description
A leading global payments platform in San Francisco seeks an experienced data professional to partner with regional executives, leveraging causal inference methods and data architecture technologies. The role demands a PhD or MS in a quantitative field and at least 7 years of industry experience. You will lead forecasting efforts and mentor junior members within a rapidly growing data science team. This is a unique opportunity to shape the future of financial technology in a collaborative environment.