Staff Applied Scientist - Causal Inference
Coinbase
Staff Applied Scientist - Causal Inference
Job Description
Responsibilities
- Develop and deploy robust causal inference models to quantify the holistic business impact of new product launches (e.g. PSM, Double ML)
- Act as a leader to establish standards for measurement for new product and feature launches
- Provide technical mentorship for other members of the data science organization
- Act as a thought partner for senior leadership to help guide our product development process
Required Qualifications
- PhD or Master’s degree in a quantitative field such as Economics, Statistics with 8+ years of distinguished industry experience
- Strong proficiency in SQL, Python, R, or other programming languages used for data analysis and statistical modeling
- Deep theoretical and applied expertise in a wide range of quasi-experimental methods
- A track record of influencing business and product strategy through data-driven, causal insights, and a proven ability to translate complex technical concepts to non-technical stakeholders
- Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution
Preferred Qualifications
- Experience in the fintech or crypto industries
- Specific experience working pricing models, marketing attribution, or customer LTV modeling
- Familiarity with the unique opportunities and challenges of crypto businesses and blockchain data
Required Skills
- SQL
- Python
- R
- Data analysis
- Statistical modeling
- Quasi-experimental methods
- Causal inference models
- PSM
- Double ML
- Clear communication
- Positive energy
- Continuous learning
- Efficient execution
Benefits
- Bonus eligibility
- Equity eligibility
- Benefits (including medical, dental, vision and 401(k))
Salary Range
$207485 - $275000 USD
Locations
- NAMER, United States (Remote)
Salary
207,485 - 275,000 USD / yearly
Skills Required
- SQLintermediate
- Pythonintermediate
- Rintermediate
- Data analysisintermediate
- Statistical modelingintermediate
- Quasi-experimental methodsintermediate
- Causal inference modelsintermediate
- PSMintermediate
- Double MLintermediate
- Clear communicationintermediate
- Positive energyintermediate
- Continuous learningintermediate
- Efficient executionintermediate
Required Qualifications
- PhD or Master’s degree in a quantitative field such as Economics, Statistics with 8+ years of distinguished industry experience (experience)
- Strong proficiency in SQL, Python, R, or other programming languages used for data analysis and statistical modeling (experience)
- Deep theoretical and applied expertise in a wide range of quasi-experimental methods (experience)
- A track record of influencing business and product strategy through data-driven, causal insights, and a proven ability to translate complex technical concepts to non-technical stakeholders (experience)
- Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution (experience)
Preferred Qualifications
- Experience in the fintech or crypto industries (experience)
- Specific experience working pricing models, marketing attribution, or customer LTV modeling (experience)
- Familiarity with the unique opportunities and challenges of crypto businesses and blockchain data (experience)
Responsibilities
- Develop and deploy robust causal inference models to quantify the holistic business impact of new product launches (e.g. PSM, Double ML)
- Act as a leader to establish standards for measurement for new product and feature launches
- Provide technical mentorship for other members of the data science organization
- Act as a thought partner for senior leadership to help guide our product development process
Benefits
- general: Bonus eligibility
- general: Equity eligibility
- general: Benefits (including medical, dental, vision and 401(k))
Tags & Categories
Staff Applied Scientist - Causal Inference
Coinbase
Staff Applied Scientist - Causal Inference
Job Description
Responsibilities
- Develop and deploy robust causal inference models to quantify the holistic business impact of new product launches (e.g. PSM, Double ML)
- Act as a leader to establish standards for measurement for new product and feature launches
- Provide technical mentorship for other members of the data science organization
- Act as a thought partner for senior leadership to help guide our product development process
Required Qualifications
- PhD or Master’s degree in a quantitative field such as Economics, Statistics with 8+ years of distinguished industry experience
- Strong proficiency in SQL, Python, R, or other programming languages used for data analysis and statistical modeling
- Deep theoretical and applied expertise in a wide range of quasi-experimental methods
- A track record of influencing business and product strategy through data-driven, causal insights, and a proven ability to translate complex technical concepts to non-technical stakeholders
- Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution
Preferred Qualifications
- Experience in the fintech or crypto industries
- Specific experience working pricing models, marketing attribution, or customer LTV modeling
- Familiarity with the unique opportunities and challenges of crypto businesses and blockchain data
Required Skills
- SQL
- Python
- R
- Data analysis
- Statistical modeling
- Quasi-experimental methods
- Causal inference models
- PSM
- Double ML
- Clear communication
- Positive energy
- Continuous learning
- Efficient execution
Benefits
- Bonus eligibility
- Equity eligibility
- Benefits (including medical, dental, vision and 401(k))
Salary Range
$207485 - $275000 USD
Locations
- NAMER, United States (Remote)
Salary
207,485 - 275,000 USD / yearly
Skills Required
- SQLintermediate
- Pythonintermediate
- Rintermediate
- Data analysisintermediate
- Statistical modelingintermediate
- Quasi-experimental methodsintermediate
- Causal inference modelsintermediate
- PSMintermediate
- Double MLintermediate
- Clear communicationintermediate
- Positive energyintermediate
- Continuous learningintermediate
- Efficient executionintermediate
Required Qualifications
- PhD or Master’s degree in a quantitative field such as Economics, Statistics with 8+ years of distinguished industry experience (experience)
- Strong proficiency in SQL, Python, R, or other programming languages used for data analysis and statistical modeling (experience)
- Deep theoretical and applied expertise in a wide range of quasi-experimental methods (experience)
- A track record of influencing business and product strategy through data-driven, causal insights, and a proven ability to translate complex technical concepts to non-technical stakeholders (experience)
- Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution (experience)
Preferred Qualifications
- Experience in the fintech or crypto industries (experience)
- Specific experience working pricing models, marketing attribution, or customer LTV modeling (experience)
- Familiarity with the unique opportunities and challenges of crypto businesses and blockchain data (experience)
Responsibilities
- Develop and deploy robust causal inference models to quantify the holistic business impact of new product launches (e.g. PSM, Double ML)
- Act as a leader to establish standards for measurement for new product and feature launches
- Provide technical mentorship for other members of the data science organization
- Act as a thought partner for senior leadership to help guide our product development process
Benefits
- general: Bonus eligibility
- general: Equity eligibility
- general: Benefits (including medical, dental, vision and 401(k))
Tags & Categories