Senior Data Scientist - Product
Coinbase
Senior Data Scientist - Product
Job Description
Responsibilities
- Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team’s decision making
- Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations
- Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs
- Maintain a high bar for statistical rigor on your team. Ensure that we’re conducting experimentation and causal analyses that build confidence with your stakeholders
Required Qualifications
- A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with ≥3+ years of relevant experience
- Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces
- Ability to influence external stakeholders by synthesizing data learnings into compelling stories
- Practical expertise in applying complex modeling frameworks to practical business problems
- Professional experience using SQL and Python
- Experience working with digital products in an iterative development cycle
- Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution
Required Skills
- SQL
- Python
- statistical rigor
- experimentation
- causal analyses
- data analysis
- deep dives
- data visualizations
- ETL jobs
- code reviews
- complex modeling frameworks
- clear communication
- positive energy
- continuous learning
- efficient execution
Benefits
- bonus eligibility
- equity eligibility
- benefits (including medical, dental, vision and 401(k))
Salary Range
$180370 - $212200 USD
Locations
- NAMER, United States (Remote)
Salary
180,370 - 212,200 USD / yearly
Skills Required
- SQLintermediate
- Pythonintermediate
- statistical rigorintermediate
- experimentationintermediate
- causal analysesintermediate
- data analysisintermediate
- deep divesintermediate
- data visualizationsintermediate
- ETL jobsintermediate
- code reviewsintermediate
- complex modeling frameworksintermediate
- clear communicationintermediate
- positive energyintermediate
- continuous learningintermediate
- efficient executionintermediate
Required Qualifications
- A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with ≥3+ years of relevant experience (experience)
- Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces (experience)
- Ability to influence external stakeholders by synthesizing data learnings into compelling stories (experience)
- Practical expertise in applying complex modeling frameworks to practical business problems (experience)
- Professional experience using SQL and Python (experience)
- Experience working with digital products in an iterative development cycle (experience)
- Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution (experience)
Responsibilities
- Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team’s decision making
- Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations
- Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs
- Maintain a high bar for statistical rigor on your team. Ensure that we’re conducting experimentation and causal analyses that build confidence with your stakeholders
Benefits
- general: bonus eligibility
- general: equity eligibility
- general: benefits (including medical, dental, vision and 401(k))
Tags & Categories
Senior Data Scientist - Product
Coinbase
Senior Data Scientist - Product
Job Description
Responsibilities
- Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team’s decision making
- Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations
- Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs
- Maintain a high bar for statistical rigor on your team. Ensure that we’re conducting experimentation and causal analyses that build confidence with your stakeholders
Required Qualifications
- A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with ≥3+ years of relevant experience
- Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces
- Ability to influence external stakeholders by synthesizing data learnings into compelling stories
- Practical expertise in applying complex modeling frameworks to practical business problems
- Professional experience using SQL and Python
- Experience working with digital products in an iterative development cycle
- Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution
Required Skills
- SQL
- Python
- statistical rigor
- experimentation
- causal analyses
- data analysis
- deep dives
- data visualizations
- ETL jobs
- code reviews
- complex modeling frameworks
- clear communication
- positive energy
- continuous learning
- efficient execution
Benefits
- bonus eligibility
- equity eligibility
- benefits (including medical, dental, vision and 401(k))
Salary Range
$180370 - $212200 USD
Locations
- NAMER, United States (Remote)
Salary
180,370 - 212,200 USD / yearly
Skills Required
- SQLintermediate
- Pythonintermediate
- statistical rigorintermediate
- experimentationintermediate
- causal analysesintermediate
- data analysisintermediate
- deep divesintermediate
- data visualizationsintermediate
- ETL jobsintermediate
- code reviewsintermediate
- complex modeling frameworksintermediate
- clear communicationintermediate
- positive energyintermediate
- continuous learningintermediate
- efficient executionintermediate
Required Qualifications
- A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with ≥3+ years of relevant experience (experience)
- Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces (experience)
- Ability to influence external stakeholders by synthesizing data learnings into compelling stories (experience)
- Practical expertise in applying complex modeling frameworks to practical business problems (experience)
- Professional experience using SQL and Python (experience)
- Experience working with digital products in an iterative development cycle (experience)
- Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution (experience)
Responsibilities
- Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team’s decision making
- Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations
- Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs
- Maintain a high bar for statistical rigor on your team. Ensure that we’re conducting experimentation and causal analyses that build confidence with your stakeholders
Benefits
- general: bonus eligibility
- general: equity eligibility
- general: benefits (including medical, dental, vision and 401(k))
Tags & Categories