Senior Data Scientist
Instacart
Senior Data Scientist
Job Description
Responsibilities
- Own analytical frameworks that guide the product roadmap.
- Design rigorous experiments and interpret results to draw detailed and actionable conclusions.
- Develop statistical models to extract trends, measure results, and predict future performance of our products.
- Build simulations to project the impact of various product and policy interventions.
- Enable objective decision-making across the company by democratizing data through dashboards and other analytical tools.
- Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory, etc., to shape the future of Instacart.
- Present findings in a compelling way to influence Instacart's leadership.
Required Qualifications
- 5+ years of experience working in a quantitative role at a product company or a research organization.
- Ability to run rigorous experiments and generate scientifically sound recommendations.
- Ability to write complex, efficient, and eloquent SQL queries to extract data.
- Ability to write efficient and eloquent code in Python or R.
- A desire to build and improve consumer software products.
- Ability to translate business needs into analytical frameworks.
- Eagerness to learn, flexibility to pivot when needed, savviness to navigate a dynamic environment, and a growth mindset to build a successful team and company.
Preferred Qualifications
- Awareness of business trade-offs when working on a multi-sided marketplace.
- Confidence in collaborating with and influencing cross-functional stakeholders (e.g., Product, Engineering) at a senior level.
- MS/PhD in Statistics, Economics, Applied Mathematics, or a related field.
Required Skills
- SQL
- Python
- R
- rigorous experiments
- statistical models
- causal inference
- machine learning
- complex systems modeling
- behavioral decision theory
Salary Range
$155000 - $207000 USD
Locations
- United States, United States (Remote)
Salary
155,000 - 207,000 USD / yearly
Skills Required
- SQLintermediate
- Pythonintermediate
- Rintermediate
- rigorous experimentsintermediate
- statistical modelsintermediate
- causal inferenceintermediate
- machine learningintermediate
- complex systems modelingintermediate
- behavioral decision theoryintermediate
Required Qualifications
- 5+ years of experience working in a quantitative role at a product company or a research organization. (experience)
- Ability to run rigorous experiments and generate scientifically sound recommendations. (experience)
- Ability to write complex, efficient, and eloquent SQL queries to extract data. (experience)
- Ability to write efficient and eloquent code in Python or R. (experience)
- A desire to build and improve consumer software products. (experience)
- Ability to translate business needs into analytical frameworks. (experience)
- Eagerness to learn, flexibility to pivot when needed, savviness to navigate a dynamic environment, and a growth mindset to build a successful team and company. (experience)
Preferred Qualifications
- Awareness of business trade-offs when working on a multi-sided marketplace. (experience)
- Confidence in collaborating with and influencing cross-functional stakeholders (e.g., Product, Engineering) at a senior level. (experience)
- MS/PhD in Statistics, Economics, Applied Mathematics, or a related field. (experience)
Responsibilities
- Own analytical frameworks that guide the product roadmap.
- Design rigorous experiments and interpret results to draw detailed and actionable conclusions.
- Develop statistical models to extract trends, measure results, and predict future performance of our products.
- Build simulations to project the impact of various product and policy interventions.
- Enable objective decision-making across the company by democratizing data through dashboards and other analytical tools.
- Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory, etc., to shape the future of Instacart.
- Present findings in a compelling way to influence Instacart's leadership.
Tags & Categories
Answer 10 quick questions to check your fit for Senior Data Scientist @ Instacart.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs
Senior Data Scientist
Instacart
Senior Data Scientist
Job Description
Responsibilities
- Own analytical frameworks that guide the product roadmap.
- Design rigorous experiments and interpret results to draw detailed and actionable conclusions.
- Develop statistical models to extract trends, measure results, and predict future performance of our products.
- Build simulations to project the impact of various product and policy interventions.
- Enable objective decision-making across the company by democratizing data through dashboards and other analytical tools.
- Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory, etc., to shape the future of Instacart.
- Present findings in a compelling way to influence Instacart's leadership.
Required Qualifications
- 5+ years of experience working in a quantitative role at a product company or a research organization.
- Ability to run rigorous experiments and generate scientifically sound recommendations.
- Ability to write complex, efficient, and eloquent SQL queries to extract data.
- Ability to write efficient and eloquent code in Python or R.
- A desire to build and improve consumer software products.
- Ability to translate business needs into analytical frameworks.
- Eagerness to learn, flexibility to pivot when needed, savviness to navigate a dynamic environment, and a growth mindset to build a successful team and company.
Preferred Qualifications
- Awareness of business trade-offs when working on a multi-sided marketplace.
- Confidence in collaborating with and influencing cross-functional stakeholders (e.g., Product, Engineering) at a senior level.
- MS/PhD in Statistics, Economics, Applied Mathematics, or a related field.
Required Skills
- SQL
- Python
- R
- rigorous experiments
- statistical models
- causal inference
- machine learning
- complex systems modeling
- behavioral decision theory
Salary Range
$155000 - $207000 USD
Locations
- United States, United States (Remote)
Salary
155,000 - 207,000 USD / yearly
Skills Required
- SQLintermediate
- Pythonintermediate
- Rintermediate
- rigorous experimentsintermediate
- statistical modelsintermediate
- causal inferenceintermediate
- machine learningintermediate
- complex systems modelingintermediate
- behavioral decision theoryintermediate
Required Qualifications
- 5+ years of experience working in a quantitative role at a product company or a research organization. (experience)
- Ability to run rigorous experiments and generate scientifically sound recommendations. (experience)
- Ability to write complex, efficient, and eloquent SQL queries to extract data. (experience)
- Ability to write efficient and eloquent code in Python or R. (experience)
- A desire to build and improve consumer software products. (experience)
- Ability to translate business needs into analytical frameworks. (experience)
- Eagerness to learn, flexibility to pivot when needed, savviness to navigate a dynamic environment, and a growth mindset to build a successful team and company. (experience)
Preferred Qualifications
- Awareness of business trade-offs when working on a multi-sided marketplace. (experience)
- Confidence in collaborating with and influencing cross-functional stakeholders (e.g., Product, Engineering) at a senior level. (experience)
- MS/PhD in Statistics, Economics, Applied Mathematics, or a related field. (experience)
Responsibilities
- Own analytical frameworks that guide the product roadmap.
- Design rigorous experiments and interpret results to draw detailed and actionable conclusions.
- Develop statistical models to extract trends, measure results, and predict future performance of our products.
- Build simulations to project the impact of various product and policy interventions.
- Enable objective decision-making across the company by democratizing data through dashboards and other analytical tools.
- Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory, etc., to shape the future of Instacart.
- Present findings in a compelling way to influence Instacart's leadership.
Tags & Categories
Answer 10 quick questions to check your fit for Senior Data Scientist @ Instacart.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs