Data Scientist
Data Scientist
Job Description
Responsibilities
- Develop best practices for instrumentation and experimentation and communicate those to product engineering teams
- Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners
- Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development
- Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest
Qualifications
- 4+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data
- Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields
- Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn
- A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output
- Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R)
- Excellent communication skills and ability to explain learnings to both technical and non-technical partners
- A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions
- Bachelor’s degree in Computer Science, a related field or equivalent experience
Locations
- San Francisco, CA, US; Remote, CA, US (Remote)
Salary
101,382 - 209,296 USD / yearly
Estimated Salary Rangemedium confidence
120,000 - 200,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learningintermediate
- Statistical Modelingintermediate
- Forecastingintermediate
- Econometricsintermediate
- PyTorchintermediate
- TensorFlowintermediate
- scikit-learnintermediate
- SQLintermediate
- Pythonintermediate
- Rintermediate
- Scientific rigor in analysisintermediate
- Communication skillsintermediate
- Cross-functional collaborationintermediate
Required Qualifications
- 4+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data (experience)
- Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields (experience)
- Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn (experience)
- A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output (experience)
- Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R) (experience)
- Excellent communication skills and ability to explain learnings to both technical and non-technical partners (experience)
- A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions (experience)
- Bachelor’s degree in Computer Science, a related field or equivalent experience (experience)
Responsibilities
- Develop best practices for instrumentation and experimentation and communicate those to product engineering teams
- Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners
- Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development
- Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest
Tags & Categories
Data Scientist
Data Scientist
Job Description
Responsibilities
- Develop best practices for instrumentation and experimentation and communicate those to product engineering teams
- Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners
- Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development
- Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest
Qualifications
- 4+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data
- Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields
- Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn
- A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output
- Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R)
- Excellent communication skills and ability to explain learnings to both technical and non-technical partners
- A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions
- Bachelor’s degree in Computer Science, a related field or equivalent experience
Locations
- San Francisco, CA, US; Remote, CA, US (Remote)
Salary
101,382 - 209,296 USD / yearly
Estimated Salary Rangemedium confidence
120,000 - 200,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learningintermediate
- Statistical Modelingintermediate
- Forecastingintermediate
- Econometricsintermediate
- PyTorchintermediate
- TensorFlowintermediate
- scikit-learnintermediate
- SQLintermediate
- Pythonintermediate
- Rintermediate
- Scientific rigor in analysisintermediate
- Communication skillsintermediate
- Cross-functional collaborationintermediate
Required Qualifications
- 4+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data (experience)
- Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields (experience)
- Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn (experience)
- A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output (experience)
- Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R) (experience)
- Excellent communication skills and ability to explain learnings to both technical and non-technical partners (experience)
- A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions (experience)
- Bachelor’s degree in Computer Science, a related field or equivalent experience (experience)
Responsibilities
- Develop best practices for instrumentation and experimentation and communicate those to product engineering teams
- Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners
- Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development
- Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest
Tags & Categories