Senior Data Scientist, Core

Jobtailor; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Jobtailor is seeking a data scientist to develop instrumentation, apply rigorous analytics, and build scalable analysis pipelines. You will work with cross-functional teams to translate insights into product improvements and craft data-driven experiences at web scale.

The role emphasizes communication of complex analyses to both technical and non-technical stakeholders and collaboration across product, engineering, and research teams.

Qualifications

• 5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to real-world problems on web-scale data.
• Extensive experience solving analytical problems using quantitative approaches including Machine Learning, Statistical Modeling, Forecasting, Econometrics or 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, with attention to detail and high-quality, results-oriented output.
• Ability to manipulate large data sets with high dimensionality; fluency in SQL and a scripting language (Python or R).
• Excellent communication skills to explain learnings to technical and non-technical partners.
• Bachelor’s degree in Computer Science, related field or equivalent experience.

Responsibilities

• Develop best practices for instrumentation and experimentation and communicate to product engineering teams.
• Bring scientific rigor to product creation and improve with a focus on user behaviors.
• Build and prototype analysis pipelines to provide scalable insights and knowledge of data structures.
• Collaborate cross-functionally with product managers, engineers, designers, and researchers to shape next experiences on Pinterest.

Skills

Data Analysis

Machine Learning

Statistical Modeling

SQL

Python

R

Data Manipulation

Deep Learning

Communication

Cross-functional Collaboration

Education

Bachelor's degree in Computer Science or related field

Tools

PyTorch

TensorFlow

Scikit-learn

Job description

Responsibilities

• Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love
• 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

Requirements

• 5+ 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.

Core Competencies

Demonstrates expertise in data analysis, applying scientific methods and statistical techniques to drive product development and improvement. Proficient in building analysis pipelines and communicating insights effectively across cross-functional teams.

Highest-signal resume keywords

• Data Analysis
• Machine Learning
• Statistical Modeling
• SQL
• Python

ATS Optimization Keywords

Hard Skills

• Data Analysis
• Statistical Modeling
• Machine Learning
• Deep Learning
• Forecasting
• Econometrics
• SQL
• Python
• R
• Data Manipulation

Soft Skills

• Excellent Communication
• Team Player
• Attention to Detail
• Skepticism
• Results-Oriented

Industry Keywords

• Data-Driven Environment
• Web-Scale Data
• Cross-Functional Collaboration
• Product Development
• Data Structures

Tools & Technologies

• PyTorch
• TensorFlow
• Scikit-learn