Sr. Data Scientist, Monetization

Pinterest; California, San Francisco (MO, CA); Hybrid; USD 162,000 - 285,000; Full time

Job summary

Join a forward-thinking company as a Data Scientist in the Monetization Engineering team, where you will have the opportunity to lead innovative projects that impact millions. Your role will involve conducting deep analyses, building data products, and mentoring fellow data scientists. This position offers a unique chance to work in a dynamic environment that values creativity and collaboration. With a competitive salary and a commitment to inclusion, you will thrive in a culture that encourages growth and celebrates diverse experiences. Embrace the flexibility to do your best work and create a career you love.

Qualifications

• 5+ years of experience with web-scale data solutions.
• Strong fundamentals in statistics and experimentation.

Responsibilities

• Conduct strategic analyses to assess metrics change trade-offs.
• Build segmentation models to inform pricing strategies.

Skills

Statistical Analysis

Experimentation

SQL

Python

Data Analysis

Causal Inference Techniques

Education

Bachelor's or Master's in Data Science

Tools

Hive

Job description

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities, and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences, and embrace the flexibility to do your best work. Creating a career you love? It's possible.

We are looking for Data Scientists to join our Monetization Engineering organization. You will take end-to-end ownership of designing, researching, building, and delivering data products, as well as collaborate with cross-functional teams to formulate, experiment, and evolve Pinterest's strategy in the Ads space.

What you'll do:

1. Conduct deep strategic analyses to answer core questions such as: How do we assess the trade-offs between metrics change? How should we evaluate the overall impact of changes in the ads ecosystem?
2. Perform opportunity sizing and analysis. Provide clear, actionable insights to help teams identify areas for improvement and investment.
3. Build segmentation models to assess supply and inform pricing strategies.
4. Enhance decision velocity and quality using data scientist tools: experimentation, causal inference techniques, etc. Design measurement strategies, advise on experimentation best practices, identify flaws in experiments, and develop tools for analysis.
5. Create and track success metrics. Help engineering teams identify appropriate success measures, break down high-level metrics into actionable segments, and monitor data quality issues.
6. Lead and mentor data scientists within your scope of work, demonstrating high-quality output and providing continuous feedback to improve performance.

What we're looking for:

1. Bachelor's or Master's degree in Data Science or a related field, or equivalent experience.
2. 5+ years of experience applying scientific methods to solve real-world problems on web-scale data.
3. Strong fundamentals in statistics and experimentation.
4. Domain knowledge in ecosystems, ads, or real-time bidding.
5. Proficiency in SQL, Hive, and Python.

Relocation Statement:

This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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At Pinterest, we believe the workplace should be equitable, inclusive, and inspiring for every employee. We are transparent about salary ranges: the base salary for this role is between $162,800 and $284,900 USD, with potential equity. Final salary depends on factors like location, experience, and skills.

More about our culture and benefits can be found here.

US-based applicants only.

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, disability, or other protected characteristics. We provide accommodations upon request during the application process.