Pinterest
Staff Data Scientist, Metrics Quality
Pinterest, San Francisco, California, United States, 94199
About Pinterest :
Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.
Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.
Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our
PinFlex
landing page to learn more. What you’ll do: Analyze:
Root causes of discrepancies in our critical externally reported and internally used metrics, and estimate the impact of data inaccuracies on our business decisions through deep-dives and strategic analyses. You will work to establish a consistent ground truth for our data, thereby enhancing its integrity and trustworthiness. Investigation Support:
Serve as a key point of contact and final sign-off for resolution of data anomalies and inconsistencies. Collaborate with client engineers and data warehouse teams to drive investigations, identify potential root causes and define success metrics for these inquiries. Opportunity Sizing and Analysis:
Write clear, actionable analyses that help teams identify areas of improvement to our metrics quality. For example, quantify how much user activity is underestimated due to networking issues, and suggest how addressing these can enhance overall metric accuracy. Data Controls:
Develop and implement robust data quality checkers and alerts, ensuring they provide high signal without excess noise. Streamline Communication:
Partner with TPMs to ensure that quality issues and best practices are communicated effectively within the company. This includes enhancing key processes such as SOX compliance and ensuring ML teams have access to the best data available. Leadership:
In this role, you’ll have the freedom to target opportunities you deem most critical and to set the strategic direction of the team. Lead by example to identify priority areas and elevate your colleagues' data capabilities by sharing insights and best practices. What we’re looking for: 8+ years of combined post-graduate academic and industry experience working with data to solve real-world problems on web-scale data. Proven ability to identify and solve data integrity issues in real-world environments. Expertise in at least one scripting language, ideally Python or R. Proficiency in SQL/Hive, with a strong ability to manipulate and extract value from large datasets. Airflow and SparkSQL experience are also valuable. Rigorous analytical skills, with a meticulous approach to validating results and ensuring data reliability. Excellent communication skills, with proven experience leading initiatives across multiple product areas and effectively conveying findings to leadership and product teams. Demonstrated leadership in managing key technical projects, significantly influencing the scope and enhancing the output of team efforts. Relocation Statement: This position is not eligible for relocation assistance. Visit our
PinFlex
page to learn more about our working model. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. Salary Statement: At Pinterest, we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. US based applicants only $148,049—$304,496 USD Our Commitment to Diversity: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify
accessibility@pinterest.com
for support.
#J-18808-Ljbffr
PinFlex
landing page to learn more. What you’ll do: Analyze:
Root causes of discrepancies in our critical externally reported and internally used metrics, and estimate the impact of data inaccuracies on our business decisions through deep-dives and strategic analyses. You will work to establish a consistent ground truth for our data, thereby enhancing its integrity and trustworthiness. Investigation Support:
Serve as a key point of contact and final sign-off for resolution of data anomalies and inconsistencies. Collaborate with client engineers and data warehouse teams to drive investigations, identify potential root causes and define success metrics for these inquiries. Opportunity Sizing and Analysis:
Write clear, actionable analyses that help teams identify areas of improvement to our metrics quality. For example, quantify how much user activity is underestimated due to networking issues, and suggest how addressing these can enhance overall metric accuracy. Data Controls:
Develop and implement robust data quality checkers and alerts, ensuring they provide high signal without excess noise. Streamline Communication:
Partner with TPMs to ensure that quality issues and best practices are communicated effectively within the company. This includes enhancing key processes such as SOX compliance and ensuring ML teams have access to the best data available. Leadership:
In this role, you’ll have the freedom to target opportunities you deem most critical and to set the strategic direction of the team. Lead by example to identify priority areas and elevate your colleagues' data capabilities by sharing insights and best practices. What we’re looking for: 8+ years of combined post-graduate academic and industry experience working with data to solve real-world problems on web-scale data. Proven ability to identify and solve data integrity issues in real-world environments. Expertise in at least one scripting language, ideally Python or R. Proficiency in SQL/Hive, with a strong ability to manipulate and extract value from large datasets. Airflow and SparkSQL experience are also valuable. Rigorous analytical skills, with a meticulous approach to validating results and ensuring data reliability. Excellent communication skills, with proven experience leading initiatives across multiple product areas and effectively conveying findings to leadership and product teams. Demonstrated leadership in managing key technical projects, significantly influencing the scope and enhancing the output of team efforts. Relocation Statement: This position is not eligible for relocation assistance. Visit our
PinFlex
page to learn more about our working model. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. Salary Statement: At Pinterest, we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. US based applicants only $148,049—$304,496 USD Our Commitment to Diversity: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify
accessibility@pinterest.com
for support.
#J-18808-Ljbffr