Introduction to Pinterest and Our Mission
Pinterest is a platform where millions of people around the world come 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. As a member of our team, you'll be challenged to tackle work that upholds this mission and pushes Pinterest forward. You'll develop as a person and a leader in your field, all while supporting Pinners to make their lives better in the vast corner of the internet.
About the Role: Senior Data Scientist for Conversion Visibility
We are seeking an experienced Senior Data Scientist to help us shape the approach of conversion data quality and develop solutions for enhancing the data foundation for Pinterest's ads system. Conversion data is the foundation for ads reporting and ads ML modeling at Pinterest. Ensuring our conversion data delivers a high signal-to-noise ratio of users' business intent is crucial for Pinterest to deliver business value to advertisers. In this role, you will work on a variety of exciting data science challenges in this new frontier, including how to define and analyze data quality, how to establish causal signals from observational data, and how to unleash the power of ML model performance through the lens of data-centric AI.
Key Responsibilities:
- Conduct deep-dive analysis to discover patterns in real-world user conversion data, identify various data quality issues, and quantify their impact on our ads system.
- Analyze causal connections between users' online behaviors and their conversions, find causal signals in data, and develop metrics to measure the effectiveness of ads.
- Design and prototype automated solutions that identify quality issues in our conversion data, develop high-signal training labels and features to enhance ads ML model performance, and collaborate with engineers to integrate them into our ads system.
- Collaborate closely with Product and Engineering teams as a thought partner, providing data-informed recommendations that shape the future roadmap and drive the long-term strategy for building a high-quality conversion data foundation.
Essential Qualifications:
To be successful in this role, you should have:
- 3+ years of hands-on experience as a data scientist, applied scientist, or machine learning engineer.
- Proven ability to apply scientific methods to solve real-world problems on web-scale data.
- Proficiency in SQL/Hive and expertise in at least one scripting language (preferably Python/R).
- Strong business and product sense, with the ability to shape ambiguous questions into well-defined analyses and success metrics that drive business decisions.
- Excellent communication skills, with the ability to communicate findings with management and product teams.
Preferred Qualifications:
In addition to the essential qualifications, we prefer candidates with:
- Experience in causal inference and measurement, including measuring causal impact using both online experimentation and observational studies.
- Experience in data quality-related work, such as quality assessment, anomaly detection, data cleaning, and data governance.
- Proven ability to design and implement machine learning models, preferably with biased/incomplete/noisy training data. Deep understanding of feature design and model evaluation is strongly preferred.
- Proven ability to independently explore an ambiguous area and shape the product roadmap and strategy through analytical efforts.
Skills and Competencies:
To succeed in this role, you should possess:
- Strong analytical and problem-solving skills, with the ability to analyze complex data sets and draw meaningful insights.
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
- Strong business acumen, with the ability to understand the business implications of data-driven insights and recommendations.
- Ability to work in a fast-paced environment, with multiple priorities and deadlines.
Career Growth Opportunities and Learning Benefits:
At Pinterest, we believe in providing opportunities for growth and development to our employees. As a Senior Data Scientist, you will have the opportunity to:
- Work on complex and challenging problems that have a direct impact on the business.
- Collaborate with experienced data scientists, engineers, and product managers to develop and implement solutions.
- Develop and improve your skills in data science, machine learning, and data engineering.
- Stay up-to-date with the latest trends and technologies in the field through training and conference opportunities.
Work Environment and Company Culture:
At Pinterest, we believe that the workplace should be equitable, inclusive, and inspiring for every employee. We offer a flexible and supportive work environment that allows you to thrive and grow. Our company culture is built on the values of:
- Equity and inclusion, with a commitment to diversity and equal opportunity.
- Collaboration and teamwork, with a focus on cross-functional partnerships and open communication.
- Innovation and experimentation, with a willingness to take risks and try new things.
- Accountability and ownership, with a focus on delivering high-quality results and taking pride in our work.
Compensation, Perks, and Benefits:
We offer a competitive compensation package, including:
- A salary range of $35-$45 per hour, depending on experience and location.
- Equity opportunities, with a chance to own a part of the company.
- Comprehensive health benefits, including medical, dental, and vision coverage.
- Flexible and generous vacation and holiday policies, with a global year-end paid company holiday closure.
- Retirement plans, including 401(k) matching and tax savings opportunities.
- Mental health and well-being benefits, including access to counseling and wellness programs.
- Personal and professional development resources, including training and conference opportunities.
- Adoption assistance, paid parental leave, and other family-building benefits.
- Discounts and perks, including meals and snacks in the office.
Conclusion:
If you are a motivated and experienced data scientist looking for a challenging and rewarding role, we encourage you to apply for this opportunity. As a Senior Data Scientist at Pinterest, you will have the chance to work on complex and impactful projects, collaborate with talented teams, and develop your skills and expertise in a fast-paced and dynamic environment. Don't miss out on this opportunity to join our team and help shape the future of Pinterest. Apply now!
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