Staff Data Scientist, Marketing Science

Pinterest; California, San Francisco (MO, CA); Hybrid; USD 163,000 - 336,000; Full time

Job summary

Join a forward-thinking company where your expertise in data science will drive innovation and enhance advertiser performance. In this role, you'll take ownership of data products, collaborate across teams, and provide actionable insights that empower advertisers. With a focus on experimentation and causal inference, you'll help shape best practices and lead a talented team. This is an exciting opportunity to be at the forefront of data-driven decision-making in a dynamic environment that values creativity and collaboration.

Qualifications

• 8+ years of experience in data science on web-scale data.
• Strong fundamentals in statistics and experimentation.

Responsibilities

• Analyze performance drivers for advertisers on the platform.
• Monitor trends in ads performance and identify improvement opportunities.
• Lead and mentor data scientists in the team.

Skills

Data Science

SQL

Python

Statistics

Experimentation

Causal Inference

Communication Skills

Education

MS or PhD in a quantitative field

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 theflexibility to do your best work. Creating a career you love? It's Possible.

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. Brands and products are a critical piece of this journey, enabling Pinners to move easily from inspiration to action and advertisers to realize value in connecting with users with high commercial intent.

As Pinterest continues to scale, we need insightful analyses and actionable recommendations to help maximize value to both Pinners and advertisers. Tasked with such vision, we are looking for data scientists to jump start Pinterest's Marketing Science team. You will take end-to-end ownership of designing, researching, building, and delivering data products as well as collaborate with XFNs to formulate, experiment, and evolve Pinterest's best practice guides to advertiser performance. You will support strategic planning, marketing events, earnings releases, and other efforts with powerful data narratives.

What you'll do:

• Research and analyze what drives performance on our platform for advertisers.


• Monitor key trends in ads performance to identify and scale platform-level improvement opportunities and/or flag and mitigate risks of reduction.


• Equip the business with data-backed recommendations that deliver the strongest performance outcomes, tailored to key advertiser segments, defined by dimensions including marketing objective, campaign type or measurement source of truth, etc.


• Creating and tracking metrics around advertiser value. Identify the right framework to quantify the value Pinterest provides to advertisers, and drive XFN alignment on implement and monitor those metrics as north stars of success.


• Improve decision velocity and quality using data scientist tool kit: experimentation, causal inference techniques, etc.Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc.


• Leadership: Lead and mentor the scope of work for data scientists in the same area, demonstrating high-quality output of both yourself and others for whom you are responsible. Provide continuous and candid feedback, recognizing individual strengths and contributions and flagging opportunities to improve performance.

What we're looking for:

• MS or PhD in a quantitative field or equivalent experience


• 8+ years of experience applying data science to solve real-world problems on web-scale data


• Domain expertise about ads platforms and products, particularly around measurement and performance


• Strong fundamentals in statistics, particularly experimentation and causal inference


• Proficiency in common data science coding languages such as SQL and Python.


• Proven track record of driving data science projects and/or initiatives in a cross-functional team including both technical and non-technical stakeholders.


• Strong communication skills. Explains work and thought processes clearly, concisely and convincingly.

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.


• This role will need to be in the office for in-person collaboration 1x week and therefore needs to be in a commutable distance from one of the following offices: Seattle, San Francisco and Palo Alto.

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. 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.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only

$163,064—$335,720 USD

Our Commitment to Inclusion:

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 a medical or religious accommodation during the job application process, please completethis formfor support.