Sr. Data Scientist, Marketing

Pinterest; Deutschland; On-site; EUR 120,382 - 247,846; Full time

Job summary

Pinterest is seeking a Marketing Analyst to analyze advertiser behavior and optimize marketing strategies through statistical models. This role demands a strong analytical background with 6+ years of experience and a master’s degree in a quantitative field.

Candidates should have excellent communication skills to convey findings to various stakeholders. The position offers a competitive salary range of $139,764—$287,749 USD, tailored to individual experience and skills.

Qualifications

• 6+ years of practical experience applying scientific methods.
• Proficient in statistical techniques for real-world problems.
• Experience leading technical projects.

Responsibilities

• Analyze advertiser behavior to enhance acquisition and conversion.
• Develop statistical models to optimize marketing strategies.
• Translate analytical findings into actionable insights.

Skills

Statistical analysis

Communication skills

Data-driven decision making

SQL proficiency

Python/R expertise

Education

Masters degree in a quantitative field

Tools

Statistical software

Job description

What you’ll do:

• Analyze advertiser behavior across the end-to-end funnel to identify factors influencing acquisition, conversion, retention and churn.
• Lead the design, implementation, and continuous improvement of advanced marketing measurement frameworks and statistical models to quantify marketing ROI. Marketing channels could be different paid media, email, in-product, organic social, webinars, elearning platform, in‑person events, etc.
• Build and deploy statistical and machine learning models such as propensity, forecasting, and lifetime value (LTV) models—to optimize marketing strategies and enhance audience targeting.
• Develop and refine attribution methodologies to evaluate the effectiveness of marketing initiatives across multiple channels.
• Assess the incremental impact of marketing activities using causal inference techniques and testing/experiment frameworks.
• Conduct deep, strategic analyses to address key business questions, such as how to improve marketing ROI, how to improve marketing budget allocation to optimize the business impact, measuring the impact of marketing in both mature and new markets, and identifying opportunities to increase advertiser growth and revenue through marketing initiatives.
• Translate complex analytical findings into clear, actionable insights and strategic recommendations for both technical and non-technical stakeholders, including senior leadership.
• Design, maintain, and promote dashboards and automated reporting tools to empower stakeholders with self‑serve, data‑driven decision‑making capabilities. Build and optimize ETL data pipelines to automate reporting, support deep dive analysis and feature engineering for analytical models.

What we’re looking for:

• 6+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems.
• Masters degree in a quantitative field such as mathematics, statistics, computer science or engineering.
• Excellent communication skills, able to lead initiatives and communicate findings to the leadership and cross-functional teams, especially non-technical audiences. Explains work and thought processes clearly and concisely.
• Hands‑on experience with building marketing measurement solutions to quantify the business impact of marketing tactics and investments.
• Strong background in statistics and quantitative analysis, with experience in applying advanced statistical techniques to real-world problems.
• Expertise in at least one scripting language (ideally Python/R). Proficiency in SQL/Hive. Ability to write efficient SQL queries.
• Strong business and product sense. Strong skills in shaping vague questions into well‑defined analyses and success metrics that drive business decisions.
• Experience leading key technical projects.
• Strong experimentation background.
• Statistical rigor. Experience with causal inference projects.

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation Statement:

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

Salary and Benefits:

$139,764—$287,749 USD (base salary). Eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

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 or 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 complete this form for support.