• Plan and perform care gap advanced analytics and segment HCPs and KOLs using real world data sources as input • Support team Product Manager in strategic and tactical planning with regards to medical analyses • Collaborate with team Product manager to communicate generated insights • Provide mentorship & coaching to Data Scientists & Data Engineering • Leverage cross-team collaboration to develop analytical best-practices in care gap analyses and HCP segmentation • Proactively identify future opportunities to enhance the impact of care gap and segmentation solutions • Prepare and maintain datasets for high-complexity analytical needs • Own the end-to-end process of integrated care gaps analyses • Plan, generate and perform asset-specific care gap analyses • Create asset-specific HCP segments to guide medical activities

• Configure/maintain EDC forms and eCRF specifications as needed to support ingestion and downstream analysis, focusing on scalability and standardization. • Own end-to-end Data Management for Evidence Generation studies: build, validate, and maintain research databases from ingest → cleaning → QC → data lock. • Develop and run data cleaning workflows (queries, reconciliation, audit trails), and ensure inspection-ready documentation. • Design and operate data model strategy for automated ingestion of EHR-level RWE into the EDC. • Work hands-on with APIs/integration endpoints and unify disparate data models (site/EHR variability, mapping logic, versioning, schema evolution). • Partner with site IT/informatics and the Product team to understand EHR constraints, extract structures, and change management. • Translate EHR data realities into feasible study data capture and monitoring plans. • Create and maintain DMPs, SAPs, SOPs, runbooks, and training materials that operationalize the above processes across care pathways. • Perform statistical analyses on cleaned datasets (descriptive, comparative, time-to-event where appropriate) and support evidence packages and reporting.

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. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. We are looking for a Data Scientist to join our marketing org. As a Data Scientist you introduce greater scientific rigor into the marketing measurement and optimization processes to shape Pinterest’s revenue growth and marketing strategy. The results of your work will influence and drive strategic decisions for the company - identify investment opportunities for growth, understand revenue growth and behavior, and define metrics to grow and sustain our advertiser base. You will collaborate on a wide array of business problems with a diverse set of cross-functional partners across Marketing, Product, Engineering, Analytics and others. The role is within the Marketing team and would be supporting business marketing efforts focused on driving revenue growth for Pinterest. What you’ll do: - 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, organic social, email, in person events, webinars, elearning platform 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, 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: - 3+ 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. - Hands-on experiences 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. - Excellent communication skills, able to lead initiatives and communicate findings to the leadership and cross-functional teams. Explains work and thought processes clearly and concisely. - Experience leading key technical projects. - Strong Experimentation background. - Statistical rigor. Experience with causal inference projects. 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 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. #LI-REMOTE #LI-NM4 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 $114,297—$235,319 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 complete this form for support.

Role Description We’re looking for a Senior Data Scientist to play a critical role in advancing Pearl’s AI-driven products. You’ll work closely with product, engineering, clinical, and business stakeholders to turn complex data into actionable insights and scalable solutions. This is a high-impact role for someone who thrives at the intersection of data science, product thinking, and real-world healthcare applications. - Lead the design and execution of data science projects that directly impact Pearl’s AI products and business outcomes - Analyze large, complex datasets to uncover insights, trends, and opportunities - Build and validate statistical models, experiments, and predictive analyses - Partner with engineering and ML teams to productionize data science work - Define metrics and KPIs to measure product performance and clinical impact - Communicate findings clearly to technical and non-technical stakeholders - Mentor junior data scientists and promote best practices across the team Qualifications - Bachelor’s or advanced degree in a quantitative discipline (Mathematics, Statistics, Computer Science, Physics, Engineering, or a related field) - 8+ years of experience in Data Science, Machine Learning, or Applied AI roles - Strong foundation in statistics, data processing, and machine learning techniques, with hands-on experience using widely adopted open-source frameworks - Proven track record of developing and deploying production-ready machine learning systems, including experience with MLOps practices - Advanced proficiency in Python and SQL, with experience working in modern cloud data warehouses such as Snowflake - Experience working with cloud platforms and designing scalable data and ML solutions Benefits - Work on mission-driven technology that improves patient care - Join a fast-growing AI company with real clinical impact - Collaborate with a talented, interdisciplinary team - Competitive compensation, equity, and benefits - Flexible work environment