• Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love • Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners • Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development • Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest

At Mindera, we believe that software is built by people, for people with high performance systems that impact users worldwide. We are looking for a Senior Data Scientist to join an agile, collaborative team where your voice matters as much as your code. You won’t just be managing infrastructure, you’ll be a technical partner helping us build resilient systems that scale. We value empathy, self-organization, and the courage to take risks. If you love solving complex problems and believe that teaching others is the best way to learn, you’ll feel right at home here. We’re looking for someone who loves to build, learn, and guide others. You’ll be working closely with our leadership (CEO/COO) and our clients, so clear communication and a collaborative spirit are key. National and international expected traveling time varies according to project/client and organizational needs: 0%-15% estimated. 💪 How You'll Contribute - Business Insight & Problem Definition: Partner closely with marketing and product teams to diagnose business challenges and define appropriate data metrics, analyses, and interpretations to drive strategic decisions. - Statistical Modeling: Define requirements for and lead the creation, monitoring, and iterative improvement of key statistical models used for marketing spend optimization and product growth. - Narrative & Visualization: Design clear, unambiguous narratives and data visualizations to communicate model outputs and analysis results to broad, non-technical audiences. - Rapid Prototyping: Independently prototype and test new insights, moving from hypothesis to rigorous validation with minimal mentorship. - Technical Consultation: Reason effectively about the strengths and weaknesses of different modeling approaches, selecting and iterating on combinations that suit specific marketing contexts.

• Analyze raw data: assessing quality, cleansing, structuring for downstream processing • Design accurate and scalable prediction algorithms • Collaborate with engineering team to bring analytical prototypes to production • Generate actionable insights for business improvements

• Execute. This means being constantly biased towards action, knowing the data, being in the details, setting a high bar and building strong collaborative relationships with other teams, thinking boldly, disambiguating, always thinking of the customer first, and rapidly iterating towards something demonstrably awesome. • Learn. Always exploring new techniques and technologies. Collaborating with team members and helping to push the practice forward. • Design and Deploy. Ability to design and deploy end-to-end AI systems and pipelines • Communicate. Ability to communicate clearly with clients and peers. • Requirements Gathering. Ability to work with business to define requirements to solve business problems and translate those into solutions • Management. Ability to manage your time and client expectations, as well as complete quality work on time and within budget