• Own pricing and risk strategy for our fantasy markets, balancing competitiveness and profitability. • Lead and grow a high-performing team of pricing analysts and data scientists. • Oversee development and deployment of pricing models across major sports and esports (NBA, NFL, CS2, etc). • Partner cross-functionally with Product, Engineering, and BizOps to launch and optimize pricing initiatives. • Guide experimentation around payout structures, hold targets, and win rate optimization to drive engagement and margin. • Maintain and evolve frameworks for pricing accuracy, risk exposure monitoring, and market health. • Ensure data integrity and modeling quality across all pricing efforts.

• Coletar, organizar, processar e analisar dados, identificando padrões e tendências que possam ajudar na tomada de decisões estratégicas; • Apoiar o desenvolvimento de análises estatísticas (descritivas e inferenciais); • Entender necessidades em negócios de nossos clientes, liderando as discussões com usuários e traduzindo necessidades identificadas em requisitos para as equipes de desenvolvimento.

Role Description 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. - Full-time telecommuting is an option. Qualifications - Master’s degree (or its foreign degree equivalent) in Data Science, Analytics, or closely related quantitative discipline and two (2) years of experience in the job offered or in any occupation in related field, OR - Bachelor’s degree (or its foreign degree equivalent) in Data Science, Analytics or closely related quantitative discipline and five (5) years of progressively responsible experience in the job offered or in any occupation in related field. Requirements - Python - SQL - Machine Learning - A/B Testing - TensorFlow - PyTorch - Jupyter Notebook - Git - Data Analytics - Statistical Inference - Advertising Analytics domain experience - Any suitable combination of education, training, and experience is acceptable. - Full-time telecommuting is an option. Benefits - Salary: $203,000.00 - $235,319.00 per annum - This position is not available for relocation assistance. Company Description 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. - See also Know Your Rights and Pinterest Policy for more information regarding U.S. roles. - If you require a medical or religious accommodation during the job application process, please complete this form for support.

• Lead complex, cross-functional analytics projects focusing on improving key outcomes • Serve as the strategic lead for the Global Employee Listening Program • Translate complex datasets into "executive-ready" narratives and visualizations • Partner with HRIS and EDE teams to migrate disparate data sources into a unified "single source of truth" • Design and deploy advanced Tableau dashboards and analytics tools for COE partners • Utilize SQL, Python, or R to uncover correlations in data • Coach HRBPs and COEs on data literacy and insights interpretation