**We are DP6!** -------------------- **We optimize marketing efficiency through Data Science, Innovation, and AI.** We are a marketing analytics consulting firm. Leveraging data exploration technologies (business, marketing, analytics, big data), we monitor and analyze every consumer–brand touchpoint. With over 16 years of market experience, we are the market leader in Martech across Latin America (Analytics and Intelligence category) and have been featured in the Great Place to Work ranking since 2012 — recognized as the 11th best company to work for in Brazil. We are part of The Brandtech Group, a global marketing and technology company headquartered in New York with offices in 40 countries. At DP6, we value diversity. All our positions are open to professionals of all genders, sexual orientations, beliefs, ethnicities, and physical or mental conditions. If you are a transgender person or a person with a disability, please apply! We are seeking a Data Science professional to work on challenging projects directly applied to the marketing domain. If you are passionate about statistics and machine learning, have deepened your expertise in causal inference (causality / causal inference / inferência causal) and Bayesian inference (bayesian inference / inferência bayesiana), and aim to transform this knowledge into innovative solutions with real business impact, this may be the ideal opportunity for you. Strong analytical reasoning, strategic vision, creativity, and enthusiasm for developing and applying innovative, impactful solutions for our clients are essential. ### **Responsibilities** * Apply advanced techniques such as Bayesian inference to improve statistical model accuracy and interpretability; * Conduct incrementality studies (quasi\-experiments) and marketing mix modeling (MMM); * Engage with internal and external stakeholders to identify analytical opportunities and propose data-driven solutions; * Work with large-scale datasets, including web navigation data and first-party data, to develop projects such as propensity models, churn models, recommendation systems, forecasting, media attribution, segmentation, predictive LTV, and causal inference; * Perform exploratory data analysis, data cleaning and preprocessing, and develop and monitor statistical models following methodologies such as CRISP\-DM and KDD; * Share insights with the team and clients via data storytelling, dashboards, and strategic presentations; * Drive continuous improvement of production models and solutions. ### **Requirements** * Programming in R or Python for data analysis; * Advanced SQL knowledge; * Knowledge and application of causal inference and Bayesian inference techniques (causal inference, bayesian inference); * Descriptive, inferential, probabilistic statistics, and hypothesis testing; * Experience with supervised and unsupervised learning algorithms; * End-to-end experience in Data Science projects. If you are interested in using data science to transform marketing with statistical rigor and tangible impact, DP6 is the place for you!
João Silva
Indeed · HR
João Silva
Indeed · HR
