Ad Operations manager

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Ubiminds

SiteLinkedInTodas as Vagas

51 - 200 funcionários

🇺🇲 A Ubiminds empodera talentos latino-americanos para que construam carreiras, relacionamentos e produtos significativos em empresas americanas de tecnologia.

Descrição

• Design and implement predictive models and statistical analyses to support business initiatives. • Apply supervised and unsupervised machine learning techniques to solve problems such as customer segmentation, churn prediction, and behavioral analysis. • Partner with business stakeholders to frame analytical problems and translate them into actionable insights. • Prepare, clean, and transform large datasets to support modeling and advanced analytics. • Develop and maintain reproducible analytical workflows using Python, R, SQL, or similar tools. • Build dashboards and analytical reports that help communicate results and support decision-making. • Evaluate model performance and continuously improve models through experimentation and statistical validation. • Promote a data-driven culture across the organization by educating stakeholders on analytical methodologies. • Collaborate in cross-functional teams working in agile environments.

🎯 Requisitos

• 5+ years of experience working with data analysis, statistics, or data science. • Strong background in statistical modeling and machine learning techniques (e.g., regression, clustering, PCA, random forest). • Experience working with large datasets and customer analytics. • Proficiency in Python, R, and SQL for data analysis and modeling. • Experience using statistical tools such as SAS, RStudio, or Jupyter Notebooks. • Strong knowledge of data preparation, feature engineering, and model validation techniques. • Ability to translate business problems into analytical solutions. • Experience working in data-driven organizations and communicating insights to business stakeholders. • Strong analytical thinking and problem-solving skills. • Familiarity with customer lifecycle analysis, churn modeling, or marketing analytics (Nice to Have). • Experience building data pipelines or centralized data models (Nice to Have). • Knowledge of A/B testing and statistical significance testing (Nice to Have). • Experience working in Agile/Scrum environments (Nice to Have). • Exposure to big data environments or cloud-based analytics platforms (Nice to Have).

🏖️ Benefícios

• Are placed in a product-based company, with the same treatment as their full-time employees. • Have our full back-office support, from career guidance to HR and concierge services. • Enjoy our remote-first policy – we are a distributed team, after all. • Get your own MacBook (none of that "bring your own device" stuff here). • Have access to growth opportunities with other amazing technology professionals, through tech talks, chapter meetings, and even remote happy hours for tons of fun! • Improve your English through free lessons with a native English speaker - get to the next level of your communication skills! • Candidate Referral bonus (promote Ubi to your tech friends, and get paid for it!) • Miss working in the office? Our cool Florianópolis headquarters is available, whenever you want, with weekly quick massages & tasty snacks, soft drinks, and games