Ad Operations Manager

Ubiminds

Senior Data Scientist designing and implementing data-driven solutions for a growing data-driven company in financial services. Collaborate closely with stakeholders to translate business problems into analytical frameworks.

Posted 7/13/2026full-timeRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in predictive modeling, statistical analysis, and machine learning techniques to derive actionable insights from large datasets. Proficient in Python, R, and SQL, with a strong focus on data preparation, feature engineering, and model validation.

Highest-signal resume keywords

Predictive ModelingMachine Learning TechniquesData AnalysisStatistical ValidationData Preparation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingStatistical AnalysisMachine LearningData PreparationFeature EngineeringModel ValidationCustomer AnalyticsData AnalysisStatistical ModelingChurn Prediction

Soft Skills

Analytical ThinkingProblem-SolvingCommunication

Tools & Technologies

PythonRSQLSASRStudioJupyter NotebooksAgileScrum

Industry Keywords

Customer SegmentationBehavioral AnalysisData-Driven CultureA/B TestingBig DataCloud-Based Analytics

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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).

Benefits

Comp & perks

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