Senior Data Scientist

Cogna Educação

. Develop, train, and validate regression, classification, and forecasting models using frameworks such as scikit-learn .

Posted 10/27/2026full-timeSão Paulo • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and validating regression, classification, and forecasting models using Python or R, with a strong foundation in statistics and data manipulation. Capable of translating complex business problems into actionable data-driven solutions while effectively communicating insights to diverse audiences.

Highest-signal resume keywords

Regression Model DevelopmentClassification Model DevelopmentStatistical AnalysisPython ProgrammingData Pipeline Construction

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Science AlgorithmsTime Series AnalysisData ManipulationModel ValidationPredictive Experiment Design

Soft Skills

Clear CommunicationCollaboration

Tools & Technologies

Scikit-LearnPandasNumPyStatsmodelsAI Agents Development

Industry Keywords

Data-Driven SolutionsPerformance MetricsContinuous ImprovementProbabilistic TechniquesMulti-Agent Systems

Tech Stack

Tools & technologies

NumpyPandasPythonScikit-Learn

About the role

Key responsibilities & impact

Develop, train, and validate regression, classification, and forecasting models using frameworks such as scikit-learn
Apply statistical and probabilistic techniques to analyze large volumes of data
Design predictive experiments, evaluate performance metrics, and propose continuous improvements
Collaborate with business and technology teams to translate business problems into data-driven solutions
Build data pipelines and prototype solutions in Python or R for different analytical contexts
Clearly communicate technical results and insights to non-technical audiences

Requirements

What you’ll need

Practical experience with data science algorithms, regression, classification, and time series
Proficiency in Python or R, including libraries such as scikit-learn, pandas, NumPy, and statsmodels
Strong knowledge of statistics, probability, and inference
Experience manipulating, cleaning, and transforming data for modeling
Ability to document processes and structure analyses clearly and for reuse
Experience developing AI agents and multi-agent systems, working with local LLMs, and applying fine-tuning techniques

Benefits

Comp & perks

Profit sharing
Meal or food allowance provided through a flexible benefits card
Medical insurance, including dependent coverage and co-payments
Dental insurance
Undergraduate and graduate study scholarships for you and your dependents
Birthday day off
SESC partnership
Univers pharmacy partnership with discounts on medications
Corporate university with free learning paths and courses
Wellhub (Gympass)
Ninho Program for families expecting a new baby
Valoriza – Internal Recruitment Program