Mid-level Data Scientist
Cogna Educação
full-time
Posted on:
Location Type: Hybrid
Location: São Paulo • Brazil
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About the role
- You will work within the AI Products area, with the purpose of building and maintaining proprietary ML/DL models (and embedding them into products and processes) for adaptive learning, including personalized learning-path models, academic performance reports, and recommendation models for educational materials.
- You will also be responsible for:
- Building and maintaining engagement and dropout propensity (churn) models.
- Performing exploratory data analysis and classical statistical modeling for partner teams.
- Evaluating model drift in production.
- As you will be part of a Product area within the business (Student Experience and Success), you must be able to translate business problems into technical solutions and, conversely, explain technical concepts to business users in an accessible way. You should also know how precise the solution needs to be, always keeping the benefit in mind rather than focusing solely on technical details.
Requirements
- Degree in Computer Science, Computer Engineering, Mathematics, Statistics, or Physics
- Experience with Python, SQL, Machine Learning, Statistics, and Data Visualization
- Strong communication, teamwork, problem-solving, and critical thinking skills
- Experience with data science projects and model productization (deploying models to production)
- Experience or research in cognitive and pedagogical areas is a plus
Benefits
- Profit sharing: celebrating results is part of Cogna’s culture.
- Meal allowance or food benefit: via a flexible benefits card.
- Health insurance: a comprehensive plan with dependent coverage and co-participation.
- Dental care: available to keep your smile healthy.
- Tuition scholarships for undergraduate and graduate studies: access to our educational institutions for you and your dependents (spouse and children).
- Birthday day off: choose a day to relax and celebrate.
- SESC partnership: access to a range of services that enhance quality of life.
- Pharmacy partnership (Univers): discounts on a variety of medications.
- Corporate university: various learning paths and free courses in our corporate university to help you keep growing with us.
- Book discounts: purchase top titles from our publishers at a discount.
- Wellhub (Gympass): so you can stay active in your daily routine.
- Ninho Program: a program dedicated to families expecting a new baby.
- Valoriza - Internal Recruitment Program: to boost your career through internal opportunities.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLMachine LearningStatisticsData VisualizationExploratory Data AnalysisStatistical ModelingModel ProductizationModel Drift EvaluationChurn Modeling
Soft Skills
CommunicationTeamworkProblem-solvingCritical Thinking