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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Data Science with a focus on digital behavioral data analysis, Machine Learning, and AI model development. Proficient in translating complex data into actionable insights that drive product and marketing strategies.
Highest-signal resume keywords
Data Science ExpertiseDigital Behavioral Data AnalysisMachine Learning Model DevelopmentExperimentation TechniquesCloud Data Environments
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSQLSupervised Machine LearningUnsupervised Machine LearningPredictive ModelingBehavioral SegmentationTime Series AnalysisDeep LearningGenerative ModelsCausal Inference
Soft Skills
Analytical ThinkingCritical ThinkingInvestigative MindsetHypothesis-Driven ApproachCommunication Skills
Tools & Technologies
Google AnalyticsAdobeTealiumSnowplowAWSGCPAzure
Industry Keywords
User Behavior ModelsA/B TestingEvent-Driven Data ArchitectureProduct Growth TeamsData Democratization
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformNumpyPandasPythonPyTorchScikit-LearnSQLTensorflow
About the role
Key responsibilities & impact- Translate digital event data (web/app) into user behavior models
- Develop exploratory and advanced analyses to identify patterns, journeys, and friction points
- Produce actionable insights that influence product, marketing, and customer experience decisions
- Formulate and execute analytical hypotheses, ensuring validation through testing and experimentation
- Design, develop, and scale Machine Learning and AI models focused on behavior and personalization
- Implement experimentation strategies (A/B testing, causal inference, uplift modeling)
- Collaborate with product, engineering, and analytics squads to ensure proper instrumentation and data quality
- Evolve frameworks and methodologies for measuring behavior and the impact of initiatives
- Support data democratization, ensuring clarity and understanding of generated insights
Requirements
What you’ll need- Solid experience as a Data Scientist (senior level)
- Strong expertise in digital behavioral data analysis (front-end events, tracking, user journey)
- Advanced experience with:
- Python (pandas, numpy, scikit-learn, PyTorch/TensorFlow)
- SQL (query performance and analytical modeling)
- Supervised and unsupervised Machine Learning
- Predictive modeling and behavioral segmentation
- Time series analysis and journey analytics
- Experience with tracking and analytics tools (e.g., Google Analytics, Adobe, Tealium, Snowplow, etc.)
- Proficiency in experimentation techniques and causal inference
- Familiarity with cloud data environments (AWS, GCP, or Azure)
- Experience applying Artificial Intelligence to user behavior, including:
- Recommender systems
- Personalization at scale
- Predictive models for churn, conversion, and engagement
- Experience with deep learning or generative models
- Experience working in digital product or growth teams
- Knowledge of event-driven data architecture
- Strong analytical and critical thinking skills
- Ability to translate complex data into clear, executive-level narratives
- Investigative mindset, hypothesis-driven approach
Benefits
Comp & perks- Health and dental insurance
- Meal and food allowance
- Childcare assistance
- Extended paternity leave
- Partnerships with gyms and health & wellness providers via Wellhub (Gympass) and TotalPass
- Profit sharing and results participation (PLR)
- Life insurance
- Continuous learning platform (CI&T University)
- Discount club
- Free online platform dedicated to physical, mental, and overall well-being
- Pregnancy and responsible parenting course
- Partnerships with online learning platforms
- Language learning platform
- And many more!
