
Data Scientist
IDT BY INDET GROUP
full-time
Posted on:
Location Type: Remote
Location: Brazil
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About the role
- Production-Grade Modeling: Design, develop, and maintain reproducible machine learning models for production environments.
- Behavioral Forecasting: Build advanced models to predict user engagement patterns, including retention and activity frequency.
- Optimization & Causal Inference: Develop Uplift models to measure the incremental impact of business interventions.
- Recommendation Systems: Improve and scale next-best-action (NBA) engines to enhance personalized user experiences.
- Experimental Design: Lead the statistical design and analysis of A/B testing to validate model performance and business hypotheses.
Requirements
- Experience: 3+ years of professional experience in Data Science, with a deep understanding of Supervised/Unsupervised learning including Regression, Boosting, Clustering, and related frameworks.
- Core Stack:
- - Python: Advanced use of Pandas, Numpy, and Scikit-learn for complex feature engineering, model selection, and pipeline optimization.
- - SQL: Proficiency in querying and structuring data from large-scale databases.
- - Visualization: Ability to leverage Tableau to communicate complex analytical results through interactive dashboards and data storytelling.
- Education: Bachelor’s degree in a quantitative field (Computer Science, Statistics, Mathematics, or related).
Benefits
- Remote work opportunity!
- B2B Employment ($, gross).
- Stable job with long-term growth perspective.
- Competitive salary with annual performance review.
- Really good hardware.
- An exciting and challenging job with talented people around.
- Continuous learning and career growth opportunities.
- Compensation for professional training, seminars, and conferences.
- Referral program – get rewarded for helping us grow the team with talented people.
- Company-supported English classes to enhance your professional growth.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningsupervised learningunsupervised learningregressionboostingclusteringfeature engineeringmodel selectionpipeline optimizationA/B testing
Soft Skills
statistical designdata storytelling