We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions, looking for a Data & Analytics Engineer to support AI/ML implementation for demand forecasting and resource optimization in the public transportation / fare collection industry.
Requirements
- 4+ years in data engineering or applied data science roles, preferably with experience on AWS
- Proficient in exploratory data analysis (EDA), statistical profiling, and feature engineering for time-series forecasting
- Experience in data wrangling from relational databases (RDS, Oracle, PostgreSQL) into analytics-ready formats
- Strong understanding of classical ML modeling techniques, including time-series forecasting and regression
- Familiarity with model evaluation metrics (RMSE, MAE, MAPE) and performance documentation
- Experience in data visualization and dashboard development using Amazon QuickSight or equivalent BI tools
- Hands-on experience with Amazon SageMaker (training, evaluation, Clarify)
- Proficient in the Python data stack, including pandas, NumPy, scikit-learn, matplotlib, and seaborn
- Working knowledge of SQL and dimensional modeling
- Familiarity with SHAP or model explainability techniques is a plus
Benefits
- Premium Healthcare
- Meal voucher
- Maternity and Parental leaves
- Mobile services subsidy
- Sick pay-Life insurance
- CI&T University
- Colombian Holidays
- Paid Vacations
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