Job Description

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.
We are looking for a Data & Analytics Engineer supporting an AI/ML implementation for demand forecasting and resource optimization in the public transportation / fare collection industry. Works alongside an AWS ProServe ML Specialist on EDA, feature engineering, capacity modeling, and operational dashboards.
Responsibilities:

• Exploratory Data Analysis (EDA):

  • Conduct EDA and statistical profiling to identify trends and insights from data.
  • Perform feature engineering specifically for time-series forecasting.

• Data Wrangling and Preparation:

  • Extract and transform data from relational databases (RDS, Oracle, PostgreSQL) into analytics-ready formats.
  • Develop pipelines for data ingestion and processing.

• Machine Learning Modeling:

  • Build classical ML models for time-series forecasting, regression, and capacity/throughput modeling.
  • Evaluate model performance using metrics such as RMSE, MAE, and MAPE, documenting performance results.

• Data Visualization:

  • Create insightful data visualizations and dashboards using Amazon QuickSight or equivalent BI tools.

• Python Data Stack:

  • Utilize the Python data stack (pandas, NumPy, scikit-learn, matplotlib/seaborn) for data manipulation and analysis.

• Model Explainability:

  • Apply SHAP or other model explainability techniques to interpret model outputs.

• Collaboration and Communication:

  • Work closely with stakeholders to translate business rules into effective feature engineering pipelines.
  • Engage in milestone-driven, Firm Fixed Price delivery models, ensuring timely project completion.

Requirements for this challenge:

• 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.

Expected Certifications

• AWS Certified Cloud Practitioner
• AWS Certified Data Engineer – Associate
• AWS Certified Machine Learning – Associate or AWS Certified Machine Learning – Specialty

#LI-LO1 Our benefits include:
- Premium Healthcare- Meal voucher- Maternity and Parental leaves- Mobile services subsidy- Sick pay-Life insurance- CI&T University - Colombian Holidays- Paid VacationsAnd many others.

Collaboration is our superpower, diversity unites us, and excellence is our standard. We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.