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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
- 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
- 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
- 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 Machine Learning – Associate or AWS Certified Machine Learning – Specialty

Our Benefits Include

- Maternity and Parental leaves
- Mobile services subsidy
- Sick pay – Life insurance
- CI&T; University
- Colombian Holidays
- Paid Vacations

And 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.

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Postúlate en Kit Empleo: kitempleo.com.co/empleo/1a8zk6

📌 Senior Data & Analytics Engineer, Colombia
🏢 Ci&T
📍 Colombia